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19 Commits

Author SHA1 Message Date
smithery-ai[bot]
f5c01ad83a Update README 2025-02-04 20:29:52 +00:00
smithery-ai[bot]
190915214d Add Smithery configuration 2025-02-04 20:29:51 +00:00
jango-blockchained
905339fb67 refactor(docker): switch to Node.js base image and optimize Bun installation
- Replace Bun base image with Node.js slim image
- Install Bun globally using npm in both builder and runner stages
- Simplify Docker build process and dependency management
- Remove unnecessary environment variables and build flags
- Update docker-build.sh to use BuildKit and remove lockfile before build
2025-02-04 20:18:46 +01:00
jango-blockchained
849b080aba chore: update project dependencies and build configuration
- Remove bun.lockb from version control
- Add comprehensive docker-build.sh script for optimized Docker builds
- Update Dockerfile with multi-stage build and improved resource management
- Add winston logging dependencies to package.json
- Enhance Docker image build process with resource constraints and caching
2025-02-04 20:14:13 +01:00
jango-blockchained
f8bbe4af6f refactor(docker): optimize Dockerfiles for multi-stage builds and production deployment
- Implement multi-stage builds for main and speech Dockerfiles
- Reduce image size by using slim base images
- Improve dependency installation with frozen lockfile and production flags
- Add resource constraints and healthcheck to speech service Dockerfile
- Enhance build caching and separation of build/runtime dependencies
2025-02-04 19:41:23 +01:00
jango-blockchained
3a6f79c9a8 feat(speech): enhance speech configuration and example integration
- Add comprehensive speech configuration in .env.example and app config
- Update Docker speech Dockerfile for more flexible model handling
- Create detailed README for speech-to-text examples
- Implement example script demonstrating speech features
- Improve speech service initialization and configuration management
2025-02-04 19:35:50 +01:00
jango-blockchained
60f18f8e71 feat(speech): add speech-to-text and wake word detection modules
- Implement SpeechToText class with Docker-based transcription capabilities
- Add wake word detection using OpenWakeWord and fast-whisper models
- Create Dockerfile for speech processing container
- Develop comprehensive test suite for speech recognition functionality
- Include audio processing and event-driven transcription features
2025-02-04 19:08:01 +01:00
jango-blockchained
47f11b3d95 docs: update README.md 2025-02-04 18:35:17 +01:00
jango-blockchained
f24be8ff53 docs: remove outdated support and rate limiting sections from README 2025-02-04 18:31:39 +01:00
jango-blockchained
dfff432321 docs: update Jekyll configuration for GitHub Pages and dependencies
- Add repository settings and GitHub metadata plugin
- Update baseurl to match repository name
- Include additional Jekyll and Ruby dependencies in Gemfile
- Simplify configuration by removing redundant sections
2025-02-04 18:00:59 +01:00
jango-blockchained
d59bf02d08 docs: enhance Jekyll configuration with comprehensive site settings
- Add base URL and site configuration for GitHub Pages
- Include remote theme and additional Jekyll plugins
- Configure navigation structure and page layouts
- Set up collections for tools and development sections
- Optimize Gemfile with additional dependencies
2025-02-04 17:58:10 +01:00
jango-blockchained
345a5888d9 docs: update Jekyll configuration for enhanced documentation structure
- Add new documentation pages to header navigation
- Configure collections for tools and development sections
- Set default layouts for pages, tools, and development collections
- Improve documentation site organization and navigation
2025-02-04 17:51:04 +01:00
jango-blockchained
d6a5771e01 docs: enhance project documentation with comprehensive updates
- Revamp README.md with improved project overview, architecture diagram, and badges
- Create new development and tools documentation with detailed guides
- Update API documentation with enhanced examples, rate limiting, and security information
- Refactor and consolidate documentation files for better navigation and clarity
- Add emojis and visual improvements to make documentation more engaging
2025-02-04 17:49:58 +01:00
jango-blockchained
5f4ddfbd88 docs: add GitHub Pages documentation deployment workflow
- Create GitHub Actions workflow for deploying documentation to GitHub Pages
- Update README.md with documentation badge and link
- Add missing gem dependency in docs/Gemfile
- Configure Jekyll build and deployment process
2025-02-04 17:37:20 +01:00
jango-blockchained
c11b40da9e docs: standardize documentation file paths and references
- Update README.md documentation links to use lowercase, consistent file paths
- Remove "(if available)" annotations from documentation references
- Ensure all documentation links point to correct, lowercase markdown files
2025-02-04 17:34:31 +01:00
jango-blockchained
3a54766b61 docs: refactor and improve documentation across multiple files
- Streamline and enhance documentation for API, architecture, getting started, and usage
- Improve clarity, readability, and organization of documentation files
- Update content to be more concise and informative
- Ensure consistent formatting and style across documentation
2025-02-04 17:33:26 +01:00
jango-blockchained
8b1948ce30 docs: enhance documentation structure and add project roadmap
- Refactor index.md with improved navigation and comprehensive documentation sections
- Update README.md to streamline documentation navigation
- Create new roadmap.md with detailed project goals and vision
- Add testing.md with comprehensive testing guidelines and best practices
- Improve overall documentation clarity and user experience
2025-02-04 17:25:32 +01:00
jango-blockchained
38ee5368d1 docs: update acronym
- Rename MCP acronym in documentation and package files
- Update site name, package description, and documentation references
- Ensure consistent terminology across project files
2025-02-04 17:19:58 +01:00
jango-blockchained
b0ad1cf0ad docs: add comprehensive documentation for MCP project
- Create comprehensive documentation structure using MkDocs
- Add markdown files for API reference, architecture, getting started, and troubleshooting
- Configure GitHub Pages deployment workflow
- Include custom Jekyll and MkDocs configurations
- Add custom styling and layout for documentation site
2025-02-04 17:14:39 +01:00
47 changed files with 3130 additions and 827 deletions

View File

@@ -73,7 +73,6 @@ temp/
.cloud/ .cloud/
*.db *.db
*.db-* *.db-*
bun.lockb
.cursor/ .cursor/
.cursor* .cursor*
.cursorconfig .cursorconfig

View File

@@ -102,3 +102,10 @@ TEST_HASS_HOST=http://localhost:8123
TEST_HASS_TOKEN=test_token TEST_HASS_TOKEN=test_token
TEST_HASS_SOCKET_URL=ws://localhost:8123/api/websocket TEST_HASS_SOCKET_URL=ws://localhost:8123/api/websocket
TEST_PORT=3001 TEST_PORT=3001
# Speech Features Configuration
ENABLE_SPEECH_FEATURES=false
ENABLE_WAKE_WORD=true
ENABLE_SPEECH_TO_TEXT=true
WHISPER_MODEL_PATH=/models
WHISPER_MODEL_TYPE=base

64
.github/workflows/deploy-docs.yml vendored Normal file
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@@ -0,0 +1,64 @@
name: Deploy Documentation to GitHub Pages
on:
push:
branches:
- main
paths:
- 'docs/**'
- '.github/workflows/deploy-docs.yml'
permissions:
contents: read
pages: write
id-token: write
# Allow only one concurrent deployment
concurrency:
group: "pages"
cancel-in-progress: true
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Ruby
uses: ruby/setup-ruby@v1
with:
ruby-version: '3.2'
bundler-cache: true
cache-version: 0
- name: Setup Pages
uses: actions/configure-pages@v4
- name: Install dependencies
run: |
cd docs
bundle install
- name: Build site
run: |
cd docs
bundle exec jekyll build
env:
JEKYLL_ENV: production
- name: Upload artifact
uses: actions/upload-pages-artifact@v3
with:
path: docs/_site
deploy:
needs: build
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
steps:
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v4

32
.github/workflows/docs-deploy.yml vendored Normal file
View File

@@ -0,0 +1,32 @@
name: Deploy Documentation
on:
push:
branches:
- main
paths:
- 'docs/**'
- 'mkdocs.yml'
permissions:
contents: write
jobs:
deploy-docs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: 3.x
- name: Install dependencies
run: |
pip install mkdocs-material
pip install mkdocs
- name: Deploy documentation
run: mkdocs gh-deploy --force

9
.gitignore vendored
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@@ -79,3 +79,12 @@ coverage/
.bun/ .bun/
.cursorconfig .cursorconfig
bun.lockb bun.lockb
# MkDocs
site/
.site/
# Python
__pycache__/
*.py[cod]
*$py.class

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@@ -1,23 +1,65 @@
# Use Bun as the base image # Use Node.js as base for building
FROM oven/bun:1.0.25 FROM node:20-slim as builder
# Set working directory # Set working directory
WORKDIR /app WORKDIR /app
# Copy package files # Install bun
RUN npm install -g bun@1.0.25
# Install only the minimal dependencies needed and clean up in the same layer
RUN apt-get update && apt-get install -y --no-install-recommends \
ca-certificates \
curl \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean \
&& rm -rf /var/cache/apt/*
# Set build-time environment variables
ENV NODE_ENV=production \
NODE_OPTIONS="--max-old-space-size=2048"
# Copy only package files first
COPY package.json ./ COPY package.json ./
# Install dependencies # Install dependencies without lockfile
RUN bun install RUN bun install --no-cache
# Copy source code # Copy source files and build
COPY . . COPY src ./src
COPY tsconfig*.json ./
RUN bun build ./src/index.ts --target=bun --minify --outdir=./dist
# Build TypeScript # Create a smaller production image
RUN bun run build FROM node:20-slim as runner
# Install bun in production image
RUN npm install -g bun@1.0.25
# Set production environment variables
ENV NODE_ENV=production \
NODE_OPTIONS="--max-old-space-size=1024"
# Create a non-root user
RUN addgroup --system --gid 1001 nodejs && \
adduser --system --uid 1001 bunjs
WORKDIR /app
# Copy only the necessary files from builder
COPY --from=builder --chown=bunjs:nodejs /app/dist ./dist
COPY --from=builder --chown=bunjs:nodejs /app/node_modules ./node_modules
COPY --chown=bunjs:nodejs package.json ./
# Switch to non-root user
USER bunjs
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:4000/health || exit 1
# Expose port # Expose port
EXPOSE 4000 EXPOSE 4000
# Start the application # Start the application with optimized flags
CMD ["bun", "run", "start"] CMD ["bun", "--smol", "run", "start"]

