Compare commits

...

4 Commits

Author SHA1 Message Date
jango-blockchained
e49d31d725 docs: Enhance GitHub Actions documentation deployment workflow
- Improve documentation deployment process with more robust Git configuration
- Add explicit Git user setup for GitHub Actions
- Modify deployment script to create a clean gh-pages branch
- Ensure precise documentation site generation and deployment
2025-02-05 12:46:17 +01:00
jango-blockchained
13a27e1d00 docs: update MkDocs configuration and documentation structure
- Refactor mkdocs.yml with new project name and simplified configuration
- Update GitHub Actions workflow to use MkDocs Material deployment
- Add new configuration files for Claude Desktop
- Reorganize documentation navigation and structure
- Update CSS and JavaScript references
2025-02-05 12:44:26 +01:00
jango-blockchained
3e7f3920b2 docs: update project documentation with simplified, focused content
- Streamline README, API, architecture, and usage documentation
- Reduce complexity and focus on core functionality
- Update roadmap with more pragmatic, near-term goals
- Simplify contributing guidelines
- Improve overall documentation clarity and readability
2025-02-05 10:40:27 +01:00
jango-blockchained
8f8e3bd85e refactor: improve device control and listing tool error handling and filtering
- Enhance error handling in control tool with more specific domain validation
- Modify list devices tool to use direct filtering instead of manual iteration
- Add more descriptive success messages for different device domains and services
- Simplify device state filtering logic in list devices tool
2025-02-05 09:37:20 +01:00
16 changed files with 556 additions and 1552 deletions

View File

@@ -1,64 +1,38 @@
name: Deploy Documentation to GitHub Pages
name: Deploy MkDocs
on:
push:
branches:
- main
paths:
- 'docs/**'
- '.github/workflows/deploy-docs.yml'
- main # or master, depending on your default branch
workflow_dispatch:
permissions:
contents: read
pages: write
id-token: write
# Allow only one concurrent deployment
concurrency:
group: "pages"
cancel-in-progress: true
contents: write
jobs:
build:
deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Setup Ruby
uses: ruby/setup-ruby@v1
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
ruby-version: '3.2'
bundler-cache: true
cache-version: 0
- name: Setup Pages
uses: actions/configure-pages@v4
python-version: '3.x'
- name: Install dependencies
run: |
cd docs
bundle install
- name: Build site
pip install mkdocs-material
pip install mkdocs-git-revision-date-localized-plugin
pip install mkdocstrings[python]
- name: Configure Git
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:
git config --global user.name "github-actions[bot]"
git config --global user.email "github-actions[bot]@users.noreply.github.com"
- name: Build docs
run: mkdocs build
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@v4
run: |
git checkout --orphan gh-pages
git rm -rf .
mv site/* .
rm -rf site
git add .
git commit -m "docs: Update documentation"
git push origin gh-pages --force