384
README.md
View File

@@ -1,220 +1,296 @@
# Model Context Protocol (MCP) Server for Home Assistant # 🚀 MCP Server for Home Assistant - Bringing AI-Powered Smart Homes to Life!
The Model Context Protocol (MCP) Server is a robust, secure, and high-performance bridge that integrates Home Assistant with Language Learning Models (LLMs), enabling natural language control and real-time monitoring of your smart home devices. Unlock advanced automation, control, and analytics for your Home Assistant ecosystem. [![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)
[![Bun](https://img.shields.io/badge/bun-%3E%3D1.0.26-black)](https://bun.sh)
[![TypeScript](https://img.shields.io/badge/typescript-%5E5.0.0-blue.svg)](https://www.typescriptlang.org)
[![Test Coverage](https://img.shields.io/badge/coverage-95%25-brightgreen.svg)](#)
[![Documentation](https://img.shields.io/badge/docs-github.io-blue.svg)](https://jango-blockchained.github.io/homeassistant-mcp/)
[![Docker](https://img.shields.io/badge/docker-%3E%3D20.10.8-blue)](https://www.docker.com)
![License](https://img.shields.io/badge/license-MIT-blue.svg) ---
![Bun](https://img.shields.io/badge/bun-%3E%3D1.0.26-black)
![TypeScript](https://img.shields.io/badge/typescript-%5E5.0.0-blue.svg)
![Test Coverage](https://img.shields.io/badge/coverage-95%25-brightgreen.svg)
## Table of Contents ## Overview 🌐
- [Overview](#overview) Welcome to the **Model Context Protocol (MCP) Server for Home Assistant**! This robust platform bridges Home Assistant with cutting-edge Language Learning Models (LLMs), enabling natural language interactions and real-time automation of your smart devices. Imagine entering your home, saying:
- [Key Features](#key-features)
- [Architecture & Design](#architecture--design)
- [Installation](#installation)
- [Basic Setup](#basic-setup)
- [Docker Setup (Recommended)](#docker-setup-recommended)
- [Usage](#usage)
- [API & Documentation](#api--documentation)
- [Development](#development)
- [Roadmap & Future Plans](#roadmap--future-plans)
- [Community & Support](#community--support)
- [Contributing](#contributing)
- [Troubleshooting & FAQ](#troubleshooting--faq)
- [License](#license)
## Overview > “Hey MCP, dim the lights and start my evening playlist,”
The MCP Server bridges Home Assistant with advanced LLM integrations to deliver intuitive control, automation, and state monitoring. Leveraging a high-performance runtime and real-time communication protocols, MCP offers a seamless experience for managing your smart home. and watching your home transform instantly—that's the magic that MCP Server delivers!
## Key Features ---
### Device Control & Monitoring ## Key Benefits ✨
- **Smart Device Control:** Manage lights, climate, covers, switches, sensors, media players, fans, locks, vacuums, and cameras using natural language commands.
- **Real-time Updates:** Receive instant notifications and updates via Server-Sent Events (SSE).
### System & Automation Management ### 🎮 Device Control & Monitoring
- **Automation Engine:** Create, modify, and trigger custom automation rules with ease. - **Voice-Controlled Automation:**
- **Add-on & Package Management:** Integrates with HACS for deploying custom integrations, themes, scripts, and applications. Use simple commands like "Turn on the kitchen lights" or "Set the thermostat to 22°C" without touching a switch.
- **Robust System Management:** Features advanced state monitoring, error handling, and security safeguards. **Real-World Example:**
In the morning, say "Good morning! Open the blinds and start the coffee machine" to kickstart your day automatically.
## Architecture & Design - **Real-Time Communication:**
Experience sub-100ms latency updates via Server-Sent Events (SSE) or WebSocket connections, ensuring your dashboard is always current.
**Real-World Example:**
Monitor energy usage instantly during peak hours and adjust remotely for efficient consumption.
The MCP Server is built with scalability, resilience, and security in mind: - **Seamless Automation:**
Create scene-based rules to synchronize multiple devices effortlessly.
**Real-World Example:**
For movie nights, have MCP dim the lights, adjust the sound system, and launch your favorite streaming app with just one command.
- **High-Performance Runtime:** Powered by Bun for fast startup, efficient memory utilization, and native TypeScript support. ### 🤖 AI-Powered Enhancements
- **Real-time Communication:** Employs Server-Sent Events (SSE) for continuous, real-time data updates. - **Natural Language Processing (NLP):**
- **Modular & Extensible:** Designed to support plugins, add-ons, and custom automation scripts, allowing for easy expansion. Convert everyday speech into actionable commands—just say, "Prepare the house for dinner," and MCP will adjust lighting, temperature, and even play soft background music.
- **Secure API Integration:** Implements token-based authentication, rate limiting, and adherence to best security practices.
_For a deeper dive into the system architecture, please refer to our [Architecture Documentation](docs/ARCHITECTURE.md) (if available)._ - **Predictive Automation & Suggestions:**
Receive proactive recommendations based on usage habits and environmental trends.
**Real-World Example:**
When home temperature fluctuates unexpectedly, MCP suggests an optimal setting and notifies you immediately.
## Installation - **Anomaly Detection:**
Continuously monitor device activity and alert you to unusual behavior, helping prevent malfunctions or potential security breaches.
### Basic Setup ---
1. **Install Bun:** If Bun is not installed: ## Architectural Overview 🏗
```bash
curl -fsSL https://bun.sh/install | bash
```
2. **Clone the Repository:** Our architecture is engineered for performance, scalability, and security. The following Mermaid diagram illustrates the data flow and component interactions:
```bash
git clone https://github.com/jango-blockchained/homeassistant-mcp.git
cd homeassistant-mcp
```
3. **Install Dependencies:** ```mermaid
```bash graph TD
bun install subgraph Client
``` A[Client Application<br/>(Web / Mobile / Voice)]
end
subgraph CDN
B[CDN / Cache]
end
subgraph Server
C[Bun Native Server]
E[NLP Engine<br/>& Language Processing Module]
end
subgraph Integration
D[Home Assistant<br/>(Devices, Lights, Thermostats)]
end
4. **Build the Project:** A -->|HTTP Request| B
```bash B -- Cache Miss --> C
bun run build C -->|Interpret Command| E
``` E -->|Determine Action| D
D -->|Return State/Action| C
C -->|Response| B
B -->|Cached/Processed Response| A
```
### Docker Setup (Recommended) Learn more about our architecture in the [Architecture Documentation](docs/architecture.md).
1. **Clone the Repository:** ---
```bash
git clone https://github.com/jango-blockchained/homeassistant-mcp.git
cd homeassistant-mcp
```
2. **Configure Environment:** ## Technical Stack 🔧
```bash
cp .env.example .env
```
Customize the `.env` file with your Home Assistant configuration.
3. **Deploy with Docker Compose:** Our solution is built on a modern, high-performance stack that powers every feature:
```bash
docker compose up -d
```
- View logs: `docker compose logs -f`
- Stop the server: `docker compose down`
4. **Update the Application:** - **Bun:**
```bash A next-generation JavaScript runtime offering rapid startup times, native TypeScript support, and high performance.
git pull && docker compose up -d --build 👉 [Learn about Bun](https://bun.sh)
```
## Usage - **Bun Native Server:**
Utilizes Bun's built-in HTTP server to efficiently process API requests with sub-100ms response times.
👉 See the [Installation Guide](docs/getting-started/installation.md) for details.
Once the server is running, open your browser at [http://localhost:3000](http://localhost:3000). For real-time device updates, integrate the SSE endpoint in your application: - **Natural Language Processing (NLP) & LLM Integration:**
Processes and interprets natural language commands using state-of-the-art LLMs and custom NLP modules.
👉 Find API usage details in the [API Documentation](docs/api.md).
- **Home Assistant Integration:**
Provides seamless connectivity with Home Assistant, ensuring flawless communication with your smart devices.
👉 Refer to the [Usage Guide](docs/usage.md) for more information.
- **Redis Cache:**
Enables rapid data retrieval and session persistence essential for real-time updates.
- **TypeScript:**
Enhances type safety and developer productivity across the entire codebase.
- **JWT & Security Middleware:**
Protects your ecosystem with JWT-based authentication, request sanitization, rate-limiting, and encryption.
- **Containerization with Docker:**
Enables scalable, isolated deployments for production environments.
For further technical details, check out our [Documentation Index](docs/index.md).
---
## Installation 🛠
### Installing via Smithery
To install Home Assistant MCP Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@jango-blockchained/advanced-homeassistant-mcp):
```bash
npx -y @smithery/cli install @jango-blockchained/advanced-homeassistant-mcp --client claude
```
### 🐳 Docker Setup (Recommended)
For a hassle-free, containerized deployment:
```bash
# 1. Clone the repository (using a shallow copy for efficiency)
git clone --depth 1 https://github.com/jango-blockchained/homeassistant-mcp.git
# 2. Configure your environment: copy the example file and edit it with your Home Assistant credentials
cp .env.example .env # Modify .env with your Home Assistant host, tokens, etc.
# 3. Build and run the Docker containers
docker compose up -d --build
# 4. View real-time logs (last 50 log entries)
docker compose logs -f --tail=50
```
👉 Refer to our [Installation Guide](docs/getting-started/installation.md) for full details.
### 💻 Bare Metal Installation
For direct deployment on your host machine:
```bash
# 1. Install Bun (if not already installed)
curl -fsSL https://bun.sh/install | bash
# 2. Install project dependencies with caching support
bun install --frozen-lockfile
# 3. Launch the server in development mode with hot-reload enabled
bun run dev --watch
```
---
## Real-World Usage Examples 🔍
### 📱 Smart Home Dashboard Integration
Integrate MCP's real-time updates into your custom dashboard for a dynamic smart home experience:
```javascript ```javascript
const eventSource = new EventSource('http://localhost:3000/subscribe_events?token=YOUR_TOKEN&domain=light'); const eventSource = new EventSource('http://localhost:3000/subscribe_events?token=YOUR_TOKEN&domain=light');
eventSource.onmessage = (event) => { eventSource.onmessage = (event) => {
const data = JSON.parse(event.data); const data = JSON.parse(event.data);
console.log('Update received:', data); console.log('Real-time update:', data);
// Update your UI dashboard, e.g., refresh a light intensity indicator.
}; };
``` ```
## API & Documentation ### 🏠 Voice-Activated Control
Utilize voice commands to trigger actions with minimal effort:
Access comprehensive API details and guides in the docs directory: ```javascript
// Establish a WebSocket connection for real-time command processing
const ws = new WebSocket('wss://mcp.yourha.com/ws');
- **API Reference:** [API Documentation](docs/API.md) ws.onmessage = ({ data }) => {
- **SSE Documentation:** [SSE API](docs/SSE_API.md) const update = JSON.parse(data);
- **Troubleshooting Guide:** [TROUBLESHOOTING.md](docs/TROUBLESHOOTING.md) if (update.entity_id === 'light.living_room') {
- **Architecture Details:** [Architecture Documentation](docs/ARCHITECTURE.md) _(if available)_ console.log('Adjusting living room lighting based on voice command...');
// Additional logic to update your UI or trigger further actions can go here.
}
};
## Development // Simulate processing a voice command
function simulateVoiceCommand(command) {
console.log("Processing voice command:", command);
// Integrate with your actual voice-to-text system as needed.
}
### Running in Development Mode simulateVoiceCommand("Turn off all the lights for bedtime");
```bash
bun run dev
``` ```
### Running Tests 👉 Learn more in our [Usage Guide](docs/usage.md).
- Execute all tests: ---
```bash
bun test
```
- Run tests with coverage: ## Update Strategy 🔄
```bash
bun test --coverage
```
### Production Build & Start Maintain a seamless operation with zero downtime updates:
```bash ```bash
bun run build # 1. Pull the latest Docker images
bun start docker compose pull
# 2. Rebuild and restart containers smoothly
docker compose up -d --build
# 3. Clean up unused Docker images to free up space
docker system prune -f
``` ```
## Roadmap & Future Plans For more details, review our [Troubleshooting & Updates](docs/troubleshooting.md).
The MCP Server is under active development and improvement. Planned enhancements include: ---
- **Advanced Automation Capabilities:** Introducing more complex automation rules and conditional logic. ## Security Features 🔐
- **Enhanced Security Features:** Additional authentication layers, encryption enhancements, and security monitoring tools.
- **User Interface Improvements:** Development of a more intuitive web dashboard for easier device management.
- **Expanded Integrations:** Support for a wider array of smart home devices and third-party services.
- **Performance Optimizations:** Continued efforts to reduce latency and improve resource efficiency.
_For additional details, check out our [Roadmap](docs/ROADMAP.md) (if available)._ We prioritize the security of your smart home with multiple layers of defense:
- **JWT Authentication 🔑:** Secure, token-based API access to prevent unauthorized usage.
- **Request Sanitization 🧼:** Automatic filtering and validation of API requests to combat injection attacks.
- **Rate Limiting & Fail2Ban 🚫:** Monitors requests to prevent brute force and DDoS attacks.
- **End-to-End Encryption 🔒:** Ensures that your commands and data remain private during transmission.
## Community & Support ---
Join our community to stay updated, share ideas, and get help: ## Contributing 🤝
- **GitHub Issues:** Report bugs or suggest features on our [GitHub Issues Page](https://github.com/jango-blockchained/homeassistant-mcp/issues). We value community contributions! Here's how you can help improve MCP Server:
- **Discussion Forums:** Connect with other users and contributors in our community forums. 1. **Fork the Repository 🍴**
- **Chat Platforms:** Join our real-time discussions on [Discord](#) or [Slack](#). Create your own copy of the project.
2. **Create a Feature Branch 🌿**
```bash
git checkout -b feature/your-feature-name
```
3. **Install Dependencies & Run Tests 🧪**
```bash
bun install
bun test --coverage
```
4. **Make Your Changes & Commit 📝**
Follow the [Conventional Commits](https://www.conventionalcommits.org) guidelines.
5. **Open a Pull Request 🔀**
Submit your changes for review.
## Contributing Read more in our [Contribution Guidelines](docs/contributing.md).
We welcome your contributions! To get started: ---
1. Fork the repository. ## Roadmap & Future Enhancements 🔮
2. Create your feature branch:
```bash
git checkout -b feature/your-feature-name
```
3. Install dependencies:
```bash
bun install
```
4. Make your changes and run tests:
```bash
bun test
```
5. Commit and push your changes, then open a Pull Request.
_For detailed guidelines, see [CONTRIBUTING.md](CONTRIBUTING.md)._ We're continuously evolving MCP Server. Upcoming features include:
- **AI Assistant Integration (Q4 2024):**
Smarter, context-aware voice commands and personalized automation.
- **Predictive Automation (Q1 2025):**
Enhanced scheduling capabilities powered by advanced AI.
- **Enhanced Security (Q2 2024):**
Introduction of multi-factor authentication, advanced monitoring, and rigorous encryption methods.
- **Performance Optimizations (Q3 2024):**
Reducing latency further, optimizing caching, and improving load balancing.
## Troubleshooting & FAQ For more details, see our [Roadmap](docs/roadmap.md).
### Common Issues ---
- **Connection Problems:** Ensure that your `HASS_HOST`, authentication token, and WebSocket URL are correctly configured. ## Community & Support 🌍
- **Docker Deployment:** Confirm that Docker is running and that your `.env` file contains the correct settings.
- **Automation Errors:** Verify entity availability and review your automation configurations for potential issues.
_For more troubleshooting details, refer to [TROUBLESHOOTING.md](docs/TROUBLESHOOTING.md)._ Your feedback and collaboration are vital! Join our community:
- **GitHub Issues:** Report bugs or request features via our [Issues Page](https://github.com/jango-blockchained/homeassistant-mcp/issues).
- **Discord & Slack:** Connect with fellow users and developers in real-time.
- **Documentation:** Find comprehensive guides on the [MCP Documentation Website](https://jango-blockchained.github.io/homeassistant-mcp/).
### Frequently Asked Questions ---
**Q: What platforms does MCP Server support?** ## License 📜
A: MCP Server runs on Linux, macOS, and Windows (Docker is recommended for Windows environments). This project is licensed under the MIT License. See [LICENSE](LICENSE) for full details.
**Q: How do I report a bug or request a feature?** ---
A: Please use our [GitHub Issues Page](https://github.com/jango-blockchained/homeassistant-mcp/issues) to report bugs or request new features. 🔋 Batteries included.
**Q: Can I contribute to the project?**
A: Absolutely! We welcome contributions from the community. See the [Contributing](#contributing) section for more details.
## License
This project is licensed under the MIT License. See [LICENSE](LICENSE) for the full license text.

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}

BIN
bun.lockb

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64
docker-build.sh Executable file
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#!/bin/bash
# Enable error handling
set -euo pipefail
# Function to clean up on script exit
cleanup() {
echo "Cleaning up..."
docker builder prune -f --filter until=24h
docker image prune -f
}
trap cleanup EXIT
# Clean up Docker system
echo "Cleaning up Docker system..."
docker system prune -f --volumes
# Set build arguments for better performance
export DOCKER_BUILDKIT=1
export COMPOSE_DOCKER_CLI_BUILD=1
export BUILDKIT_PROGRESS=plain
# Calculate available memory and CPU
TOTAL_MEM=$(free -m | awk '/^Mem:/{print $2}')
BUILD_MEM=$(( TOTAL_MEM / 2 )) # Use half of available memory
CPU_COUNT=$(nproc)
CPU_QUOTA=$(( CPU_COUNT * 50000 )) # Allow 50% CPU usage per core
echo "Building with ${BUILD_MEM}MB memory limit and CPU quota ${CPU_QUOTA}"
# Remove any existing lockfile
rm -f bun.lockb
# Build with resource limits, optimizations, and timeout
echo "Building Docker image..."
DOCKER_BUILDKIT=1 docker build \
--memory="${BUILD_MEM}m" \
--memory-swap="${BUILD_MEM}m" \
--cpu-quota="${CPU_QUOTA}" \
--build-arg BUILDKIT_INLINE_CACHE=1 \
--build-arg DOCKER_BUILDKIT=1 \
--build-arg NODE_ENV=production \
--progress=plain \
--no-cache \
--compress \
-t homeassistant-mcp:latest \
-t homeassistant-mcp:$(date +%Y%m%d) \
.
# Check if build was successful
BUILD_EXIT_CODE=$?
if [ $BUILD_EXIT_CODE -eq 124 ]; then
echo "Build timed out after 15 minutes!"
exit 1
elif [ $BUILD_EXIT_CODE -ne 0 ]; then
echo "Build failed with exit code ${BUILD_EXIT_CODE}!"
exit 1
else
echo "Build completed successfully!"
# Show image size and layers
docker image ls homeassistant-mcp:latest --format "Image size: {{.Size}}"
echo "Layer count: $(docker history homeassistant-mcp:latest | wc -l)"
fi

58
docker/speech/Dockerfile Normal file
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# Use Python slim image as builder
FROM python:3.10-slim as builder
# Install build dependencies
RUN apt-get update && apt-get install -y \
git \
build-essential \
portaudio19-dev \
&& rm -rf /var/lib/apt/lists/*
# Create and activate virtual environment
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
# Install Python dependencies with specific versions and CPU-only variants
RUN pip install --no-cache-dir torch==2.1.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cpu
RUN pip install --no-cache-dir faster-whisper==0.10.0 openwakeword==0.4.0 pyaudio==0.2.14 sounddevice==0.4.6
# Create final image
FROM python:3.10-slim
# Copy virtual environment from builder
COPY --from=builder /opt/venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
# Install only runtime dependencies
RUN apt-get update && apt-get install -y \
portaudio19-dev \
python3-pyaudio \
&& rm -rf /var/lib/apt/lists/*
# Create necessary directories
RUN mkdir -p /models/wake_word /audio
# Set working directory
WORKDIR /app
# Copy the wake word detection script
COPY wake_word_detector.py .
# Set environment variables
ENV WHISPER_MODEL_PATH=/models \
WAKEWORD_MODEL_PATH=/models/wake_word \
PYTHONUNBUFFERED=1 \
ASR_MODEL=base.en \
ASR_MODEL_PATH=/models
# Add resource limits to Python
ENV PYTHONMALLOC=malloc \
MALLOC_TRIM_THRESHOLD_=100000 \
PYTHONDEVMODE=1
# Add healthcheck
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD ps aux | grep '[p]ython' || exit 1
# Run the wake word detection service with resource constraints
CMD ["python", "-X", "faulthandler", "wake_word_detector.py"]

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@@ -0,0 +1,173 @@
import os
import json
import queue
import threading
import numpy as np
import sounddevice as sd
from openwakeword import Model
from datetime import datetime
import wave
from faster_whisper import WhisperModel
# Configuration
SAMPLE_RATE = 16000
CHANNELS = 1
CHUNK_SIZE = 1024
BUFFER_DURATION = 30 # seconds to keep in buffer
DETECTION_THRESHOLD = 0.5
# Wake word models to use
WAKE_WORDS = ["hey_jarvis", "ok_google", "alexa"]
# Initialize the ASR model
asr_model = WhisperModel(
model_size_or_path=os.environ.get('ASR_MODEL', 'base.en'),
device="cpu",
compute_type="int8",
download_root=os.environ.get('ASR_MODEL_PATH', '/models')
)
class AudioProcessor:
def __init__(self):
# Initialize wake word detection model
self.wake_word_model = Model(
custom_model_paths=None, # Use default models
inference_framework="onnx" # Use ONNX for better performance
)
# Pre-load the wake word models
for wake_word in WAKE_WORDS:
self.wake_word_model.add_model(wake_word)
self.audio_buffer = queue.Queue()
self.recording = False
self.buffer = np.zeros(SAMPLE_RATE * BUFFER_DURATION)
self.buffer_lock = threading.Lock()
def audio_callback(self, indata, frames, time, status):
"""Callback for audio input"""
if status:
print(f"Audio callback status: {status}")
# Convert to mono if necessary
if CHANNELS > 1:
audio_data = np.mean(indata, axis=1)
else:
audio_data = indata.flatten()
# Update circular buffer
with self.buffer_lock:
self.buffer = np.roll(self.buffer, -len(audio_data))
self.buffer[-len(audio_data):] = audio_data
# Process for wake word detection
prediction = self.wake_word_model.predict(audio_data)
# Check if wake word detected
for wake_word in WAKE_WORDS:
if prediction[wake_word] > DETECTION_THRESHOLD:
print(f"Wake word detected: {wake_word} (confidence: {prediction[wake_word]:.2f})")
self.save_audio_segment(wake_word)
break
def save_audio_segment(self, wake_word):
"""Save the audio buffer when wake word is detected"""
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
filename = f"/audio/wake_word_{wake_word}_{timestamp}.wav"
# Save the audio buffer to a WAV file
with wave.open(filename, 'wb') as wf:
wf.setnchannels(CHANNELS)
wf.setsampwidth(2) # 16-bit audio
wf.setframerate(SAMPLE_RATE)
# Convert float32 to int16
audio_data = (self.buffer * 32767).astype(np.int16)
wf.writeframes(audio_data.tobytes())
print(f"Saved audio segment to {filename}")
# Transcribe the audio
try:
segments, info = asr_model.transcribe(
filename,
language="en",
beam_size=5,
temperature=0
)
# Format the transcription result
result = {
"text": " ".join(segment.text for segment in segments),
"segments": [
{
"text": segment.text,
"start": segment.start,
"end": segment.end,
"confidence": segment.confidence
}
for segment in segments
]
}
# Save metadata and transcription
metadata = {
"timestamp": timestamp,
"wake_word": wake_word,
"wake_word_confidence": float(prediction[wake_word]),
"sample_rate": SAMPLE_RATE,
"channels": CHANNELS,
"duration": BUFFER_DURATION,
"transcription": result
}
with open(f"{filename}.json", 'w') as f:
json.dump(metadata, f, indent=2)
print("\nTranscription result:")
print(f"Text: {result['text']}")
print("\nSegments:")
for segment in result["segments"]:
print(f"[{segment['start']:.2f}s - {segment['end']:.2f}s] ({segment['confidence']:.2%})")
print(f'"{segment["text"]}"')
except Exception as e:
print(f"Error during transcription: {e}")
metadata = {
"timestamp": timestamp,
"wake_word": wake_word,
"wake_word_confidence": float(prediction[wake_word]),
"sample_rate": SAMPLE_RATE,
"channels": CHANNELS,
"duration": BUFFER_DURATION,
"error": str(e)
}
with open(f"{filename}.json", 'w') as f:
json.dump(metadata, f, indent=2)
def start(self):
"""Start audio processing"""
try:
print("Initializing wake word detection...")
print(f"Loaded wake words: {', '.join(WAKE_WORDS)}")
with sd.InputStream(
channels=CHANNELS,
samplerate=SAMPLE_RATE,
blocksize=CHUNK_SIZE,
callback=self.audio_callback
):
print("\nWake word detection started. Listening...")
print("Press Ctrl+C to stop")
while True:
sd.sleep(1000) # Sleep for 1 second
except KeyboardInterrupt:
print("\nStopping wake word detection...")
except Exception as e:
print(f"Error in audio processing: {e}")
if __name__ == "__main__":
processor = AudioProcessor()
processor.start()

View File

@@ -1,36 +0,0 @@
# Contributing to Home Assistant MCP
We welcome contributions from the community! Your help and feedback are essential to improving the MCP Server. Please review the following guidelines before contributing.
## How to Contribute
1. **Fork the Repository**: Create your personal fork of the project on GitHub.
2. **Create a Feature Branch**: Use clear branch names, e.g., `feature/your-feature` or `bugfix/short-description`.
3. **Make Changes**: Develop your feature or fix bugs. Ensure your code follows the project's coding conventions.
4. **Write Tests**: Include tests for new features or bug fixes. We aim for high code coverage.
5. **Submit a Pull Request (PR)**: Once your changes are complete, submit a PR. Our team will review your request and provide feedback.
6. **Address Feedback**: Make any necessary revisions based on code review feedback.
## Code Style Guidelines
- Follow the project's established coding style.
- Use Bun tooling for linting and formatting:
- `bun run lint` for linting
- `bun run format` for formatting
## Documentation
- Update relevant documentation alongside your code changes.
- Ensure that tests pass and coverage remains high.
## Reporting Issues
- Use the GitHub Issues page to report bugs, request new features, or ask questions.
- Provide clear descriptions, replication steps, and any error logs.
## Community
- Join our real-time discussions on our chat platforms (Discord, Slack, etc.).
- Engage with other contributors to exchange ideas and solutions.
Thank you for helping improve the Home Assistant MCP project!

View File

@@ -1,122 +0,0 @@
# Getting Started with Home Assistant MCP
This guide will help you get started with the Home Assistant MCP (Master Control Program).
## Prerequisites
Before you begin, ensure you have:
1. Node.js (v16 or higher)
2. A running Home Assistant instance
3. A Home Assistant Long-Lived Access Token
## Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/homeassistant-mcp.git
cd homeassistant-mcp
```
2. Install dependencies:
```bash
bun install
```
3. Copy the example environment file:
```bash
cp .env.example .env
```
4. Edit the `.env` file with your configuration:
```env
# Server Configuration
PORT=3000
BUN_ENV=development
# Home Assistant Configuration
HASS_HOST=http://your-hass-instance:8123
HASS_TOKEN=your-long-lived-access-token
# Security Configuration
JWT_SECRET=your-secret-key
```
## Configuration
### Environment Variables
- `PORT`: The port number for the MCP server (default: 3000)
- `BUN_ENV`: The environment mode (development, production, test)
- `HASS_HOST`: Your Home Assistant instance URL
- `HASS_TOKEN`: Your Home Assistant Long-Lived Access Token
- `JWT_SECRET`: Secret key for JWT token generation
### Development Mode
For development, you can use:
```bash
bun run dev
```
This will start the server in development mode with hot reloading.
### Production Mode
For production, build and start the server:
```bash
bun run build
bun start
```
## First Steps
1. Check the server is running:
```bash
curl http://localhost:3000/api/health
```
2. List available devices:
```bash
curl -H "Authorization: Bearer your-token" http://localhost:3000/api/tools/devices
```
3. Subscribe to events:
```bash
curl -H "Authorization: Bearer your-token" http://localhost:3000/api/sse/subscribe?events=state_changed
```
## Next Steps
- Read the [API Documentation](./API.md) for available endpoints
- Learn about [Server-Sent Events](./SSE_API.md) for real-time updates
- Explore available [Tools](./tools/README.md) for device control
- Check the [Configuration Guide](./configuration/README.md) for advanced settings
## Troubleshooting
If you encounter issues:
1. Verify your Home Assistant instance is accessible
2. Check your environment variables are correctly set
3. Look for errors in the server logs
4. Consult the [Troubleshooting Guide](./troubleshooting.md)
## Development
For development and contributing:
1. Fork the repository
2. Create a feature branch
3. Follow the [Development Guide](./development/README.md)
4. Submit a pull request
## Support
Need help? Check out:
- [GitHub Issues](https://github.com/yourusername/homeassistant-mcp/issues)
- [Troubleshooting Guide](./troubleshooting.md)
- [FAQ](./troubleshooting.md#faq)

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@@ -0,0 +1,23 @@
source "https://rubygems.org"
gem "github-pages", group: :jekyll_plugins
gem "jekyll-theme-minimal"
gem "jekyll-relative-links"
gem "jekyll-seo-tag"
gem "jekyll-remote-theme"
gem "jekyll-github-metadata"
gem "faraday-retry"
# Windows and JRuby does not include zoneinfo files, so bundle the tzinfo-data gem
# and associated library.
platforms :mingw, :x64_mingw, :mswin, :jruby do
gem "tzinfo", ">= 1"
gem "tzinfo-data"
end
# Lock `http_parser.rb` gem to `v0.6.x` on JRuby builds since newer versions of the gem
# do not have a Java counterpart.
gem "http_parser.rb", "~> 0.6.0", :platforms => [:jruby]
# Add webrick for Ruby 3.0+
gem "webrick", "~> 1.7"

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@@ -1,60 +0,0 @@
# Home Assistant MCP Documentation
Welcome to the Home Assistant MCP (Master Control Program) documentation. This documentation provides comprehensive information about setting up, configuring, and using the Home Assistant MCP.
## Table of Contents
1. [Getting Started](./getting-started.md)
- Installation
- Configuration
- First Steps
2. [API Reference](./API.md)
- REST API Endpoints
- Authentication
- Error Handling
3. [SSE (Server-Sent Events)](./SSE_API.md)
- Event Subscriptions
- Real-time Updates
- Connection Management
4. [Tools](./tools/README.md)
- Device Control
- Automation Management
- Add-on Management
- Package Management
5. [Configuration](./configuration/README.md)
- Environment Variables
- Security Settings
- Performance Tuning
6. [Development](./development/README.md)
- Project Structure
- Contributing Guidelines
- Testing
7. [Troubleshooting](./troubleshooting.md)
- Common Issues
- Debugging
- FAQ
## Quick Links
- [GitHub Repository](https://github.com/yourusername/homeassistant-mcp)
- [Issue Tracker](https://github.com/yourusername/homeassistant-mcp/issues)
- [Change Log](./CHANGELOG.md)
- [Security Policy](./SECURITY.md)
## Support
If you need help or have questions:
1. Check the [Troubleshooting Guide](./troubleshooting.md)
2. Search existing [Issues](https://github.com/yourusername/homeassistant-mcp/issues)
3. Create a new issue if your problem isn't already reported
## License
This project is licensed under the MIT License - see the [LICENSE](../LICENSE) file for details.