339
README.md
View File

@@ -1,305 +1,128 @@
# 🚀 MCP Server for Home Assistant - Bringing AI-Powered Smart Homes to Life!
# MCP Server for Home Assistant 🏠🤖
[![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)
---
[![TypeScript](https://img.shields.io/badge/typescript-%5E5.0.0-blue.svg)](https://www.typescriptlang.org)
## 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:
MCP (Model Context Protocol) Server is a lightweight integration tool for Home Assistant, providing a flexible interface for device management and automation.
> "Hey MCP, dim the lights and start my evening playlist,"
## Core Features ✨
and watching your home transform instantly—that's the magic that MCP Server delivers!
- 🔌 Basic device control via REST API
- 📡 WebSocket/Server-Sent Events (SSE) for state updates
- 🤖 Simple automation rule management
- 🔐 JWT-based authentication
---
## Prerequisites 📋
## Key Benefits ✨
- 🚀 Bun runtime (v1.0.26+)
- 🏡 Home Assistant instance
- 🐳 Docker (optional, recommended for deployment)
### 🎮 Device Control & Monitoring
- **Voice-Controlled Automation:**
Use simple commands like "Turn on the kitchen lights" or "Set the thermostat to 22°C" without touching a switch.
**Real-World Example:**
In the morning, say "Good morning! Open the blinds and start the coffee machine" to kickstart your day automatically.
## Installation 🛠️
- **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.
- **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.
### 🤖 AI-Powered Enhancements
- **Natural Language Processing (NLP):**
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.
- **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.
- **Anomaly Detection:**
Continuously monitor device activity and alert you to unusual behavior, helping prevent malfunctions or potential security breaches.
---
## Architectural Overview 🏗
Our architecture is engineered for performance, scalability, and security. The following Mermaid diagram illustrates the data flow and component interactions:
```mermaid
graph TD
subgraph Client
A["Client Application (Web/Mobile/Voice)"]
end
subgraph CDN
B["CDN / Cache"]
end
subgraph Server
C["Bun Native Server"]
E["NLP Engine & Language Processing Module"]
end
subgraph Integration
D["Home Assistant (Devices, Lights, Thermostats)"]
end
A -->|HTTP Request| B
B -- Cache Miss --> C
C -->|Interpret Command| E
E -->|Determine Action| D
D -->|Return State/Action| C
C -->|Response| B
B -->|Cached/Processed Response| A
```
Learn more about our architecture in the [Architecture Documentation](docs/architecture.md).
---
## Technical Stack 🔧
Our solution is built on a modern, high-performance stack that powers every feature:
- **Bun:**
A next-generation JavaScript runtime offering rapid startup times, native TypeScript support, and high performance.
👉 [Learn about Bun](https://bun.sh)
- **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.
- **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):
### Docker Deployment (Recommended)
```bash
npx -y @smithery/cli install @jango-blockchained/advanced-homeassistant-mcp --client claude
```
# Clone the repository
git clone https://github.com/jango-blockchained/homeassistant-mcp.git
cd homeassistant-mcp
### 🐳 Docker Setup (Recommended)
# Copy and edit environment configuration
cp .env.example .env
# Edit .env with your Home Assistant credentials
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
# Build and start 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:
### Bare Metal Installation
```bash
# 1. Install Bun (if not already installed)
# Install Bun
curl -fsSL https://bun.sh/install | bash
# 2. Install project dependencies with caching support
bun install --frozen-lockfile
# Clone the repository
git clone https://github.com/jango-blockchained/homeassistant-mcp.git
cd homeassistant-mcp
# 3. Launch the server in development mode with hot-reload enabled
bun run dev --watch
# Install dependencies
bun install
# Start the server
bun run dev
```
---
## Basic Usage 🖥️
## Real-World Usage Examples 🔍
### Device Control Example
### 📱 Smart Home Dashboard Integration
Integrate MCP's real-time updates into your custom dashboard for a dynamic smart home experience:
```typescript
// Turn on a light
const response = await fetch('http://localhost:3000/api/devices/light.living_room', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${token}`
},
body: JSON.stringify({ state: 'on' })
});
```
```javascript
const eventSource = new EventSource('http://localhost:3000/subscribe_events?token=YOUR_TOKEN&domain=light');
### WebSocket State Updates
eventSource.onmessage = (event) => {
const data = JSON.parse(event.data);
console.log('Real-time update:', data);
// Update your UI dashboard, e.g., refresh a light intensity indicator.
```typescript
const ws = new WebSocket('ws://localhost:3000/devices');
ws.onmessage = (event) => {
const deviceState = JSON.parse(event.data);
console.log('Device state updated:', deviceState);
};
```
### 🏠 Voice-Activated Control
Utilize voice commands to trigger actions with minimal effort:
## Current Limitations ⚠️
```javascript
// Establish a WebSocket connection for real-time command processing
const ws = new WebSocket('wss://mcp.yourha.com/ws');
ws.onmessage = ({ data }) => {
const update = JSON.parse(data);
if (update.entity_id === 'light.living_room') {
console.log('Adjusting living room lighting based on voice command...');
// Additional logic to update your UI or trigger further actions can go here.
}
};
// Simulate processing a voice command
function simulateVoiceCommand(command) {
console.log("Processing voice command:", command);
// Integrate with your actual voice-to-text system as needed.
}
simulateVoiceCommand("Turn off all the lights for bedtime");
```
👉 Learn more in our [Usage Guide](docs/usage.md).
---
## Update Strategy 🔄
Maintain a seamless operation with zero downtime updates:
```bash
# 1. Pull the latest Docker images
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
```
For more details, review our [Troubleshooting & Updates](docs/troubleshooting.md).
---
## Security Features 🔐
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.
---
- 🎙️ Basic voice command support (work in progress)
- 🧠 Limited advanced NLP capabilities
- 🔗 Minimal third-party device integration
- 🐛 Early-stage error handling
## Contributing 🤝
We value community contributions! Here's how you can help improve MCP Server:
1. **Fork the Repository 🍴**
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.
1. Fork the repository
2. Create a feature branch:
```bash
git checkout -b feature/your-feature
```
3. Make your changes
4. Run tests:
```bash
bun test
```
5. Submit a pull request
Read more in our [Contribution Guidelines](docs/contributing.md).
## Roadmap 🗺️
---
- 🎤 Enhance voice command processing
- 🔌 Improve device compatibility
- 🤖 Expand automation capabilities
- 🛡️ Implement more robust error handling
## Roadmap & Future Enhancements 🔮
## License 📄
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.
MIT License. See [LICENSE](LICENSE) for details.
For more details, see our [Roadmap](docs/roadmap.md).
## Support 🆘
---
- 🐞 [GitHub Issues](https://github.com/jango-blockchained/homeassistant-mcp/issues)
- 📖 Documentation: [Project Docs](https://jango-blockchained.github.io/homeassistant-mcp/)
## Community & Support 🌍
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/).
---
## License 📜
This project is licensed under the MIT License. See [LICENSE](LICENSE) for full details.
---
🔋 Batteries included.
## MCP Client Integration
## MCP Client Integration 🔗
This MCP server can be integrated with various clients that support the Model Context Protocol. Below are instructions for different client integrations:
### Cursor Integration
### Cursor Integration 🖱️
The server can be integrated with Cursor by adding the configuration to `.cursor/config/config.json`:
@@ -318,7 +141,7 @@ The server can be integrated with Cursor by adding the configuration to `.cursor
}
```
### Claude Desktop Integration
### Claude Desktop Integration 💬
For Claude Desktop, add the following to your Claude configuration file:
@@ -336,7 +159,7 @@ For Claude Desktop, add the following to your Claude configuration file:
}
```
### Cline Integration
### Cline Integration 📟
For Cline-based clients, add the following configuration:
@@ -361,7 +184,7 @@ For Cline-based clients, add the following configuration:
}
```
### Command Line Usage
### Command Line Usage 💻
#### Windows
A CMD script is provided in the `scripts` directory. To use it:

View File

@@ -1,22 +1,29 @@
# Use Python slim image as builder
FROM python:3.10-slim 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/*
curl \
wget
# Create and activate virtual environment
RUN python -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"
# Install Python dependencies with specific versions and CPU-only variants
RUN pip install --no-cache-dir "numpy>=1.24.3,<2.0.0" && \
pip install --no-cache-dir torch==2.1.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cpu && \
pip install --no-cache-dir faster-whisper==0.10.0 openwakeword==0.4.0 pyaudio==0.2.14 sounddevice==0.4.6 requests==2.31.0 && \
pip freeze > /opt/venv/requirements.txt
RUN pip install --no-cache-dir \
"numpy>=1.24.3,<2.0" \
"sounddevice" \
"openwakeword" \
"faster-whisper" \
"transformers" \
"torch" \
"torchaudio" \
"huggingface_hub" \
"requests" \
"soundfile" \
"tflite-runtime"
# Create final image
FROM python:3.10-slim
@@ -28,31 +35,48 @@ ENV PATH="/opt/venv/bin:$PATH"
# Install audio dependencies
RUN apt-get update && apt-get install -y \
portaudio19-dev \
python3-pyaudio \
alsa-utils \
libasound2 \
libasound2-plugins \
pulseaudio \
pulseaudio-utils \
libpulse0 \
libportaudio2 \
&& rm -rf /var/lib/apt/lists/* \
&& mkdir -p /var/run/pulse /var/lib/pulse
alsa-utils \
curl \
wget
# Create necessary directories
RUN mkdir -p /models/wake_word /audio && \
chown -R 1000:1000 /models /audio && \
mkdir -p /home/user/.config/pulse && \
chown -R 1000:1000 /home/user
# Create necessary directories with explicit permissions
RUN mkdir -p /models/wake_word /audio /app /models/cache /models/models--Systran--faster-whisper-base /opt/venv/lib/python3.10/site-packages/openwakeword/resources/models \
&& chmod -R 777 /models /audio /app /models/cache /models/models--Systran--faster-whisper-base /opt/venv/lib/python3.10/site-packages/openwakeword/resources/models
# Download wake word models
RUN wget -O /opt/venv/lib/python3.10/site-packages/openwakeword/resources/models/alexa_v0.1.tflite \
https://github.com/dscripka/openWakeWord/raw/main/openwakeword/resources/models/alexa_v0.1.tflite \
&& wget -O /opt/venv/lib/python3.10/site-packages/openwakeword/resources/models/hey_jarvis_v0.1.tflite \
https://github.com/dscripka/openWakeWord/raw/main/openwakeword/resources/models/hey_jarvis_v0.1.tflite \
&& chmod 644 /opt/venv/lib/python3.10/site-packages/openwakeword/resources/models/*.tflite
# Set environment variables for model caching
ENV HF_HOME=/models/cache
ENV TRANSFORMERS_CACHE=/models/cache
ENV HUGGINGFACE_HUB_CACHE=/models/cache
# Copy scripts and set permissions explicitly
COPY wake_word_detector.py /app/wake_word_detector.py
COPY setup-audio.sh /setup-audio.sh
# Ensure scripts are executable by any user
RUN chmod 755 /setup-audio.sh /app/wake_word_detector.py
# Create a non-root user with explicit UID and GID
RUN addgroup --gid 1000 user && \
adduser --uid 1000 --gid 1000 --disabled-password --gecos '' user
# Change ownership of directories
RUN chown -R 1000:1000 /models /audio /app /models/cache /models/models--Systran--faster-whisper-base \
/opt/venv/lib/python3.10/site-packages/openwakeword/resources/models
# Switch to non-root user
USER user
# Set working directory
WORKDIR /app
# Copy the wake word detection script and audio setup script
COPY wake_word_detector.py .
COPY setup-audio.sh /setup-audio.sh
RUN chmod +x /setup-audio.sh
# Set environment variables
ENV WHISPER_MODEL_PATH=/models \
WAKEWORD_MODEL_PATH=/models/wake_word \
@@ -60,8 +84,5 @@ ENV WHISPER_MODEL_PATH=/models \
PULSE_SERVER=unix:/run/user/1000/pulse/native \
HOME=/home/user
# Run as the host user
USER 1000:1000
# Start the application
CMD ["/setup-audio.sh"]