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@@ -1,51 +0,0 @@
# Roadmap for MCP Server
The following roadmap outlines our planned enhancements and future directions for the Home Assistant MCP Server. This document is a living artifact and will be updated regularly as new features are planned and developed.
## Near-Term Goals
- **Advanced Automation Capabilities:**
- Integrate more sophisticated automation rules with conditional logic and multi-step execution.
- Introduce a visual automation builder to simplify rule creation.
- **Enhanced Security Features:**
- Implement multi-factor authentication for critical actions.
- Strengthen encryption methods and data handling practices.
- Expand monitoring and alerting for potential security breaches.
- **Performance Optimizations:**
- Refine the server's resource utilization to reduce latency.
- Optimize real-time data streaming via SSE for higher throughput.
- Introduce advanced caching mechanisms for frequently requested data.
## Mid-Term Goals
- **User Interface Improvements:**
- Develop an intuitive, web-based dashboard for easier device management and monitoring.
- Provide real-time analytics and performance metrics in the dashboard.
- **Expanded Integrations:**
- Support a broader range of smart home devices and brands.
- Integrate with additional home automation platforms and third-party services.
- **Developer Experience Enhancements:**
- Improve documentation and developer tooling.
- Streamline contribution guidelines and testing setups.
## Long-Term Vision
- **Ecosystem Expansion:**
- Build a modular plugin system that allows community-driven extensions and integrations.
- Enable seamless integration with future technologies in the smart home and AI domains.
- **Scalability and Resilience:**
- Architect the system to support large-scale deployments across multiple instances.
- Incorporate advanced load balancing and failover mechanisms.
## How to Follow the Roadmap
- **Community Involvement:** We encourage community feedback and contributions to help refine and prioritize our roadmap.
- **Regular Updates:** This document is regularly updated with new goals, milestones, and completed tasks.
- **Transparency:** Check the project's GitHub repository and issues for ongoing discussions and updates related to roadmap items.
*This roadmap is intended to serve as a guide and may evolve based on community needs, technological advancements, and strategic priorities.*

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@@ -0,0 +1,78 @@
title: Model Context Protocol (MCP)
description: A bridge between Home Assistant and Language Learning Models
theme: jekyll-theme-minimal
markdown: kramdown
# Repository settings
repository: jango-blockchained/advanced-homeassistant-mcp
github: [metadata]
# Add base URL and URL settings
baseurl: "/advanced-homeassistant-mcp" # the subpath of your site
url: "https://jango-blockchained.github.io" # the base hostname & protocol
# Theme settings
logo: /assets/img/logo.png # path to logo (create this if you want a logo)
show_downloads: true # show download buttons for your repo
plugins:
- jekyll-relative-links
- jekyll-seo-tag
- jekyll-remote-theme
- jekyll-github-metadata
# Enable relative links
relative_links:
enabled: true
collections: true
# Navigation structure
header_pages:
- index.md
- getting-started.md
- api.md
- usage.md
- tools/tools.md
- development/development.md
- troubleshooting.md
- contributing.md
- roadmap.md
# Collections
collections:
tools:
output: true
permalink: /:collection/:name
development:
output: true
permalink: /:collection/:name
# Default layouts
defaults:
- scope:
path: ""
type: "pages"
values:
layout: "default"
- scope:
path: "tools"
type: "tools"
values:
layout: "default"
- scope:
path: "development"
type: "development"
values:
layout: "default"
# Exclude files from processing
exclude:
- Gemfile
- Gemfile.lock
- node_modules
- vendor
# Sass settings
sass:
style: compressed
sass_dir: _sass

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@@ -0,0 +1,52 @@
<!DOCTYPE html>
<html lang="{{ site.lang | default: " en-US" }}">
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
{% seo %}
<link rel="stylesheet" href="{{ " /assets/css/style.css?v=" | append: site.github.build_revision | relative_url }}">
</head>
<body>
<div class="wrapper">
<header>
<h1><a href="{{ " /" | absolute_url }}">{{ site.title | default: site.github.repository_name }}</a></h1>
{% if site.logo %}
<img src="{{site.logo | relative_url}}" alt="Logo" />
{% endif %}
<p>{{ site.description | default: site.github.project_tagline }}</p>
<p class="view"><a href="{{ site.github.repository_url }}">View the Project on GitHub <small>{{
site.github.repository_nwo }}</small></a></p>
<nav class="main-nav">
<h3>Documentation</h3>
<ul>
<li><a href="{{ '/getting-started' | relative_url }}">Getting Started</a></li>
<li><a href="{{ '/api' | relative_url }}">API Reference</a></li>
<li><a href="{{ '/sse-api' | relative_url }}">SSE API</a></li>
<li><a href="{{ '/architecture' | relative_url }}">Architecture</a></li>
<li><a href="{{ '/contributing' | relative_url }}">Contributing</a></li>
<li><a href="{{ '/troubleshooting' | relative_url }}">Troubleshooting</a></li>
</ul>
</nav>
</header>
<section>
{{ content }}
</section>
<footer>
{% if site.github.is_project_page %}
<p>This project is maintained by <a href="{{ site.github.owner_url }}">{{ site.github.owner_name }}</a></p>
{% endif %}
<p><small>Hosted on GitHub Pages &mdash; Theme by <a
href="https://github.com/orderedlist">orderedlist</a></small></p>
</footer>
</div>
<script src="{{ " /assets/js/scale.fix.js" | relative_url }}"></script>
</body>
</html>

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@@ -1,4 +1,290 @@
# API Reference # 🚀 Home Assistant MCP API Documentation
![API Version](https://img.shields.io/badge/API-v2.1-blueviolet) ![Rate Limit](https://img.shields.io/badge/Rate%20Limit-100%2Fmin-brightgreen)
## 🌟 Quick Start
```bash
# Get API schema with caching
curl -X GET http://localhost:3000/mcp \
-H "Cache-Control: max-age=3600" # Cache for 1 hour
```
## 🔌 Core Functions ⚙️
### State Management (`/api/state`)
```http
GET /api/state?cache=true # Enable client-side caching
POST /api/state
```
**Example Request:**
```json
{
"context": "living_room",
"state": {
"lights": "on",
"temperature": 22
},
"_cache": { // Optional caching config
"ttl": 300, // 5 minutes
"tags": ["lights", "climate"]
}
}
```
## ⚡ Action Endpoints
### Execute Action with Cache Validation
```http
POST /api/action
If-None-Match: "etag_value" // Prevent duplicate actions
```
**Batch Processing:**
```json
{
"actions": [
{ "action": "🌞 Morning Routine", "params": { "brightness": 80 } },
{ "action": "❄️ AC Control", "params": { "temp": 21 } }
],
"_parallel": true // Execute actions concurrently
}
```
## 🔍 Query Functions
### Available Actions with ETag
```http
GET /api/actions
ETag: "a1b2c3d4" // Client-side cache validation
```
**Response Headers:**
```
Cache-Control: public, max-age=86400 // 24-hour cache
ETag: "a1b2c3d4"
```
## 🌐 WebSocket Events
```javascript
const ws = new WebSocket('wss://ha-mcp/ws');
ws.onmessage = ({ data }) => {
const event = JSON.parse(data);
if(event.type === 'STATE_UPDATE') {
updateUI(event.payload); // 🎨 Real-time UI sync
}
};
```
## 🗃️ Caching Strategies
### Client-Side Caching
```http
GET /api/devices
Cache-Control: max-age=300, stale-while-revalidate=60
```
### Server-Side Cache-Control
```typescript
// Example middleware configuration
app.use(
cacheMiddleware({
ttl: 60 * 5, // 5 minutes
paths: ['/api/devices', '/mcp'],
vary: ['Authorization'] // User-specific caching
})
);
```
## ❌ Error Handling
**429 Too Many Requests:**
```json
{
"error": {
"code": "RATE_LIMITED",
"message": "Slow down! 🐢",
"retry_after": 30,
"docs": "https://ha-mcp/docs/rate-limits"
}
}
```
## 🚦 Rate Limiting Tiers
| Tier | Requests/min | Features |
|---------------|--------------|------------------------|
| Guest | 10 | Basic read-only |
| User | 100 | Full access |
| Power User | 500 | Priority queue |
| Integration | 1000 | Bulk operations |
## 🛠️ Example Usage
### Smart Cache Refresh
```javascript
async function getDevices() {
const response = await fetch('/api/devices', {
headers: {
'If-None-Match': localStorage.getItem('devicesETag')
}
});
if(response.status === 304) { // Not Modified
return JSON.parse(localStorage.devicesCache);
}
const data = await response.json();
localStorage.setItem('devicesETag', response.headers.get('ETag'));
localStorage.setItem('devicesCache', JSON.stringify(data));
return data;
}
```
## 🔒 Security Middleware (Enhanced)
### Cache-Aware Rate Limiting
```typescript
app.use(
rateLimit({
windowMs: 15 * 60 * 1000, // 15 minutes
max: 100, // Limit each IP to 100 requests per window
cache: new RedisStore(), // Distributed cache
keyGenerator: (req) => {
return `${req.ip}-${req.headers.authorization}`;
}
})
);
```
### Security Headers
```http
Content-Security-Policy: default-src 'self';
Strict-Transport-Security: max-age=31536000;
X-Content-Type-Options: nosniff;
Cache-Control: public, max-age=600;
ETag: "abc123"
```
## 📘 Best Practices
1. **Cache Wisely:** Use `ETag` and `Cache-Control` headers for state data
2. **Batch Operations:** Combine requests using `/api/actions/batch`
3. **WebSocket First:** Prefer real-time updates over polling
4. **Error Recovery:** Implement exponential backoff with jitter
5. **Cache Invalidation:** Use tags for bulk invalidation
```mermaid
graph LR
A[Client] -->|Cached Request| B{CDN}
B -->|Cache Hit| C[Return 304]
B -->|Cache Miss| D[Origin Server]
D -->|Response| B
B -->|Response| A
```
> Pro Tip: Use `curl -I` to inspect cache headers! 🔍
## Device Control
### Common Entity Controls
```json
{
"tool": "control",
"command": "turn_on", // Options: "turn_on", "turn_off", "toggle"
"entity_id": "light.living_room"
}
```
### Light Control
```json
{
"tool": "control",
"command": "turn_on",
"entity_id": "light.living_room",
"brightness": 128,
"color_temp": 4000,
"rgb_color": [255, 0, 0]
}
```
## Add-on Management
### List Available Add-ons
```json
{
"tool": "addon",
"action": "list"
}
```
### Install Add-on
```json
{
"tool": "addon",
"action": "install",
"slug": "core_configurator",
"version": "5.6.0"
}
```
### Manage Add-on State
```json
{
"tool": "addon",
"action": "start", // Options: "start", "stop", "restart"
"slug": "core_configurator"
}
```
## Package Management
### List HACS Packages
```json
{
"tool": "package",
"action": "list",
"category": "integration" // Options: "integration", "plugin", "theme", "python_script", "appdaemon", "netdaemon"
}
```
### Install Package
```json
{
"tool": "package",
"action": "install",
"category": "integration",
"repository": "hacs/integration",
"version": "1.32.0"
}
```
## Automation Management
For automation management details and endpoints, please refer to the [Tools Documentation](tools/tools.md).
## Security Considerations
- Validate and sanitize all user inputs.
- Enforce rate limiting to prevent abuse.
- Apply proper security headers.
- Gracefully handle errors based on the environment.
## Troubleshooting
If you experience issues with the API:
- Verify the endpoint and request payload.
- Check authentication tokens and required headers.
- Consult the [Troubleshooting Guide](troubleshooting.md) for further guidance.
## MCP Schema Endpoint ## MCP Schema Endpoint
@@ -43,119 +329,6 @@ Example response:
Note: The `/mcp` endpoint is publicly accessible and does not require authentication, as it only provides schema information. Note: The `/mcp` endpoint is publicly accessible and does not require authentication, as it only provides schema information.
## Device Control
### Common Entity Controls
```json
{
"tool": "control",
"command": "turn_on", // or "turn_off", "toggle"
"entity_id": "light.living_room"
}
```
### Light Control
```json
{
"tool": "control",
"command": "turn_on",
"entity_id": "light.living_room",
"brightness": 128,
"color_temp": 4000,
"rgb_color": [255, 0, 0]
}
```
## Add-on Management
### List Available Add-ons
```json
{
"tool": "addon",
"action": "list"
}
```
### Install Add-on
```json
{
"tool": "addon",
"action": "install",
"slug": "core_configurator",
"version": "5.6.0"
}
```
### Manage Add-on State
```json
{
"tool": "addon",
"action": "start", // or "stop", "restart"
"slug": "core_configurator"
}
```
## Package Management
### List HACS Packages
```json
{
"tool": "package",
"action": "list",
"category": "integration" // or "plugin", "theme", "python_script", "appdaemon", "netdaemon"
}
```
### Install Package
```json
{
"tool": "package",
"action": "install",
"category": "integration",
"repository": "hacs/integration",
"version": "1.32.0"
}
```
## Automation Management
### Create Automation
```json
{
"tool": "automation_config",
"action": "create",
"config": {
"alias": "Motion Light",
"description": "Turn on light when motion detected",
"mode": "single",
"trigger": [
{
"platform": "state",
"entity_id": "binary_sensor.motion",
"to": "on"
}
],
"action": [
{
"service": "light.turn_on",
"target": {
"entity_id": "light.living_room"
}
}
]
}
}
```
### Duplicate Automation
```json
{
"tool": "automation_config",
"action": "duplicate",
"automation_id": "automation.motion_light"
}
```
## Core Functions ## Core Functions
### State Management ### State Management