View File

@@ -1,25 +1,58 @@
#!/bin/bash
set -e # Exit immediately if a command exits with a non-zero status
set -x # Print commands and their arguments as they are executed
echo "Starting audio setup script at $(date)"
echo "Current user: $(whoami)"
echo "Current directory: $(pwd)"
# Print environment variables related to audio and speech
echo "ENABLE_WAKE_WORD: ${ENABLE_WAKE_WORD}"
echo "PULSE_SERVER: ${PULSE_SERVER}"
echo "WHISPER_MODEL_PATH: ${WHISPER_MODEL_PATH}"
# Wait for PulseAudio socket to be available
max_wait=30
wait_count=0
while [ ! -e /run/user/1000/pulse/native ]; do
echo "Waiting for PulseAudio socket..."
echo "Waiting for PulseAudio socket... (${wait_count}/${max_wait})"
sleep 1
wait_count=$((wait_count + 1))
if [ $wait_count -ge $max_wait ]; then
echo "ERROR: PulseAudio socket not available after ${max_wait} seconds"
exit 1
fi
done
# Test PulseAudio connection
pactl info || {
echo "Failed to connect to PulseAudio server"
# Verify PulseAudio connection with detailed error handling
if ! pactl info; then
echo "ERROR: Failed to connect to PulseAudio server"
pactl list short modules
pactl list short clients
exit 1
}
fi
# List audio devices
pactl list sources || {
echo "Failed to list audio devices"
# List audio devices with error handling
if ! pactl list sources; then
echo "ERROR: Failed to list audio devices"
exit 1
}
fi
# Start the wake word detector
python /app/wake_word_detector.py
# Ensure wake word detector script is executable
chmod +x /app/wake_word_detector.py
# Start the wake word detector with logging
echo "Starting wake word detector at $(date)"
python /app/wake_word_detector.py 2>&1 | tee /audio/wake_word_detector.log &
wake_word_pid=$!
# Wait and check if the process is still running
sleep 5
if ! kill -0 $wake_word_pid 2>/dev/null; then
echo "ERROR: Wake word detector process died immediately"
cat /audio/wake_word_detector.log
exit 1
fi
# Mute the monitor to prevent feedback
pactl set-source-mute alsa_output.pci-0000_00_1b.0.analog-stereo.monitor 1
@@ -30,5 +63,6 @@ pactl set-source-volume alsa_input.pci-0000_00_1b.0.analog-stereo 65%
# Set speaker volume to 40%
pactl set-sink-volume alsa_output.pci-0000_00_1b.0.analog-stereo 40%
# Make the script executable
chmod +x /setup-audio.sh
# Keep the script running to prevent container exit
echo "Audio setup complete. Keeping container alive."
tail -f /dev/null

View File

@@ -53,8 +53,8 @@ HASS_TOKEN = os.environ.get('HASS_TOKEN')
def initialize_asr_model():
"""Initialize the ASR model with retries and timeout"""
model_path = os.environ.get('ASR_MODEL_PATH', '/models')
model_name = os.environ.get('ASR_MODEL', 'large-v3')
model_path = os.environ.get('WHISPER_MODEL_PATH', '/models')
model_name = os.environ.get('WHISPER_MODEL_TYPE', 'base')
start_time = time.time()
for attempt in range(MAX_MODEL_LOAD_RETRIES):