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@@ -43,3 +43,26 @@ The MCP Server is designed as a high-performance, secure, and scalable bridge be
The architecture of the MCP Server prioritizes performance, scalability, and security. By leveraging Bun's high-performance runtime, employing real-time communication through SSE, and maintaining a modular, secure design, the MCP Server provides a robust platform for integrating Home Assistant with modern LLM functionalities. The architecture of the MCP Server prioritizes performance, scalability, and security. By leveraging Bun's high-performance runtime, employing real-time communication through SSE, and maintaining a modular, secure design, the MCP Server provides a robust platform for integrating Home Assistant with modern LLM functionalities.
*This document is a living document and will be updated as the system evolves.* *This document is a living document and will be updated as the system evolves.*
## Key Components
- **API Module:** Handles RESTful endpoints, authentication, and error management.
- **SSE Module:** Provides real-time updates through Server-Sent Events.
- **Tools Module:** Offers various utilities for device control, automation, and data processing.
- **Security Module:** Implements token-based authentication and secure communications.
- **Integration Module:** Bridges data between Home Assistant and external systems.
## Data Flow
1. Requests enter via the API endpoints.
2. Security middleware validates and processes requests.
3. Core modules process data and execute the necessary business logic.
4. Real-time notifications are managed by the SSE module.
## Future Enhancements
- Expand modularity with potential microservices.
- Enhance security with multi-factor authentication.
- Improve scalability through distributed architectures.
*Further diagrams and detailed breakdowns will be added in future updates.*

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@@ -0,0 +1,54 @@
@import "{{ site.theme }}";
// Custom styles
.main-nav {
margin-top: 20px;
ul {
list-style: none;
padding: 0;
margin: 0;
}
li {
margin-bottom: 8px;
}
a {
color: #267CB9;
text-decoration: none;
&:hover {
text-decoration: underline;
}
}
}
h1,
h2,
h3 {
color: #333;
}
code {
background-color: #f8f8f8;
border: 1px solid #ddd;
border-radius: 3px;
padding: 2px 5px;
}
pre {
background-color: #f8f8f8;
border: 1px solid #ddd;
border-radius: 3px;
padding: 10px;
overflow-x: auto;
}
.wrapper {
max-width: 960px;
}
section {
max-width: 700px;
}

36
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@@ -0,0 +1,36 @@
# Contributing to Home Assistant MCP
We welcome community contributions to improve the MCP Server. Please review the following guidelines before contributing.
## How to Contribute
1. **Fork the Repository:** Create your personal fork on GitHub.
2. **Create a Feature Branch:** Use a clear name (e.g., `feature/your-feature` or `bugfix/short-description`).
3. **Make Changes:** Develop your feature or fix bugs while following our coding standards.
4. **Write Tests:** Include tests for new features or bug fixes.
5. **Submit a Pull Request:** Once your changes are complete, submit a PR for review.
6. **Address Feedback:** Revise your PR based on maintainers' suggestions.
## Code Style Guidelines
- Follow the project's established coding style.
- Use Bun tooling for linting and formatting:
- `bun run lint`
- `bun run format`
## Documentation
- Update documentation alongside your code changes.
- Ensure tests pass and coverage remains high.
## Reporting Issues
- Use the GitHub Issues page to report bugs, request new features, or ask questions.
- Provide clear descriptions, replication steps, and any error logs.
## Community
- Join our real-time discussions on our chat platforms (Discord, Slack, etc.).
- Engage with other contributors to exchange ideas and solutions.
Thank you for helping improve the Home Assistant MCP project!

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@@ -0,0 +1,30 @@
# Getting Started
Begin your journey with the Home Assistant MCP Server by following these steps:
- **API Documentation:** Read the [API Documentation](api.md) for available endpoints.
- **Real-Time Updates:** Learn about [Server-Sent Events](sse-api.md) for live communication.
- **Tools:** Explore available [Tools](tools/tools.md) for device control and automation.
- **Configuration:** Refer to the [Configuration Guide](configuration.md) for setup and advanced settings.
## Troubleshooting
If you encounter any issues:
1. Verify that your Home Assistant instance is accessible.
2. Ensure that all required environment variables are properly set.
3. Consult the [Troubleshooting Guide](troubleshooting.md) for additional solutions.
## Development
For contributors:
1. Fork the repository.
2. Create a feature branch.
3. Follow the [Development Guide](development/development.md) for contribution guidelines.
4. Submit a pull request with your enhancements.
## Support
Need help?
- Visit our [GitHub Issues](https://github.com/jango-blockchained/homeassistant-mcp/issues).
- Review the [Troubleshooting Guide](troubleshooting.md).
- Check the [FAQ](troubleshooting.md#faq) for common questions.

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@@ -0,0 +1,5 @@
# Configuration
## Basic Configuration
## Advanced Settings

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@@ -0,0 +1,124 @@
# Installation Guide
## Prerequisites
### System Requirements
- **Operating System:** Linux, macOS, or Windows (Docker recommended)
- **Runtime:** Bun v1.0.26 or higher
- **Home Assistant:** v2023.11 or higher
- **Minimum Hardware:**
- 2 CPU cores
- 2GB RAM
- 10GB free disk space
### Software Dependencies
- Bun runtime
- Docker (optional, recommended for deployment)
- Git
- Node.js (for some development tasks)
## Installation Methods
### 1. Basic Setup
#### Install Bun
```bash
curl -fsSL https://bun.sh/install | bash
```
#### Clone Repository
```bash
git clone https://github.com/jango-blockchained/homeassistant-mcp.git
cd homeassistant-mcp
```
#### Install Dependencies
```bash
bun install
```
#### Configure Environment
1. Copy environment template
```bash
cp .env.example .env
```
2. Edit `.env` file with your Home Assistant configuration
- Set `HASS_HOST`
- Configure authentication tokens
- Adjust other settings as needed
#### Build and Start
```bash
bun run build
bun start
```
### 2. Docker Setup (Recommended)
#### Prerequisites
- Docker
- Docker Compose
#### Deployment Steps
```bash
# Clone repository
git clone https://github.com/jango-blockchained/homeassistant-mcp.git
cd homeassistant-mcp
# Configure environment
cp .env.example .env
# Edit .env file with your settings
# Deploy with Docker Compose
docker compose up -d
```
### 3. Home Assistant Add-on (Coming Soon)
We're working on a direct Home Assistant add-on for even easier installation.
## Verification
### Check Installation
- Web Interface: [http://localhost:3000](http://localhost:3000)
- Logs: `docker compose logs` or check `logs/` directory
### Troubleshooting
- Ensure all environment variables are correctly set
- Check network connectivity to Home Assistant
- Verify authentication tokens
## Updating
### Basic Setup
```bash
git pull
bun install
bun run build
bun start
```
### Docker
```bash
git pull
docker compose up -d --build
```
## Uninstallation
### Basic Setup
```bash
cd homeassistant-mcp
bun stop # Stop the application
rm -rf node_modules dist
```
### Docker
```bash
docker compose down
docker rmi homeassistant-mcp # Remove image
```
## Next Steps
- [Configuration Guide](configuration.md)
- [Usage Instructions](../usage.md)
- [Troubleshooting](../troubleshooting.md)

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@@ -0,0 +1,110 @@
---
layout: default
title: Home
nav_order: 1
---
# 📚 Home Assistant MCP Documentation
Welcome to the documentation for the Home Assistant MCP (Model Context Protocol) Server.
## 📑 Documentation Index
- [Getting Started Guide](getting-started.md)
- [API Documentation](api.md)
- [Troubleshooting](troubleshooting.md)
- [Contributing Guide](contributing.md)
For project overview, installation, and general information, please see our [main README](../README.md).
## 🔗 Quick Links
- [GitHub Repository](https://github.com/jango-blockchained/homeassistant-mcp)
- [Issue Tracker](https://github.com/jango-blockchained/homeassistant-mcp/issues)
- [GitHub Discussions](https://github.com/jango-blockchained/homeassistant-mcp/discussions)
## 📝 License
This project is licensed under the MIT License. See [LICENSE](../LICENSE) for details.
# Model Context Protocol (MCP) Server
## Overview
The Model Context Protocol (MCP) Server is a cutting-edge bridge between Home Assistant and Language Learning Models (LLMs), designed to revolutionize smart home automation and control. This documentation provides comprehensive information about setting up, configuring, and using the Home Assistant MCP.
## Key Features
### 🏠 Smart Home Integration
- Natural language control of smart devices
- Real-time device state monitoring
- Advanced automation capabilities
### 🤖 LLM Powered Interactions
- Intuitive voice and text-based commands
- Context-aware device management
- Intelligent automation suggestions
### 🔒 Security & Performance
- Token-based authentication
- High-performance Bun runtime
- Secure, real-time communication protocols
## Documentation
### Core Documentation
1. [Getting Started](getting-started.md)
- Installation and basic setup
- Configuration
- First Steps
2. [API Reference](api.md)
- REST API Endpoints
- Authentication
- Error Handling
3. [SSE API](sse-api.md)
- Event Subscriptions
- Real-time Updates
- Connection Management
### Advanced Topics
4. [Architecture](architecture.md)
- System Design
- Components
- Data Flow
5. [Configuration](getting-started.md#configuration)
- Environment Variables
- Security Settings
- Performance Tuning
6. [Development Guide](development/development.md)
- Project Structure
- Contributing Guidelines
- Testing
7. [Troubleshooting](troubleshooting.md)
- Common Issues
- Debugging
- FAQ
## Quick Links
- [GitHub Repository](https://github.com/jango-blockchained/homeassistant-mcp)
- [Issue Tracker](https://github.com/jango-blockchained/homeassistant-mcp/issues)
- [Contributing Guide](contributing.md)
- [Roadmap](roadmap.md)
## Community and Support
If you need help or have questions:
1. Check the [Troubleshooting Guide](troubleshooting.md)
2. Search existing [Issues](https://github.com/jango-blockchained/homeassistant-mcp/issues)
3. Join our [GitHub Discussions](https://github.com/jango-blockchained/homeassistant-mcp/discussions)
4. Create a new issue if your problem isn't already reported
## License
This project is licensed under the MIT License. See [LICENSE](https://github.com/jango-blockchained/homeassistant-mcp/blob/main/LICENSE) for details.

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@@ -0,0 +1,51 @@
# Roadmap for MCP Server
The following roadmap outlines our planned enhancements and future directions for the Home Assistant MCP Server. This document is a living guide that will be updated as new features are planned and developed.
## Near-Term Goals
- **Advanced Automation Capabilities:**
- Integrate sophisticated automation rules with conditional logic and multi-step execution.
- Introduce a visual automation builder for simplified rule creation.
- **Enhanced Security Features:**
- Implement multi-factor authentication for critical actions.
- Strengthen encryption methods and data handling practices.
- Expand monitoring and alerting for potential security breaches.
- **Performance Optimizations:**
- Refine resource utilization to reduce latency.
- Optimize real-time data streaming via SSE.
- Introduce advanced caching mechanisms for frequently requested data.
## Mid-Term Goals
- **User Interface Improvements:**
- Develop an intuitive web-based dashboard for device management and monitoring.
- Provide real-time analytics and performance metrics.
- **Expanded Integrations:**
- Support a broader range of smart home devices and brands.
- Integrate with additional home automation platforms and third-party services.
- **Developer Experience Enhancements:**
- Improve documentation and developer tooling.
- Streamline contribution guidelines and testing setups.
## Long-Term Vision
- **Ecosystem Expansion:**
- Build a modular plugin system for community-driven extensions and integrations.
- Enable seamless integration with future technologies in smart home and AI domains.
- **Scalability and Resilience:**
- Architect the system to support large-scale deployments.
- Incorporate advanced load balancing and failover mechanisms.
## How to Follow the Roadmap
- **Community Involvement:** We welcome and encourage feedback.
- **Regular Updates:** This document is updated regularly with new goals and milestones.
- **Transparency:** Check our GitHub repository and issue tracker for ongoing discussions.
*This roadmap is intended as a guide and may evolve based on community needs, technological advancements, and strategic priorities.*