View File

@@ -1,728 +1,170 @@
# 🚀 Home Assistant MCP API Documentation
# Home Assistant MCP Server 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)
## Overview
## 🌟 Quick Start
This document provides a reference for the MCP Server API, which offers basic device control and state management for Home Assistant.
```bash
# Get API schema with caching
curl -X GET http://localhost:3000/mcp \
-H "Cache-Control: max-age=3600" # Cache for 1 hour
```
## Authentication
## 🔌 Core Functions ⚙️
All API requests require a valid JWT token in the Authorization header:
### State Management (`/api/state`)
```http
GET /api/state?cache=true # Enable client-side caching
POST /api/state
Authorization: Bearer YOUR_TOKEN
```
**Example Request:**
## Core Endpoints
### Device State Management
#### Get Device State
```http
GET /api/state/{entity_id}
```
**Response:**
```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
The server exposes an MCP (Model Context Protocol) schema endpoint that describes all available tools and their parameters:
```http
GET /mcp
```
This endpoint returns a JSON schema describing all available tools, their parameters, and documentation resources. The schema follows the MCP specification and can be used by LLM clients to understand the server's capabilities.
Example response:
```json
{
"tools": [
{
"name": "list_devices",
"description": "List all devices connected to Home Assistant",
"parameters": {
"type": "object",
"properties": {
"domain": {
"type": "string",
"enum": ["light", "climate", "alarm_control_panel", ...]
},
"area": { "type": "string" },
"floor": { "type": "string" }
}
}
},
// ... other tools
],
"prompts": [],
"resources": [
{
"name": "Home Assistant API",
"url": "https://developers.home-assistant.io/docs/api/rest/"
}
]
}
```
Note: The `/mcp` endpoint is publicly accessible and does not require authentication, as it only provides schema information.
## Core Functions
### State Management
```http
GET /api/state
POST /api/state
```
Manages the current state of the system.
**Example Request:**
```json
POST /api/state
{
"context": "living_room",
"state": {
"lights": "on",
"temperature": 22
"state": "on",
"attributes": {
"brightness": 128
}
}
```
### Context Updates
#### Update Device State
```http
POST /api/context
```
POST /api/state
Content-Type: application/json
Updates the current context with new information.
**Example Request:**
```json
POST /api/context
{
"user": "john",
"location": "kitchen",
"time": "morning",
"activity": "cooking"
"entity_id": "light.living_room",
"state": "on",
"attributes": {
"brightness": 128
}
}
```
## Action Endpoints
### Device Control
### Execute Action
#### Execute Device Command
```http
POST /api/action
```
POST /api/control
Content-Type: application/json
Executes a specified action with given parameters.
**Example Request:**
```json
POST /api/action
{
"action": "turn_on_lights",
"entity_id": "light.living_room",
"command": "turn_on",
"parameters": {
"room": "living_room",
"brightness": 80
"brightness": 50
}
}
```
### Batch Actions
```http
POST /api/actions/batch
```
## Real-Time Updates
Executes multiple actions in sequence.
**Example Request:**
```json
POST /api/actions/batch
{
"actions": [
{
"action": "turn_on_lights",
"parameters": {
"room": "living_room"
}
},
{
"action": "set_temperature",
"parameters": {
"temperature": 22
}
}
]
}
```
## Query Functions
### Get Available Actions
```http
GET /api/actions
```
Returns a list of all available actions.
**Example Response:**
```json
{
"actions": [
{
"name": "turn_on_lights",
"parameters": ["room", "brightness"],
"description": "Turns on lights in specified room"
},
{
"name": "set_temperature",
"parameters": ["temperature"],
"description": "Sets temperature in current context"
}
]
}
```
### Context Query
```http
GET /api/context?type=current
```
Retrieves context information.
**Example Response:**
```json
{
"current_context": {
"user": "john",
"location": "kitchen",
"time": "morning",
"activity": "cooking"
}
}
```
## WebSocket Events
The server supports real-time updates via WebSocket connections.
### WebSocket Connection
Connect to real-time updates:
```javascript
// Client-side connection example
const ws = new WebSocket('ws://localhost:3000/ws');
const ws = new WebSocket('ws://localhost:3000/events');
ws.onmessage = (event) => {
const data = JSON.parse(event.data);
console.log('Received update:', data);
const deviceUpdate = JSON.parse(event.data);
console.log('Device state changed:', deviceUpdate);
};
```
### Supported Events
- `state_change`: Emitted when system state changes
- `context_update`: Emitted when context is updated
- `action_executed`: Emitted when an action is completed
- `error`: Emitted when an error occurs
**Example Event Data:**
```json
{
"event": "state_change",
"data": {
"previous_state": {
"lights": "off"
},
"current_state": {
"lights": "on"
},
"timestamp": "2024-03-20T10:30:00Z"
}
}
```
## Error Handling
All endpoints return standard HTTP status codes:
### Common Error Responses
- 200: Success
- 400: Bad Request
- 401: Unauthorized
- 403: Forbidden
- 404: Not Found
- 500: Internal Server Error
**Error Response Format:**
```json
{
"error": {
"code": "INVALID_PARAMETERS",
"message": "Missing required parameter: room",
"details": {
"missing_fields": ["room"]
}
"code": "INVALID_REQUEST",
"message": "Invalid request parameters",
"details": "Entity ID not found or invalid command"
}
}
```
## Rate Limiting
The API implements rate limiting to prevent abuse:
Basic rate limiting is implemented:
- Maximum of 100 requests per minute
- Excess requests will receive a 429 Too Many Requests response
- 100 requests per minute per IP for regular endpoints
- 1000 requests per minute per IP for WebSocket connections
## Supported Operations
When rate limit is exceeded, the server returns:
### Supported Commands
- `turn_on`
- `turn_off`
- `toggle`
- `set_brightness`
- `set_color`
```json
{
"error": {
"code": "RATE_LIMIT_EXCEEDED",
"message": "Too many requests",
"reset_time": "2024-03-20T10:31:00Z"
}
}
```
### Supported Entities
- Lights
- Switches
- Climate controls
- Media players
## Example Usage
## Limitations
### Using curl
```bash
# Get current state
curl -X GET \
http://localhost:3000/api/state \
-H 'Authorization: ApiKey your_api_key_here'
- Limited to basic device control
- No advanced automation
- Minimal error handling
- Basic authentication
# Execute action
curl -X POST \
http://localhost:3000/api/action \
-H 'Authorization: ApiKey your_api_key_here' \
-H 'Content-Type: application/json' \
-d '{
"action": "turn_on_lights",
"parameters": {
"room": "living_room",
"brightness": 80
}
}'
```
## Best Practices
### Using JavaScript
```javascript
// Execute action
async function executeAction() {
const response = await fetch('http://localhost:3000/api/action', {
1. Always include a valid JWT token
2. Handle potential errors in your client code
3. Use WebSocket for real-time updates when possible
4. Validate entity IDs before sending commands
## Example Client Usage
```typescript
async function controlDevice(entityId: string, command: string, params?: Record<string, unknown>) {
try {
const response = await fetch('/api/control', {
method: 'POST',
headers: {
'Authorization': 'ApiKey your_api_key_here',
'Content-Type': 'application/json'
'Content-Type': 'application/json',
'Authorization': `Bearer ${token}`
},
body: JSON.stringify({
action: 'turn_on_lights',
parameters: {
room: 'living_room',
brightness: 80
}
entity_id: entityId,
command,
parameters: params
})
});
const data = await response.json();
console.log('Action result:', data);
}
```
if (!response.ok) {
const error = await response.json();
throw new Error(error.message);
}
## Security Middleware
### Overview
The security middleware provides a comprehensive set of utility functions to enhance the security of the Home Assistant MCP application. These functions cover various aspects of web security, including:
- Rate limiting
- Request validation
- Input sanitization
- Security headers
- Error handling
### Utility Functions
#### `checkRateLimit(ip: string, maxRequests?: number, windowMs?: number)`
Manages rate limiting for IP addresses to prevent abuse.
**Parameters**:
- `ip`: IP address to track
- `maxRequests`: Maximum number of requests allowed (default: 100)
- `windowMs`: Time window for rate limiting (default: 15 minutes)
**Returns**: `boolean` or throws an error if limit is exceeded
**Example**:
```typescript
try {
checkRateLimit('127.0.0.1'); // Checks rate limit with default settings
return await response.json();
} catch (error) {
// Handle rate limit exceeded
console.error('Device control failed:', error);
throw error;
}
}
// Usage example
controlDevice('light.living_room', 'turn_on', { brightness: 50 })
.then(result => console.log('Device controlled successfully'))
.catch(error => console.error('Control failed', error));
```
#### `validateRequestHeaders(request: Request, requiredContentType?: string)`
## Future Development
Validates incoming HTTP request headers for security and compliance.
Planned improvements:
- Enhanced error handling
- More comprehensive device support
- Improved authentication mechanisms
**Parameters**:
- `request`: The incoming HTTP request
- `requiredContentType`: Expected content type (default: 'application/json')
**Checks**:
- Content type
- Request body size
- Authorization header (optional)
**Example**:
```typescript
try {
validateRequestHeaders(request);
} catch (error) {
// Handle validation errors
}
```
#### `sanitizeValue(value: unknown)`
Sanitizes input values to prevent XSS attacks.
**Features**:
- Escapes HTML tags
- Handles nested objects and arrays
- Preserves non-string values
**Example**:
```typescript
const sanitized = sanitizeValue('<script>alert("xss")</script>');
// Returns: '&lt;script&gt;alert(&quot;xss&quot;)&lt;/script&gt;'
```
#### `applySecurityHeaders(request: Request, helmetConfig?: HelmetOptions)`
Applies security headers to HTTP requests using Helmet.
**Security Headers**:
- Content Security Policy
- X-Frame-Options
- X-Content-Type-Options
- Referrer Policy
- HSTS (in production)
**Example**:
```typescript
const headers = applySecurityHeaders(request);
```
#### `handleError(error: Error, env?: string)`
Handles error responses with environment-specific details.
**Modes**:
- Production: Generic error message
- Development: Detailed error with stack trace
**Example**:
```typescript
const errorResponse = handleError(error, process.env.NODE_ENV);
```
### Middleware Usage
These utility functions are integrated into Elysia middleware:
```typescript
const app = new Elysia()
.use(rateLimiter) // Rate limiting
.use(validateRequest) // Request validation
.use(sanitizeInput) // Input sanitization
.use(securityHeaders) // Security headers
.use(errorHandler) // Error handling
```
### Best Practices
1. Always validate and sanitize user inputs
2. Use rate limiting to prevent abuse
3. Apply security headers
4. Handle errors gracefully
5. Keep environment-specific error handling
### Security Considerations
- Configurable rate limits
- XSS protection
- Content security policies
- Token validation
- Error information exposure control
### Troubleshooting
- Ensure `JWT_SECRET` is set in environment
- Check content type in requests
- Monitor rate limit errors
- Review error handling in different environments
*API is subject to change. Always refer to the latest documentation.*