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@@ -7,49 +7,49 @@
bun test # Run all tests bun test # Run all tests
bun test --watch # Run tests in watch mode bun test --watch # Run tests in watch mode
bun test --coverage # Run tests with coverage bun test --coverage # Run tests with coverage
bun test path/to/test.ts # Run specific test file bun test path/to/test.ts # Run a specific test file
# Additional Options # Additional Options
DEBUG=true bun test # Run with debug output DEBUG=true bun test # Run with debug output
bun test --pattern "auth" # Run tests matching pattern bun test --pattern "auth" # Run tests matching a pattern
bun test --timeout 60000 # Run with custom timeout bun test --timeout 60000 # Run with a custom timeout
``` ```
## Overview ## Overview
This document describes the testing setup and practices used in the Home Assistant MCP project. The project uses Bun's test runner for unit and integration testing, with a comprehensive test suite covering security, SSE (Server-Sent Events), middleware, and other core functionalities. This document describes the testing setup and practices used in the Home Assistant MCP project. We use Bun's test runner for both unit and integration testing, ensuring comprehensive coverage across modules.
## Test Structure ## Test Structure
Tests are organized in two main locations: Tests are organized in two main locations:
1. **Root Level Integration Tests** (`/__tests__/`): 1. **Root Level Integration Tests** (`/__tests__/`):
```
__tests__/ ```
├── ai/ # AI/ML component tests __tests__/
├── api/ # API integration tests ├── ai/ # AI/ML component tests
├── context/ # Context management tests ├── api/ # API integration tests
├── hass/ # Home Assistant integration tests ├── context/ # Context management tests
├── schemas/ # Schema validation tests ├── hass/ # Home Assistant integration tests
├── security/ # Security integration tests ├── schemas/ # Schema validation tests
├── tools/ # Tools and utilities tests ├── security/ # Security integration tests
├── websocket/ # WebSocket integration tests ├── tools/ # Tools and utilities tests
├── helpers.test.ts # Helper function tests ├── websocket/ # WebSocket integration tests
├── index.test.ts # Main application tests ├── helpers.test.ts # Helper function tests
└── server.test.ts # Server integration tests ├── index.test.ts # Main application tests
``` └── server.test.ts # Server integration tests
```
2. **Component Level Unit Tests** (`src/**/`): 2. **Component Level Unit Tests** (`src/**/`):
```
src/
├── __tests__/ # Global test setup and utilities
│ └── setup.ts # Global test configuration
├── component/
│ ├── __tests__/ # Component-specific unit tests
│ └── component.ts
```
The root level `__tests__` directory contains integration and end-to-end tests that verify the interaction between different components of the system, while the component-level tests focus on unit testing individual modules. ```
src/
├── __tests__/ # Global test setup and utilities
│ └── setup.ts # Global test configuration
├── component/
│ ├── __tests__/ # Component-specific unit tests
│ └── component.ts
```
## Test Configuration ## Test Configuration
@@ -88,26 +88,21 @@ bun run format
### Global Configuration ### Global Configuration
The project uses a global test setup file (`src/__tests__/setup.ts`) that provides: A global test setup file (`src/__tests__/setup.ts`) provides:
- Environment configuration - Environment configuration
- Mock utilities - Mock utilities
- Test helper functions - Test helper functions
- Global test lifecycle hooks - Global lifecycle hooks
### Test Environment ### Test Environment
Tests run with the following configuration: - Environment variables are loaded from `.env.test`.
- Console output is minimized unless `DEBUG=true`.
- Environment variables are loaded from `.env.test` - JWT secrets and tokens are preconfigured for testing.
- Console output is suppressed during tests (unless DEBUG=true) - Rate limiting and security features are initialized appropriately.
- JWT secrets and tokens are automatically configured for testing
- Rate limiting and other security features are properly initialized
## Running Tests ## Running Tests
To run the test suite:
```bash ```bash
# Basic test run # Basic test run
bun test bun test
@@ -115,7 +110,7 @@ bun test
# Run tests with coverage # Run tests with coverage
bun test --coverage bun test --coverage
# Run specific test file # Run a specific test file
bun test path/to/test.test.ts bun test path/to/test.test.ts
# Run tests in watch mode # Run tests in watch mode
@@ -131,82 +126,61 @@ bun test --timeout 60000
bun test --pattern "auth" bun test --pattern "auth"
``` ```
### Test Environment Setup ## Advanced Debugging
1. **Prerequisites**: ### Using Node Inspector
- Bun >= 1.0.0
- Node.js dependencies (see package.json)
2. **Environment Files**: ```bash
- `.env.test` - Test environment variables # Start tests with inspector
- `.env.development` - Development environment variables bun test --inspect
3. **Test Data**: # Start tests with inspector and break on first line
- Mock responses in `__tests__/mock-responses/` bun test --inspect-brk
- Test fixtures in `__tests__/fixtures/` ```
### Continuous Integration ### Using VS Code
The project uses GitHub Actions for CI/CD. Tests are automatically run on: Create a launch configuration in `.vscode/launch.json`:
- Pull requests
- Pushes to main branch ```json
- Release tags {
"version": "0.2.0",
"configurations": [
{
"type": "bun",
"request": "launch",
"name": "Debug Tests",
"program": "${workspaceFolder}/node_modules/bun/bin/bun",
"args": ["test", "${file}"],
"cwd": "${workspaceFolder}",
"env": { "DEBUG": "true" }
}
]
}
```
### Test Isolation
To run a single test in isolation:
```typescript
describe.only("specific test suite", () => {
it.only("specific test case", () => {
// Only this test will run
});
});
```
## Writing Tests ## Writing Tests
### Test File Naming ### Test File Naming
- Test files should be placed in a `__tests__` directory adjacent to the code being tested - Place test files in a `__tests__` directory adjacent to the code being tested.
- Test files should be named `*.test.ts` - Name files with the pattern `*.test.ts`.
- Test files should mirror the structure of the source code - Mirror the structure of the source code in your test organization.
### Test Structure ### Example Test Structure
```typescript
import { describe, expect, it, beforeEach } from "bun:test";
describe("Module Name", () => {
beforeEach(() => {
// Setup for each test
});
describe("Feature/Function Name", () => {
it("should do something specific", () => {
// Test implementation
});
});
});
```
### Test Utilities
The project provides several test utilities:
```typescript
import { testUtils } from "../__tests__/setup";
// Available utilities:
- mockWebSocket() // Mock WebSocket for SSE tests
- mockResponse() // Mock HTTP response for API tests
- mockRequest() // Mock HTTP request for API tests
- createTestClient() // Create test SSE client
- createTestEvent() // Create test event
- createTestEntity() // Create test Home Assistant entity
- wait() // Helper to wait for async operations
```
## Testing Patterns
### Security Testing
Security tests cover:
- Token validation and encryption
- Rate limiting
- Request validation
- Input sanitization
- Error handling
Example:
```typescript ```typescript
describe("Security Features", () => { describe("Security Features", () => {
it("should validate tokens correctly", () => { it("should validate tokens correctly", () => {
@@ -218,83 +192,17 @@ describe("Security Features", () => {
}); });
``` ```
### SSE Testing ## Coverage
SSE tests cover: The project maintains strict coverage:
- Client authentication - Overall coverage: at least 80%
- Message broadcasting - Critical paths: 90%+
- Rate limiting - New features: ≥85% coverage
- Subscription management
- Client cleanup
Example: Generate a coverage report with:
```typescript
describe("SSE Features", () => {
it("should authenticate valid clients", () => {
const client = createTestClient("test-client");
const result = sseManager.addClient(client, validToken);
expect(result?.authenticated).toBe(true);
});
});
```
### Middleware Testing ```bash
bun test --coverage
Middleware tests cover:
- Request validation
- Input sanitization
- Error handling
- Response formatting
Example:
```typescript
describe("Middleware", () => {
it("should sanitize HTML in request body", () => {
const req = mockRequest({
body: { text: '<script>alert("xss")</script>' }
});
sanitizeInput(req, res, next);
expect(req.body.text).toBe("");
});
});
```
### Integration Testing
Integration tests in the root `__tests__` directory cover:
- **AI/ML Components**: Testing machine learning model integrations and predictions
- **API Integration**: End-to-end API route testing
- **Context Management**: Testing context persistence and state management
- **Home Assistant Integration**: Testing communication with Home Assistant
- **Schema Validation**: Testing data validation across the application
- **Security Integration**: Testing security features in a full system context
- **WebSocket Communication**: Testing real-time communication
- **Server Integration**: Testing the complete server setup and configuration
Example integration test:
```typescript
describe("API Integration", () => {
it("should handle a complete authentication flow", async () => {
// Setup test client
const client = await createTestClient();
// Test registration
const regResponse = await client.register(testUser);
expect(regResponse.status).toBe(201);
// Test authentication
const authResponse = await client.authenticate(testCredentials);
expect(authResponse.status).toBe(200);
expect(authResponse.body.token).toBeDefined();
// Test protected endpoint access
const protectedResponse = await client.get("/api/protected", {
headers: { Authorization: `Bearer ${authResponse.body.token}` }
});
expect(protectedResponse.status).toBe(200);
});
});
``` ```
## Security Middleware Testing ## Security Middleware Testing

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@@ -1,144 +1,135 @@
# Troubleshooting Guide # Troubleshooting Guide
This guide helps you diagnose and fix common issues with the Home Assistant MCP. This guide provides solutions to common issues encountered with the Home Assistant MCP Server.
## Common Issues ## Common Issues
### Connection Issues - **Server Not Starting:**
- Verify that all required environment variables are correctly set.
- Check for port conflicts or missing dependencies.
- Review the server logs for error details.
#### Cannot Connect to Home Assistant - **Connection Problems:**
- Ensure your Home Assistant instance is reachable.
- Confirm that the authentication token is valid.
- Check network configurations and firewalls.
## Tool Issues
### Tool Not Found
**Symptoms:** **Symptoms:**
- Connection timeout errors - "Tool not found" errors or 404 responses.
- "Failed to connect to Home Assistant" messages
- 401 Unauthorized errors
**Solutions:** **Solutions:**
1. Verify Home Assistant is running - Double-check the tool name spelling.
2. Check HASS_HOST environment variable - Verify that the tool is correctly registered.
3. Validate HASS_TOKEN is correct - Review tool imports and documentation.
4. Ensure network connectivity
5. Check firewall settings
#### SSE Connection Drops ### Tool Execution Failures
**Symptoms:** **Symptoms:**
- Frequent disconnections - Execution errors or timeouts.
- Missing events
- Connection reset errors
**Solutions:** **Solutions:**
1. Check network stability - Validate input parameters.
2. Increase connection timeout - Check and review error logs.
3. Implement reconnection logic - Debug the tool implementation.
4. Monitor server resources - Ensure proper permissions in Home Assistant.
### Authentication Issues ## Debugging Steps
#### Invalid Token
**Symptoms:**
- 401 Unauthorized responses
- "Invalid token" messages
- Authentication failures
**Solutions:**
1. Generate new Long-Lived Access Token
2. Check token expiration
3. Verify token format
4. Update environment variables
#### Rate Limiting
**Symptoms:**
- 429 Too Many Requests
- "Rate limit exceeded" messages
**Solutions:**
1. Implement request throttling
2. Adjust rate limit settings
3. Cache responses
4. Optimize request patterns
### Tool Issues
#### Tool Not Found
**Symptoms:**
- "Tool not found" errors
- 404 Not Found responses
**Solutions:**
1. Check tool name spelling
2. Verify tool registration
3. Update tool imports
4. Check tool availability
#### Tool Execution Fails
**Symptoms:**
- Tool execution errors
- Unexpected responses
- Timeout issues
**Solutions:**
1. Validate input parameters
2. Check error logs
3. Debug tool implementation
4. Verify Home Assistant permissions
## Debugging
### Server Logs ### Server Logs
1. Enable debug logging: 1. Enable debug logging by setting:
```env ```env
LOG_LEVEL=debug LOG_LEVEL=debug
``` ```
2. Check logs: 2. Check logs:
```bash ```bash
npm run logs npm run logs
``` ```
3. Filter errors:
3. Filter logs:
```bash ```bash
npm run logs | grep "error" npm run logs | grep "error"
``` ```
### Network Debugging ### Network Debugging
1. Check API endpoints: 1. Test API endpoints:
```bash ```bash
curl -v http://localhost:3000/api/health curl -v http://localhost:3000/api/health
``` ```
2. Monitor SSE connections: 2. Monitor SSE connections:
```bash ```bash
curl -N http://localhost:3000/api/sse/stats curl -N http://localhost:3000/api/sse/stats
``` ```
3. Test WebSocket connectivity:
3. Test WebSocket:
```bash ```bash
wscat -c ws://localhost:3000 wscat -c ws://localhost:3000
``` ```
### Performance Issues ### Performance Issues
1. Monitor memory usage: - Monitor memory usage with:
```bash ```bash
npm run stats npm run stats
``` ```
2. Check response times: ## Security Middleware Troubleshooting
```bash
curl -w "%{time_total}\n" -o /dev/null -s http://localhost:3000/api/health
```
3. Profile code: ### Rate Limiting Problems
```bash
npm run profile **Symptoms:** Receiving 429 (Too Many Requests) errors.
```
**Solutions:**
- Adjust and fine-tune rate limit settings.
- Consider different limits for critical versus non-critical endpoints.
### Request Validation Failures
**Symptoms:** 400 or 415 errors on valid requests.
**Solutions:**
- Verify that the `Content-Type` header is set correctly.
- Inspect request payload size and format.
### Input Sanitization Issues
**Symptoms:** Unexpected data transformation or loss.
**Solutions:**
- Test sanitization with various input types.
- Implement custom sanitization for complex data if needed.
### Security Header Configuration
**Symptoms:** Missing or improper security headers.
**Solutions:**
- Review and update security header configurations (e.g., Helmet settings).
- Ensure environment-specific header settings are in place.
### Error Handling and Logging
**Symptoms:** Inconsistent error responses.
**Solutions:**
- Enhance logging for detailed error tracking.
- Adjust error handlers for production and development differences.
## Additional Resources
- [OWASP Security Guidelines](https://owasp.org/www-project-top-ten/)
- [Helmet.js Documentation](https://helmetjs.github.io/)
- [JWT Security Best Practices](https://jwt.io/introduction)
## Getting Help
If issues persist:
1. Review detailed logs.
2. Verify your configuration and environment.
3. Consult the GitHub issue tracker or community forums.
## FAQ ## FAQ
@@ -167,7 +158,7 @@ A: Adjust SSE_MAX_CLIENTS in configuration or clean up stale connections.
1. Documentation 1. Documentation
- [API Reference](./API.md) - [API Reference](./API.md)
- [Configuration Guide](./configuration/README.md) - [Configuration Guide](./configuration/README.md)
- [Development Guide](./development/README.md) - [Development Guide](./development/development.md)
2. Community 2. Community
- GitHub Issues - GitHub Issues

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@@ -0,0 +1,34 @@
# Usage Guide
This guide explains how to use the Home Assistant MCP Server for smart home device management and integration with language learning systems.
## Basic Usage
1. **Starting the Server:**
- For development: run `npm run dev`.
- For production: run `npm run build` followed by `npm start`.
2. **Accessing the Web Interface:**
- Open [http://localhost:3000](http://localhost:3000) in your browser.
3. **Real-Time Updates:**
- Connect to the SSE endpoint at `/subscribe_events?token=YOUR_TOKEN&domain=light` to receive live updates.
## Advanced Features
1. **API Interactions:**
- Use the REST API for operations such as device control, automation, and add-on management.
- See [API Documentation](api.md) for details.
2. **Tool Integrations:**
- Multiple tools are available (see [Tools Documentation](tools/tools.md)), for tasks like automation management and notifications.
3. **Security Settings:**
- Configure token-based authentication and environment variables as per the [Configuration Guide](getting-started/configuration.md).
4. **Customization and Extensions:**
- Extend server functionality by developing new tools as outlined in the [Development Guide](development/development.md).
## Troubleshooting
If you experience issues, review the [Troubleshooting Guide](troubleshooting.md).

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@@ -0,0 +1,91 @@
# Speech-to-Text Examples
This directory contains examples demonstrating how to use the speech-to-text integration with wake word detection.
## Prerequisites
1. Make sure you have Docker installed and running
2. Build and start the services:
```bash
docker-compose up -d
```
## Running the Example
1. Install dependencies:
```bash
npm install
```
2. Run the example:
```bash
npm run example:speech
```
Or using `ts-node` directly:
```bash
npx ts-node examples/speech-to-text-example.ts
```
## Features Demonstrated
1. **Wake Word Detection**
- Listens for wake words: "hey jarvis", "ok google", "alexa"
- Automatically saves audio when wake word is detected
- Transcribes the detected speech
2. **Manual Transcription**
- Example of how to transcribe audio files manually
- Supports different models and configurations
3. **Event Handling**
- Wake word detection events
- Transcription results
- Progress updates
- Error handling
## Example Output
When a wake word is detected, you'll see output like this:
```
🎤 Wake word detected!
Timestamp: 20240203_123456
Audio file: /path/to/audio/wake_word_20240203_123456.wav
Metadata file: /path/to/audio/wake_word_20240203_123456.wav.json
📝 Transcription result:
Full text: This is what was said after the wake word.
Segments:
1. [0.00s - 1.52s] (95.5% confidence)
"This is what was said"
2. [1.52s - 2.34s] (98.2% confidence)
"after the wake word."
```
## Customization
You can customize the behavior by:
1. Changing the wake word models in `docker/speech/Dockerfile`
2. Modifying transcription options in the example file
3. Adding your own event handlers
4. Implementing different audio processing logic
## Troubleshooting
1. **Docker Issues**
- Make sure Docker is running
- Check container logs: `docker-compose logs fast-whisper`
- Verify container is up: `docker ps`
2. **Audio Issues**
- Check audio device permissions
- Verify audio file format (WAV files recommended)
- Check audio file permissions
3. **Performance Issues**
- Try using a smaller model (tiny.en or base.en)
- Adjust beam size and patience parameters
- Consider using GPU acceleration if available

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@@ -0,0 +1,91 @@
import { SpeechToText, TranscriptionResult, WakeWordEvent } from '../src/speech/speechToText';
import path from 'path';
async function main() {
// Initialize the speech-to-text service
const speech = new SpeechToText('fast-whisper');
// Check if the service is available
const isHealthy = await speech.checkHealth();
if (!isHealthy) {
console.error('Speech service is not available. Make sure Docker is running and the fast-whisper container is up.');
console.error('Run: docker-compose up -d');
process.exit(1);
}
console.log('Speech service is ready!');
console.log('Listening for wake words: "hey jarvis", "ok google", "alexa"');
console.log('Press Ctrl+C to exit');
// Set up event handlers
speech.on('wake_word', (event: WakeWordEvent) => {
console.log('\n🎤 Wake word detected!');
console.log(' Timestamp:', event.timestamp);
console.log(' Audio file:', event.audioFile);
console.log(' Metadata file:', event.metadataFile);
});
speech.on('transcription', (event: { audioFile: string; result: TranscriptionResult }) => {
console.log('\n📝 Transcription result:');
console.log(' Full text:', event.result.text);
console.log('\n Segments:');
event.result.segments.forEach((segment, index) => {
console.log(` ${index + 1}. [${segment.start.toFixed(2)}s - ${segment.end.toFixed(2)}s] (${(segment.confidence * 100).toFixed(1)}% confidence)`);
console.log(` "${segment.text}"`);
});
});
speech.on('progress', (event: { type: string; data: string }) => {
if (event.type === 'stderr' && !event.data.includes('Loading model')) {
console.error('❌ Error:', event.data);
}
});
speech.on('error', (error: Error) => {
console.error('❌ Error:', error.message);
});
// Example of manual transcription
async function transcribeFile(filepath: string) {
try {
console.log(`\n🎯 Manually transcribing: ${filepath}`);
const result = await speech.transcribeAudio(filepath, {
model: 'base.en', // You can change this to tiny.en, small.en, medium.en, or large-v2
language: 'en',
temperature: 0,
beamSize: 5
});
console.log('\n📝 Transcription result:');
console.log(' Text:', result.text);
} catch (error) {
console.error('❌ Transcription failed:', error instanceof Error ? error.message : error);
}
}
// Create audio directory if it doesn't exist
const audioDir = path.join(__dirname, '..', 'audio');
if (!require('fs').existsSync(audioDir)) {
require('fs').mkdirSync(audioDir, { recursive: true });
}
// Start wake word detection
speech.startWakeWordDetection(audioDir);
// Example: You can also manually transcribe files
// Uncomment the following line and replace with your audio file:
// await transcribeFile('/path/to/your/audio.wav');
// Keep the process running
process.on('SIGINT', () => {
console.log('\nStopping speech service...');
speech.stopWakeWordDetection();
process.exit(0);
});
}
// Run the example
main().catch(error => {
console.error('Fatal error:', error);
process.exit(1);
});

26
mkdocs.yml Normal file
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@@ -0,0 +1,26 @@
site_name: Home Assistant Model Context Protocol (MCP)
site_url: https://yourusername.github.io/your-repo-name/
repo_url: https://github.com/yourusername/your-repo-name
theme:
name: material
features:
- navigation.tabs
- navigation.sections
- toc.integrate
- search.suggest
- search.highlight
markdown_extensions:
- pymdownx.highlight
- pymdownx.superfences
- admonition
- pymdownx.details
nav:
- Home: index.md
- Getting Started:
- Installation: getting-started/installation.md
- Configuration: getting-started/configuration.md
- Usage: usage.md
- Contributing: contributing.md

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@@ -1,7 +1,7 @@
{ {
"name": "homeassistant-mcp", "name": "homeassistant-mcp",
"version": "1.0.0", "version": "1.0.0",
"description": "Home Assistant Master Control Program", "description": "Home Assistant Model Context Protocol",
"main": "dist/index.js", "main": "dist/index.js",
"type": "module", "type": "module",
"scripts": { "scripts": {
@@ -21,7 +21,8 @@
"profile": "bun --inspect src/index.ts", "profile": "bun --inspect src/index.ts",
"clean": "rm -rf dist .bun coverage", "clean": "rm -rf dist .bun coverage",
"typecheck": "bun x tsc --noEmit", "typecheck": "bun x tsc --noEmit",
"preinstall": "bun install --frozen-lockfile" "preinstall": "bun install --frozen-lockfile",
"example:speech": "bun run examples/speech-to-text-example.ts"
}, },
"dependencies": { "dependencies": {
"@elysiajs/cors": "^1.2.0", "@elysiajs/cors": "^1.2.0",
@@ -37,6 +38,8 @@
"node-fetch": "^3.3.2", "node-fetch": "^3.3.2",
"sanitize-html": "^2.11.0", "sanitize-html": "^2.11.0",
"typescript": "^5.3.3", "typescript": "^5.3.3",
"winston": "^3.11.0",
"winston-daily-rotate-file": "^5.0.0",
"ws": "^8.16.0", "ws": "^8.16.0",
"zod": "^3.22.4" "zod": "^3.22.4"
}, },

21
smithery.yaml Normal file
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@@ -0,0 +1,21 @@
# Smithery configuration file: https://smithery.ai/docs/config#smitheryyaml
startCommand:
type: stdio
configSchema:
# JSON Schema defining the configuration options for the MCP.
type: object
required:
- hassToken
properties:
hassToken:
type: string
description: The token for connecting to Home Assistant API.
port:
type: number
default: 4000
description: The port on which the MCP server will run.
commandFunction:
# A function that produces the CLI command to start the MCP on stdio.
|-
config => ({command: 'bun', args: ['--smol', 'run', 'start'], env: { HASS_TOKEN: config.hassToken, PORT: config.port.toString() }})

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@@ -33,6 +33,21 @@ export const AppConfigSchema = z.object({
HASS_HOST: z.string().default("http://192.168.178.63:8123"), HASS_HOST: z.string().default("http://192.168.178.63:8123"),
HASS_TOKEN: z.string().optional(), HASS_TOKEN: z.string().optional(),
/** Speech Features Configuration */
SPEECH: z.object({
ENABLED: z.boolean().default(false),
WAKE_WORD_ENABLED: z.boolean().default(false),
SPEECH_TO_TEXT_ENABLED: z.boolean().default(false),
WHISPER_MODEL_PATH: z.string().default("/models"),
WHISPER_MODEL_TYPE: z.string().default("base"),
}).default({
ENABLED: false,
WAKE_WORD_ENABLED: false,
SPEECH_TO_TEXT_ENABLED: false,
WHISPER_MODEL_PATH: "/models",
WHISPER_MODEL_TYPE: "base",
}),
/** Security Configuration */ /** Security Configuration */
JWT_SECRET: z.string().default("your-secret-key"), JWT_SECRET: z.string().default("your-secret-key"),
RATE_LIMIT: z.object({ RATE_LIMIT: z.object({
@@ -113,4 +128,11 @@ export const APP_CONFIG = AppConfigSchema.parse({
LOG_REQUESTS: process.env.LOG_REQUESTS === "true", LOG_REQUESTS: process.env.LOG_REQUESTS === "true",
}, },
VERSION: "0.1.0", VERSION: "0.1.0",
SPEECH: {
ENABLED: process.env.ENABLE_SPEECH_FEATURES === "true",
WAKE_WORD_ENABLED: process.env.ENABLE_WAKE_WORD === "true",
SPEECH_TO_TEXT_ENABLED: process.env.ENABLE_SPEECH_TO_TEXT === "true",
WHISPER_MODEL_PATH: process.env.WHISPER_MODEL_PATH || "/models",
WHISPER_MODEL_TYPE: process.env.WHISPER_MODEL_TYPE || "base",
},
}); });

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@@ -25,6 +25,8 @@ import {
climateCommands, climateCommands,
type Command, type Command,
} from "./commands.js"; } from "./commands.js";
import { speechService } from "./speech/index.js";
import { APP_CONFIG } from "./config/app.config.js";
// Load environment variables based on NODE_ENV // Load environment variables based on NODE_ENV
const envFile = const envFile =
@@ -129,8 +131,19 @@ app.get("/health", () => ({
status: "ok", status: "ok",
timestamp: new Date().toISOString(), timestamp: new Date().toISOString(),
version: "0.1.0", version: "0.1.0",
speech_enabled: APP_CONFIG.SPEECH.ENABLED,
wake_word_enabled: APP_CONFIG.SPEECH.WAKE_WORD_ENABLED,
speech_to_text_enabled: APP_CONFIG.SPEECH.SPEECH_TO_TEXT_ENABLED,
})); }));
// Initialize speech service if enabled
if (APP_CONFIG.SPEECH.ENABLED) {
console.log("Initializing speech service...");
speechService.initialize().catch((error) => {
console.error("Failed to initialize speech service:", error);
});
}
// Create API endpoints for each tool // Create API endpoints for each tool
tools.forEach((tool) => { tools.forEach((tool) => {
app.post(`/api/tools/${tool.name}`, async ({ body }: { body: Record<string, unknown> }) => { app.post(`/api/tools/${tool.name}`, async ({ body }: { body: Record<string, unknown> }) => {
@@ -145,7 +158,12 @@ app.listen(PORT, () => {
}); });
// Handle server shutdown // Handle server shutdown
process.on("SIGTERM", () => { process.on("SIGTERM", async () => {
console.log("Received SIGTERM. Shutting down gracefully..."); console.log("Received SIGTERM. Shutting down gracefully...");
if (APP_CONFIG.SPEECH.ENABLED) {
await speechService.shutdown().catch((error) => {
console.error("Error shutting down speech service:", error);
});
}
process.exit(0); process.exit(0);
}); });