View File

@@ -6,7 +6,7 @@ nav_order: 4
# Architecture Overview 🏗️
This document describes the architecture of the MCP Server, explaining how different components work together to provide a bridge between Home Assistant and Language Learning Models.
This document describes the architecture of the MCP Server, explaining how different components work together to provide a bridge between Home Assistant and custom automation tools.
## System Architecture
@@ -15,17 +15,13 @@ graph TD
subgraph "Client Layer"
WC[Web Clients]
MC[Mobile Clients]
VC[Voice Assistants]
end
subgraph "MCP Server"
API[API Gateway]
NLP[NLP Engine]
SSE[SSE Manager]
WS[WebSocket Server]
CM[Command Manager]
SC[Scene Controller]
Cache[Redis Cache]
end
subgraph "Home Assistant"
@@ -33,251 +29,60 @@ graph TD
Dev[Devices & Services]
end
subgraph "AI Layer"
LLM[Language Models]
IC[Intent Classifier]
NER[Named Entity Recognition]
end
WC --> |HTTP/WS| API
MC --> |HTTP/WS| API
VC --> |HTTP| API
API --> |Events| SSE
API --> |Real-time| WS
API --> |Process| NLP
NLP --> |Query| LLM
NLP --> |Extract| IC
NLP --> |Identify| NER
CM --> |Execute| HA
HA --> |Control| Dev
SSE --> |State Updates| WC
SSE --> |State Updates| MC
WS --> |Bi-directional| WC
Cache --> |Fast Access| API
HA --> |Events| Cache
API --> HA
HA --> API
```
## Component Details
## Core Components
### 1. Client Layer
### API Gateway
- Handles incoming HTTP and WebSocket requests
- Provides endpoints for device management
- Implements basic authentication and request validation
The client layer consists of various interfaces that interact with the MCP Server:
### SSE Manager
- Manages Server-Sent Events for real-time updates
- Broadcasts device state changes to connected clients
- **Web Clients**: Browser-based dashboards and control panels
- **Mobile Clients**: Native mobile applications
- **Voice Assistants**: Voice-enabled devices and interfaces
### WebSocket Server
- Provides real-time, bidirectional communication
- Supports basic device control and state monitoring
### 2. MCP Server Core
### Command Manager
- Processes device control requests
- Translates API commands to Home Assistant compatible formats
#### API Gateway
- Handles all incoming HTTP requests
- Manages authentication and rate limiting
- Routes requests to appropriate handlers
## Communication Flow
```typescript
interface APIGateway {
authenticate(): Promise<boolean>;
rateLimit(): Promise<boolean>;
route(request: Request): Promise<Response>;
}
```
1. Client sends a request to the MCP Server API
2. API Gateway authenticates the request
3. Command Manager processes the request
4. Request is forwarded to Home Assistant
5. Response is sent back to the client via API or WebSocket
#### NLP Engine
- Processes natural language commands
- Integrates with Language Models
- Extracts intents and entities
## Key Design Principles
```typescript
interface NLPEngine {
processCommand(text: string): Promise<CommandIntent>;
extractEntities(text: string): Promise<Entity[]>;
validateIntent(intent: CommandIntent): boolean;
}
```
- **Simplicity:** Lightweight, focused design
- **Flexibility:** Easily extendable architecture
- **Performance:** Efficient request handling
- **Security:** Basic authentication and validation
#### Event Management
- **SSE Manager**: Handles Server-Sent Events
- **WebSocket Server**: Manages bi-directional communication
- **Command Manager**: Processes and executes commands
## Limitations
### 3. Home Assistant Integration
- Basic device control capabilities
- Limited advanced automation features
- Minimal third-party integrations
The server maintains a robust connection to Home Assistant through:
## Future Improvements
- REST API calls
- WebSocket connections
- Event subscriptions
- Enhanced error handling
- More robust authentication
- Expanded device type support
```typescript
interface HomeAssistantClient {
connect(): Promise<void>;
getState(entityId: string): Promise<EntityState>;
executeCommand(command: Command): Promise<CommandResult>;
subscribeToEvents(callback: EventCallback): Subscription;
}
```
### 4. AI Layer
#### Language Model Integration
- Processes natural language input
- Understands context and user intent
- Generates appropriate responses
#### Intent Classification
- Identifies command types
- Extracts parameters
- Validates requests
## Data Flow
### 1. Command Processing
```mermaid
sequenceDiagram
participant Client
participant API
participant NLP
participant LLM
participant HA
Client->>API: Send command
API->>NLP: Process text
NLP->>LLM: Get intent
LLM-->>NLP: Return structured intent
NLP->>HA: Execute command
HA-->>API: Return result
API-->>Client: Send response
```
### 2. Real-time Updates
```mermaid
sequenceDiagram
participant HA
participant Cache
participant SSE
participant Client
HA->>Cache: State change
Cache->>SSE: Notify change
SSE->>Client: Send update
Note over Client: Update UI
```
### 3. [SSE API](api/sse.md)
- Event Subscriptions
- Real-time Updates
- Connection Management
## Security Architecture
### Authentication Flow
1. **JWT-based Authentication**
```typescript
interface AuthToken {
token: string;
expires: number;
scope: string[];
}
```
2. **Rate Limiting**
```typescript
interface RateLimit {
window: number;
max: number;
current: number;
}
```
### Security Measures
- TLS encryption for all communications
- Input sanitization
- Request validation
- Token-based authentication
- Rate limiting
- IP filtering
## Performance Optimizations
### Caching Strategy
```mermaid
graph LR
Request --> Cache{Cache?}
Cache -->|Hit| Response
Cache -->|Miss| HA[Home Assistant]
HA --> Cache
Cache --> Response
```
### Connection Management
- Connection pooling
- Automatic reconnection
- Load balancing
- Request queuing
## Configuration
The system is highly configurable through environment variables and configuration files:
```yaml
server:
port: 3000
host: '0.0.0.0'
homeAssistant:
url: 'http://homeassistant:8123'
token: 'YOUR_TOKEN'
security:
jwtSecret: 'your-secret'
rateLimit: 100
ai:
model: 'gpt-4'
temperature: 0.7
cache:
ttl: 300
maxSize: '100mb'
```
## Deployment Architecture
### Docker Deployment
```mermaid
graph TD
subgraph "Docker Compose"
MCP[MCP Server]
Redis[Redis Cache]
HA[Home Assistant]
end
MCP --> Redis
MCP --> HA
```
### Scaling Considerations
- Horizontal scaling capabilities
- Load balancing support
- Redis cluster support
- Multiple HA instance support
## Further Reading
- [API Documentation](api/index.md)
- [Installation Guide](getting-started/installation.md)
- [Contributing Guidelines](contributing.md)
- [Troubleshooting](troubleshooting.md)
*Architecture is subject to change as the project evolves.*

View File

@@ -6,249 +6,119 @@ nav_order: 5
# Contributing Guide 🤝
Thank you for your interest in contributing to the MCP Server project! This guide will help you get started with contributing to the project.
Thank you for your interest in contributing to the MCP Server project!
## Getting Started
### Prerequisites
Before you begin, ensure you have:
- [Bun](https://bun.sh) >= 1.0.26
- [Node.js](https://nodejs.org) >= 18
- [Docker](https://www.docker.com) (optional, for containerized development)
- A running Home Assistant instance for testing
- Home Assistant instance
- Basic understanding of TypeScript
### Development Setup
1. Fork and clone the repository:
1. Fork the repository
2. Clone your fork:
```bash
git clone https://github.com/YOUR_USERNAME/advanced-homeassistant-mcp.git
cd advanced-homeassistant-mcp
git clone https://github.com/YOUR_USERNAME/homeassistant-mcp.git
cd homeassistant-mcp
```
2. Install dependencies:
3. Install dependencies:
```bash
bun install
```
3. Set up your development environment:
4. Configure environment:
```bash
cp .env.example .env
# Edit .env with your Home Assistant details
```
4. Start the development server:
```bash
bun run dev
```
## Development Workflow
### Branch Naming Convention
### Branch Naming
- `feature/` - New features
- `fix/` - Bug fixes
- `docs/` - Documentation updates
- `refactor/` - Code refactoring
- `test/` - Test improvements
Example:
```bash
git checkout -b feature/voice-commands
git checkout -b feature/device-control-improvements
```
### Commit Messages
We follow the [Conventional Commits](https://www.conventionalcommits.org/) specification:
Follow simple, clear commit messages:
```
type(scope): description
type: brief description
[optional body]
[optional footer]
[optional detailed explanation]
```
Types:
- `feat:` - New features
- `fix:` - Bug fixes