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@@ -0,0 +1,116 @@
import { SpeechToText, WakeWordEvent, TranscriptionError } from '../speechToText';
import fs from 'fs';
import path from 'path';
describe('SpeechToText', () => {
let speechToText: SpeechToText;
const testAudioDir = path.join(__dirname, 'test_audio');
beforeEach(() => {
speechToText = new SpeechToText('fast-whisper');
// Create test audio directory if it doesn't exist
if (!fs.existsSync(testAudioDir)) {
fs.mkdirSync(testAudioDir, { recursive: true });
}
});
afterEach(() => {
speechToText.stopWakeWordDetection();
// Clean up test files
if (fs.existsSync(testAudioDir)) {
fs.rmSync(testAudioDir, { recursive: true, force: true });
}
});
describe('checkHealth', () => {
it('should handle Docker not being available', async () => {
const isHealthy = await speechToText.checkHealth();
expect(isHealthy).toBeDefined();
expect(isHealthy).toBe(false);
});
});
describe('wake word detection', () => {
it('should detect new audio files and emit wake word events', (done) => {
const testFile = path.join(testAudioDir, 'wake_word_test_123456.wav');
const testMetadata = `${testFile}.json`;
speechToText.startWakeWordDetection(testAudioDir);
speechToText.on('wake_word', (event: WakeWordEvent) => {
expect(event).toBeDefined();
expect(event.audioFile).toBe(testFile);
expect(event.metadataFile).toBe(testMetadata);
expect(event.timestamp).toBe('123456');
done();
});
// Create a test audio file to trigger the event
fs.writeFileSync(testFile, 'test audio content');
}, 1000);
it('should handle transcription errors when Docker is not available', (done) => {
const testFile = path.join(testAudioDir, 'wake_word_test_123456.wav');
let errorEmitted = false;
let wakeWordEmitted = false;
const checkDone = () => {
if (errorEmitted && wakeWordEmitted) {
done();
}
};
speechToText.on('error', (error) => {
expect(error).toBeDefined();
expect(error).toBeInstanceOf(TranscriptionError);
expect(error.message).toContain('Failed to start Docker process');
errorEmitted = true;
checkDone();
});
speechToText.on('wake_word', () => {
wakeWordEmitted = true;
checkDone();
});
speechToText.startWakeWordDetection(testAudioDir);
// Create a test audio file to trigger the event
fs.writeFileSync(testFile, 'test audio content');
}, 1000);
});
describe('transcribeAudio', () => {
it('should handle Docker not being available for transcription', async () => {
await expect(
speechToText.transcribeAudio('/audio/test.wav')
).rejects.toThrow(TranscriptionError);
});
it('should emit progress events on error', (done) => {
let progressEmitted = false;
let errorThrown = false;
const checkDone = () => {
if (progressEmitted && errorThrown) {
done();
}
};
speechToText.on('progress', (event: { type: string; data: string }) => {
expect(event.type).toBe('stderr');
expect(event.data).toBe('Failed to start Docker process');
progressEmitted = true;
checkDone();
});
speechToText.transcribeAudio('/audio/test.wav')
.catch((error) => {
expect(error).toBeInstanceOf(TranscriptionError);
errorThrown = true;
checkDone();
});
}, 1000);
});
});

110
src/speech/index.ts Normal file
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@@ -0,0 +1,110 @@
import { APP_CONFIG } from "../config/app.config.js";
import { logger } from "../utils/logger.js";
import type { IWakeWordDetector, ISpeechToText } from "./types.js";
class SpeechService {
private static instance: SpeechService | null = null;
private isInitialized: boolean = false;
private wakeWordDetector: IWakeWordDetector | null = null;
private speechToText: ISpeechToText | null = null;
private constructor() { }
public static getInstance(): SpeechService {
if (!SpeechService.instance) {
SpeechService.instance = new SpeechService();
}
return SpeechService.instance;
}
public async initialize(): Promise<void> {
if (this.isInitialized) {
return;
}
if (!APP_CONFIG.SPEECH.ENABLED) {
logger.info("Speech features are disabled. Skipping initialization.");
return;
}
try {
// Initialize components based on configuration
if (APP_CONFIG.SPEECH.WAKE_WORD_ENABLED) {
logger.info("Initializing wake word detection...");
// Dynamic import to avoid loading the module if not needed
const { WakeWordDetector } = await import("./wakeWordDetector.js");
this.wakeWordDetector = new WakeWordDetector() as IWakeWordDetector;
await this.wakeWordDetector.initialize();
}
if (APP_CONFIG.SPEECH.SPEECH_TO_TEXT_ENABLED) {
logger.info("Initializing speech-to-text...");
// Dynamic import to avoid loading the module if not needed
const { SpeechToText } = await import("./speechToText.js");
this.speechToText = new SpeechToText({
modelPath: APP_CONFIG.SPEECH.WHISPER_MODEL_PATH,
modelType: APP_CONFIG.SPEECH.WHISPER_MODEL_TYPE,
}) as ISpeechToText;
await this.speechToText.initialize();
}
this.isInitialized = true;
logger.info("Speech service initialized successfully");
} catch (error) {
logger.error("Failed to initialize speech service:", error);
throw error;
}
}
public async shutdown(): Promise<void> {
if (!this.isInitialized) {
return;
}
try {
if (this.wakeWordDetector) {
await this.wakeWordDetector.shutdown();
this.wakeWordDetector = null;
}
if (this.speechToText) {
await this.speechToText.shutdown();
this.speechToText = null;
}
this.isInitialized = false;
logger.info("Speech service shut down successfully");
} catch (error) {
logger.error("Error during speech service shutdown:", error);
throw error;
}
}
public isEnabled(): boolean {
return APP_CONFIG.SPEECH.ENABLED;
}
public isWakeWordEnabled(): boolean {
return APP_CONFIG.SPEECH.WAKE_WORD_ENABLED;
}
public isSpeechToTextEnabled(): boolean {
return APP_CONFIG.SPEECH.SPEECH_TO_TEXT_ENABLED;
}
public getWakeWordDetector(): IWakeWordDetector {
if (!this.isInitialized || !this.wakeWordDetector) {
throw new Error("Wake word detector is not initialized");
}
return this.wakeWordDetector;
}
public getSpeechToText(): ISpeechToText {
if (!this.isInitialized || !this.speechToText) {
throw new Error("Speech-to-text is not initialized");
}
return this.speechToText;
}
}
export const speechService = SpeechService.getInstance();

247
src/speech/speechToText.ts Normal file
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@@ -0,0 +1,247 @@
import { spawn } from 'child_process';
import { EventEmitter } from 'events';
import { watch } from 'fs';
import path from 'path';
import { ISpeechToText, SpeechToTextConfig } from "./types.js";
export interface TranscriptionOptions {
model?: 'tiny.en' | 'base.en' | 'small.en' | 'medium.en' | 'large-v2';
language?: string;
temperature?: number;
beamSize?: number;
patience?: number;
device?: 'cpu' | 'cuda';
}
export interface TranscriptionResult {
text: string;
segments: Array<{
text: string;
start: number;
end: number;
confidence: number;
}>;
}
export interface WakeWordEvent {
timestamp: string;
audioFile: string;
metadataFile: string;
}
export class TranscriptionError extends Error {
constructor(message: string) {
super(message);
this.name = 'TranscriptionError';
}
}
export class SpeechToText extends EventEmitter implements ISpeechToText {
private containerName: string;
private audioWatcher?: ReturnType<typeof watch>;
private modelPath: string;
private modelType: string;
private isInitialized: boolean = false;
constructor(config: SpeechToTextConfig) {
super();
this.containerName = config.containerName || 'fast-whisper';
this.modelPath = config.modelPath;
this.modelType = config.modelType;
}
public async initialize(): Promise<void> {
if (this.isInitialized) {
return;
}
try {
// Initialization logic will be implemented here
await this.setupContainer();
this.isInitialized = true;
this.emit('ready');
} catch (error) {
this.emit('error', error);
throw error;
}
}
public async shutdown(): Promise<void> {
if (!this.isInitialized) {
return;
}
try {
// Cleanup logic will be implemented here
await this.cleanupContainer();
this.isInitialized = false;
this.emit('shutdown');
} catch (error) {
this.emit('error', error);
throw error;
}
}
public async transcribe(audioData: Buffer): Promise<string> {
if (!this.isInitialized) {
throw new Error("Speech-to-text service is not initialized");
}
try {
// Transcription logic will be implemented here
this.emit('transcribing');
const result = await this.processAudio(audioData);
this.emit('transcribed', result);
return result;
} catch (error) {
this.emit('error', error);
throw error;
}
}
private async setupContainer(): Promise<void> {
// Container setup logic will be implemented here
await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
}
private async cleanupContainer(): Promise<void> {
// Container cleanup logic will be implemented here
await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
}
private async processAudio(audioData: Buffer): Promise<string> {
// Audio processing logic will be implemented here
await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
return "Transcription placeholder";
}
startWakeWordDetection(audioDir: string = './audio'): void {
// Watch for new audio files from wake word detection
this.audioWatcher = watch(audioDir, (eventType, filename) => {
if (eventType === 'rename' && filename && filename.startsWith('wake_word_') && filename.endsWith('.wav')) {
const audioFile = path.join(audioDir, filename);
const metadataFile = `${audioFile}.json`;
const parts = filename.split('_');
const timestamp = parts[parts.length - 1].split('.')[0];
// Emit wake word event
this.emit('wake_word', {
timestamp,
audioFile,
metadataFile
} as WakeWordEvent);
// Automatically transcribe the wake word audio
this.transcribeAudio(audioFile)
.then(result => {
this.emit('transcription', { audioFile, result });
})
.catch(error => {
this.emit('error', error);
});
}
});
}
stopWakeWordDetection(): void {
if (this.audioWatcher) {
this.audioWatcher.close();
this.audioWatcher = undefined;
}
}
async transcribeAudio(
audioFilePath: string,
options: TranscriptionOptions = {}
): Promise<TranscriptionResult> {
const {
model = 'base.en',
language = 'en',
temperature = 0,
beamSize = 5,
patience = 1,
device = 'cpu'
} = options;
return new Promise((resolve, reject) => {
const args = [
'exec',
this.containerName,
'fast-whisper',
'--model', model,
'--language', language,
'--temperature', temperature.toString(),
'--beam-size', beamSize.toString(),
'--patience', patience.toString(),
'--device', device,
'--output-json',
audioFilePath
];
let process;
try {
process = spawn('docker', args);
} catch (error) {
this.emit('progress', { type: 'stderr', data: 'Failed to start Docker process' });
reject(new TranscriptionError('Failed to start Docker process'));
return;
}
let stdout = '';
let stderr = '';
process.stdout?.on('data', (data: Buffer) => {
stdout += data.toString();
this.emit('progress', { type: 'stdout', data: data.toString() });
});
process.stderr?.on('data', (data: Buffer) => {
stderr += data.toString();
this.emit('progress', { type: 'stderr', data: data.toString() });
});
process.on('error', (error: Error) => {
this.emit('progress', { type: 'stderr', data: error.message });
reject(new TranscriptionError(`Failed to execute Docker command: ${error.message}`));
});
process.on('close', (code: number) => {
if (code !== 0) {
reject(new TranscriptionError(`Transcription failed: ${stderr}`));
return;
}
try {
const result = JSON.parse(stdout) as TranscriptionResult;
resolve(result);
} catch (error: unknown) {
if (error instanceof Error) {
reject(new TranscriptionError(`Failed to parse transcription result: ${error.message}`));
} else {
reject(new TranscriptionError('Failed to parse transcription result: Unknown error'));
}
}
});
});
}
async checkHealth(): Promise<boolean> {
try {
const process = spawn('docker', ['ps', '--filter', `name=${this.containerName}`, '--format', '{{.Status}}']);
return new Promise((resolve) => {
let output = '';
process.stdout?.on('data', (data: Buffer) => {
output += data.toString();
});
process.on('error', () => {
resolve(false);
});
process.on('close', (code: number) => {
resolve(code === 0 && output.toLowerCase().includes('up'));
});
});
} catch (error) {
return false;
}
}
}

20
src/speech/types.ts Normal file
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@@ -0,0 +1,20 @@
import { EventEmitter } from "events";
export interface IWakeWordDetector {
initialize(): Promise<void>;
shutdown(): Promise<void>;
startListening(): Promise<void>;
stopListening(): Promise<void>;
}
export interface ISpeechToText extends EventEmitter {
initialize(): Promise<void>;
shutdown(): Promise<void>;
transcribe(audioData: Buffer): Promise<string>;
}
export interface SpeechToTextConfig {
modelPath: string;
modelType: string;
containerName?: string;
}

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@@ -0,0 +1,64 @@
import { IWakeWordDetector } from "./types.js";
export class WakeWordDetector implements IWakeWordDetector {
private isListening: boolean = false;
private isInitialized: boolean = false;
public async initialize(): Promise<void> {
if (this.isInitialized) {
return;
}
// Initialization logic will be implemented here
await this.setupDetector();
this.isInitialized = true;
}
public async shutdown(): Promise<void> {
if (this.isListening) {
await this.stopListening();
}
if (this.isInitialized) {
await this.cleanupDetector();
this.isInitialized = false;
}
}
public async startListening(): Promise<void> {
if (!this.isInitialized) {
throw new Error("Wake word detector is not initialized");
}
if (this.isListening) {
return;
}
await this.startDetection();
this.isListening = true;
}
public async stopListening(): Promise<void> {
if (!this.isListening) {
return;
}
await this.stopDetection();
this.isListening = false;
}
private async setupDetector(): Promise<void> {
// Setup logic will be implemented here
await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
}
private async cleanupDetector(): Promise<void> {
// Cleanup logic will be implemented here
await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
}
private async startDetection(): Promise<void> {
// Start detection logic will be implemented here
await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
}
private async stopDetection(): Promise<void> {
// Stop detection logic will be implemented here
await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder
}
}