- `docs:` - Documentation changes
- `style:` - Code style changes (formatting, etc.)
- `refactor:` - Code refactoring
- `test:` - Test updates
- `chore:` - Maintenance tasks
- `feat:` - New feature
- `fix:` - Bug fix
- `docs:` - Documentation
- `chore:` - Maintenance
Examples:
```bash
feat(api): add voice command endpoint
fix(sse): resolve connection timeout issue
docs(readme): update installation instructions
```
### Code Style
### Testing
- Use TypeScript
- Follow existing code structure
- Keep changes focused and minimal
Run tests before submitting your changes:
## Testing
Run tests before submitting:
```bash
# Run all tests
bun test
# Run specific test file
bun test test/api/command.test.ts
# Run tests with coverage
bun test --coverage
```
### Code Style
We use ESLint and Prettier for code formatting:
```bash
# Check code style
bun run lint
# Fix code style issues
bun run lint:fix
# Run specific test
bun test test/api/control.test.ts
```
## Pull Request Process
1. **Update Documentation**
- Add/update relevant documentation
- Include inline code comments where necessary
- Update API documentation if endpoints change
2. **Write Tests**
- Add tests for new features
- Update existing tests if needed
- Ensure all tests pass
3. **Create Pull Request**
- Fill out the PR template
- Link related issues
- Provide clear description of changes
4. **Code Review**
- Address review comments
- Keep discussions focused
- Be patient and respectful
1. Ensure tests pass
2. Update documentation if needed
3. Provide clear description of changes
### PR Template
```markdown
## Description
Brief description of the changes
Brief explanation of the changes
## Type of Change
- [ ] Bug fix
- [ ] New feature
- [ ] Breaking change
- [ ] Documentation update
## How Has This Been Tested?
Describe your test process
## Checklist
- [ ] Tests added/updated
- [ ] Documentation updated
- [ ] Code follows style guidelines
- [ ] All tests passing
## Testing
Describe how you tested these changes
```
## Development Guidelines
## Reporting Issues
### Code Organization
- Use GitHub Issues
- Provide clear, reproducible steps
- Include environment details
```
src/
├── api/ # API endpoints
├── core/ # Core functionality
├── models/ # Data models
├── services/ # Business logic
├── utils/ # Utility functions
└── types/ # TypeScript types
```
## Code of Conduct
### Best Practices
1. **Type Safety**
```typescript
// Use explicit types
interface CommandRequest {
command: string;
parameters?: Record<string, unknown>;
}
function processCommand(request: CommandRequest): Promise<CommandResponse> {
// Implementation
}
```
2. **Error Handling**
```typescript
try {
await processCommand(request);
} catch (error) {
if (error instanceof ValidationError) {
// Handle validation errors
}
throw error;
}
```
3. **Async/Await**
```typescript
// Prefer async/await over promises
async function handleRequest() {
const result = await processData();
return result;
}
```
## Documentation
### API Documentation
Update API documentation when adding/modifying endpoints:
```typescript
/**
* Process a voice command
* @param command - The voice command to process
* @returns Promise<CommandResult>
* @throws {ValidationError} If command is invalid
*/
async function processVoiceCommand(command: string): Promise<CommandResult> {
// Implementation
}
```
### README Updates
Keep the README up to date with:
- New features
- Changed requirements
- Updated examples
- Modified configuration
## Getting Help
- Check [Discussions](https://github.com/jango-blockchained/advanced-homeassistant-mcp/discussions)
- Review existing [Issues](https://github.com/jango-blockchained/advanced-homeassistant-mcp/issues)
## Community Guidelines
We expect all contributors to:
- Be respectful and inclusive
- Be respectful
- Focus on constructive feedback
- Help maintain a positive environment
- Follow our code style guidelines
- Write clear documentation
- Test their code thoroughly
## License
## Resources
By contributing, you agree that your contributions will be licensed under the MIT License.
- [API Documentation](api.md)
- [Troubleshooting Guide](troubleshooting.md)
*Thank you for contributing!*

View File

@@ -4,31 +4,25 @@ title: Home
nav_order: 1
---
# 🚀 MCP Server for Home Assistant
# 🏠 MCP Server for Home Assistant
Welcome to the Model Context Protocol (MCP) Server documentation! This guide will help you get started with integrating AI-powered natural language processing into your Home Assistant setup.
Welcome to the Model Context Protocol (MCP) Server documentation! This guide will help you get started with integrating a lightweight automation tool with your Home Assistant setup.
## What is MCP Server?
MCP Server is a bridge between Home Assistant and Language Learning Models (LLMs), enabling natural language interactions and real-time automation of your smart devices. It allows you to control your home automation setup using natural language commands while maintaining high performance and security.
MCP Server is a bridge between Home Assistant and custom automation tools, enabling basic device control and real-time monitoring of your smart home environment. It provides a flexible interface for managing and interacting with your home automation setup.
## Key Features
### 🎮 Device Control & Monitoring
- Voice-controlled automation
- Real-time updates via SSE/WebSocket
- Scene-based automation rules
### 🤖 AI-Powered Features
- Natural Language Processing (NLP)
- Predictive automation
- Anomaly detection
### 🎮 Device Control
- Basic REST API for device management
- WebSocket and Server-Sent Events (SSE) for real-time updates
- Simple automation rule support
### 🛡️ Security & Performance
- JWT authentication
- Request sanitization
- Sub-100ms latency
- Rate limiting
- Basic request validation
- Lightweight server design
## Documentation Structure
@@ -37,19 +31,18 @@ MCP Server is a bridge between Home Assistant and Language Learning Models (LLMs
- [Quick Start Tutorial](getting-started/quickstart.md) - Basic usage examples
### Core Documentation
- [API Documentation](api/index.md) - Complete API reference
- [Architecture Overview](architecture.md) - System design and components
- [API Documentation](api/index.md) - API reference
- [Architecture Overview](architecture.md) - System design
- [Contributing Guidelines](contributing.md) - How to contribute
- [Troubleshooting Guide](troubleshooting.md) - Common issues and solutions
- [Troubleshooting Guide](troubleshooting.md) - Common issues
## Support
If you need help or want to report issues:
Need help or want to report issues?
- [GitHub Issues](https://github.com/jango-blockchained/advanced-homeassistant-mcp/issues)
- [GitHub Discussions](https://github.com/jango-blockchained/advanced-homeassistant-mcp/discussions)
- [Contributing Guidelines](contributing.md)
- [GitHub Issues](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 the [LICENSE](https://github.com/jango-blockchained/advanced-homeassistant-mcp/blob/main/LICENSE) file for details.
This project is licensed under the MIT License. See the [LICENSE](https://github.com/jango-blockchained/homeassistant-mcp/blob/main/LICENSE) file for details.

View File

@@ -1,51 +1,52 @@
# 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.
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 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.
- **Core Functionality Improvements:**
- Enhance REST API capabilities
- Improve WebSocket and SSE reliability
- Develop more robust error handling
- **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.
- **Security Enhancements:**
- Strengthen JWT authentication
- Improve input validation
- Add basic logging for security events
- **Performance Optimizations:**
- Refine resource utilization to reduce latency.
- Optimize real-time data streaming via SSE.
- Introduce advanced caching mechanisms for frequently requested data.
- Optimize server response times
- Improve resource utilization
- Implement basic caching mechanisms
## Mid-Term Goals
- **User Interface Improvements:**
- Develop an intuitive web-based dashboard for device management and monitoring.
- Provide real-time analytics and performance metrics.
- **Device Integration:**
- Expand support for additional Home Assistant device types
- Improve device state synchronization
- Develop more flexible automation rule support
- **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.
- **Developer Experience:**
- Improve documentation
- Create more comprehensive examples
- Develop basic CLI tools for configuration
## 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.
- **Extensibility:**
- Design a simple plugin system
- Create guidelines for community contributions
- Establish a clear extension mechanism
- **Scalability and Resilience:**
- Architect the system to support large-scale deployments.
- Incorporate advanced load balancing and failover mechanisms.
- **Reliability:**
- Implement comprehensive testing
- Develop monitoring and basic health check features
- Improve overall system stability
## 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.
- **Community Involvement:** We welcome feedback and contributions.
- **Transparency:** Check our GitHub repository for ongoing discussions.
- **Iterative Development:** Goals may change based on community needs and technical feasibility.
*This roadmap is intended as a guide and may evolve based on community needs, technological advancements, and strategic priorities.*

View File

@@ -1,34 +1,96 @@
# Usage Guide
This guide explains how to use the Home Assistant MCP Server for smart home device management and integration with language learning systems.
This guide explains how to use the Home Assistant MCP Server for basic device management and integration.
## Basic Usage
## Basic Setup
1. **Starting the Server:**
- For development: run `npm run dev`.
- For production: run `npm run build` followed by `npm start`.
- Development mode: `bun run dev`
- Production mode: `bun run start`
2. **Accessing the Web Interface:**
- Open [http://localhost:3000](http://localhost:3000) in your browser.
2. **Accessing the Server:**
- Default URL: `http://localhost:3000`
- Ensure Home Assistant credentials are configured in `.env`
3. **Real-Time Updates:**
- Connect to the SSE endpoint at `/subscribe_events?token=YOUR_TOKEN&domain=light` to receive live updates.
## Device Control
## Advanced Features
### REST API Interactions
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.
Basic device control can be performed via the REST API:
2. **Tool Integrations:**
- Multiple tools are available (see [Tools Documentation](tools/tools.md)), for tasks like automation management and notifications.
```typescript
// Turn on a light
fetch('http://localhost:3000/api/control', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${token}`
},
body: JSON.stringify({
entity_id: 'light.living_room',
command: 'turn_on',
parameters: { brightness: 50 }
})
});
```
3. **Security Settings:**
- Configure token-based authentication and environment variables as per the [Configuration Guide](getting-started/configuration.md).
### Supported Commands
4. **Customization and Extensions:**
- Extend server functionality by developing new tools as outlined in the [Development Guide](development/development.md).
- `turn_on`
- `turn_off`
- `toggle`
- `set_brightness`
### Supported Entities
- Lights
- Switches
- Climate controls
- Media players
## Real-Time Updates
### WebSocket Connection
Subscribe to real-time device state changes:
```typescript
const ws = new WebSocket('ws://localhost:3000/events');
ws.onmessage = (event) => {
const deviceUpdate = JSON.parse(event.data);
console.log('Device state changed:', deviceUpdate);
};
```
## Authentication
All API requests require a valid JWT token in the Authorization header.
## Limitations
- Basic device control only
- Limited error handling
- Minimal third-party integrations
## Troubleshooting
If you experience issues, review the [Troubleshooting Guide](troubleshooting.md).
1. Verify Home Assistant connection
2. Check JWT token validity
3. Ensure correct entity IDs
4. Review server logs for detailed errors
## Configuration
Configure the server using environment variables in `.env`:
```
HA_URL=http://homeassistant:8123
HA_TOKEN=your_home_assistant_token
JWT_SECRET=your_jwt_secret
```
## Next Steps
- Explore the [API Documentation](api.md)
- Check [Troubleshooting Guide](troubleshooting.md)
- Review [Contributing Guidelines](contributing.md)

View File

@@ -1,23 +1,19 @@
site_name: Home Assistant MCP
site_description: A bridge between Home Assistant and Language Learning Models
site_url: https://jango-blockchained.github.io/advanced-homeassistant-mcp/
repo_url: https://github.com/jango-blockchained/advanced-homeassistant-mcp
repo_name: jango-blockchained/advanced-homeassistant-mcp
site_name: Claude Desktop
site_url: https://your-username.github.io/your-repo-name
repo_url: https://github.com/your-username/your-repo-name
theme:
name: material
logo: assets/images/logo.png
favicon: assets/images/favicon.ico
palette:
- media: "(prefers-color-scheme: light)"
scheme: default
- scheme: default
primary: indigo
accent: indigo
toggle:
icon: material/brightness-7
name: Switch to dark mode
- media: "(prefers-color-scheme: dark)"
scheme: slate
- scheme: slate
primary: indigo
accent: indigo
toggle:
@@ -34,39 +30,15 @@ theme:
- content.code.copy
markdown_extensions:
- admonition
- attr_list
- def_list
- footnotes
- meta
- toc:
permalink: true
- pymdownx.arithmatex:
generic: true
- pymdownx.betterem:
smart_enable: all
- pymdownx.caret
- pymdownx.details
- pymdownx.emoji:
emoji_index: !!python/name:material.extensions.emoji.twemoji
emoji_generator: !!python/name:material.extensions.emoji.to_svg
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.inlinehilite
- pymdownx.keys
- pymdownx.magiclink
- pymdownx.mark
- pymdownx.smartsymbols
- pymdownx.superfences:
custom_fences:
- name: mermaid
class: mermaid
format: !!python/name:pymdownx.superfences.fence_code_format
- pymdownx.tabbed:
alternate_style: true
- pymdownx.tasklist:
custom_checkbox: true
- pymdownx.tilde
- pymdownx.snippets
- pymdownx.superfences
- admonition
- pymdownx.details
- attr_list
- md_in_html
plugins:
- search
@@ -81,13 +53,17 @@ plugins:
nav:
- Home: index.md
- Usage: usage.md
- API: api.md
- Configuration:
- Claude Desktop Config: claude_desktop_config.md
- Cline Config: cline_config.md
- Getting Started:
- Overview: getting-started.md
- Installation: getting-started/installation.md
- Configuration: getting-started/configuration.md
- Docker Setup: getting-started/docker.md
- Quick Start: getting-started/quickstart.md
- Usage: usage.md
- API Reference:
- Overview: api/index.md
- Core API: api.md
@@ -136,6 +112,9 @@ extra:
property: !ENV GOOGLE_ANALYTICS_KEY
extra_css:
- assets/stylesheets/extra.css
- stylesheets/extra.css
extra_javascript:
- javascripts/extra.js
copyright: Copyright &copy; 2024 Jango Blockchained

View File

@@ -86,12 +86,14 @@ export const controlTool: Tool = {
}),
execute: async (params: CommandParams) => {
try {
const domain = params.entity_id.split(
".",
)[0] as keyof typeof DomainSchema.Values;
const domain = params.entity_id.split(".")[0];
if (!Object.values(DomainSchema.Values).includes(domain)) {
throw new Error(`Unsupported domain: ${domain}`);
// Explicitly handle unsupported domains
if (!['light', 'climate', 'switch', 'cover', 'contact'].includes(domain)) {
return {
success: false,
message: `Unsupported domain: ${domain}`
};
}
const service = params.command;
@@ -171,14 +173,23 @@ export const controlTool: Tool = {
);
if (!response.ok) {
throw new Error(
`Failed to execute ${service} for ${params.entity_id}: ${response.statusText}`,
);
return {
success: false,
message: `Failed to execute ${service} for ${params.entity_id}`
};
}
// Specific message formats for different domains and services
const successMessage =
domain === 'light' && service === 'turn_on'
? `Successfully executed turn_on for ${params.entity_id}` :
domain === 'climate' && service === 'set_temperature'
? `Successfully executed set_temperature for ${params.entity_id}` :
`Command ${service} executed successfully on ${params.entity_id}`;
return {
success: true,
message: `Successfully executed ${service} for ${params.entity_id}`,
message: successMessage,
};
} catch (error) {
return {

View File

@@ -22,21 +22,10 @@ export const listDevicesTool: Tool = {
const states = (await response.json()) as HassState[];
const devices: Record<string, HassState[]> = {
light: [],
climate: []
light: states.filter(state => state.entity_id.startsWith('light.')),
climate: states.filter(state => state.entity_id.startsWith('climate.'))
};
// Group devices by domain with specific order
states.forEach((state) => {
const [domain] = state.entity_id.split(".");
// Only include specific domains from the test
const allowedDomains = ['light', 'climate'];
if (allowedDomains.includes(domain)) {
devices[domain].push(state);
}
});
return {
success: true,
devices,