bluetooth-mcp-server

The Bluetooth MCP Server is a powerful tool for detecting Bluetooth devices and interacting with AI assistants. Built on a Test-Driven Development approach, it supports scanning for both BLE and Classic Bluetooth devices. With flexible filtering options and automatic device recognition, users can easily manage Bluetooth devices in their vicinity.

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README
Bluetooth MCP Server

Bluetooth Logo
License: MIT
Python Version
FastAPI
TDD

Model Context Protocol Server for Bluetooth Device Detection

๐Ÿ” Overview

This project implements a Model Context Protocol (MCP) server that enables Claude and other AI assistants to scan and interact with Bluetooth devices in your vicinity. Built with a Test-Driven Development approach, it provides a robust, tested interface for Bluetooth operations across multiple platforms.

โœจ Features
  • ๐Ÿ“ก Multi-protocol scanning: Detect both BLE and Classic Bluetooth devices
  • ๐Ÿ”Ž Flexible filtering: Filter devices by name, type, or other attributes
  • ๐Ÿ”„ Automatic device recognition: Identify and categorize common devices (like Freebox, TVs, etc.)
  • ๐Ÿ“ฑ Enhanced device information: Get manufacturer info, device type, and detailed characteristics
  • ๐Ÿ–ฅ๏ธ Cross-platform support: Works on Windows, macOS, and Linux
  • โšก Platform-specific optimizations: Enhanced detection capabilities on Windows
  • ๐Ÿค– MCP Integration: Seamless integration with Claude and compatible AI assistants
๐Ÿ“‹ Requirements
  • Python 3.7+
  • Bluetooth adapter (built-in or external)
  • Admin/sudo privileges (required for some Bluetooth operations)
  • Internet connection (for package installation)
๐Ÿš€ Quick Start
Installation
# Clone the repository
git clone https://github.com/yourusername/bluetooth-mcp-server.git
cd bluetooth-mcp-server

# Create and activate virtual environment
python -m venv venv

# On Windows
venv\Scripts\activate
# On macOS/Linux
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Configure environment variables
cp .env.example .env
# Edit the .env file as needed
Running the Server
# Start the Bluetooth API server
python run.py

# In another terminal, start the MCP server
python bluetooth_mcp_server.py
Using with Claude
  1. Expose your server to the internet using ngrok or deploy it to a server:

    ngrok http 8000
    
  2. Configure Claude to use your MCP server:

    npx @anthropic-ai/sdk install-model-context-protocol <YOUR_SERVER_URL>
    
  3. Ask Claude to scan for Bluetooth devices:

    Could you scan for nearby Bluetooth devices?
    
๐Ÿงช Testing

This project follows a Test-Driven Development (TDD) approach with comprehensive test coverage:

# Run all tests
pytest

# Run specific test categories
pytest tests/api/       # API tests
pytest tests/models/    # Data model tests
pytest tests/services/  # Service logic tests
pytest tests/utils/     # Utility function tests
๐Ÿ—๏ธ Architecture

The project follows a modular architecture with clear separation of concerns:

bluetooth-mcp-server/
โ”œโ”€โ”€ app/                # Main application package
โ”‚   โ”œโ”€โ”€ api/            # FastAPI endpoints
โ”‚   โ”œโ”€โ”€ core/           # Core configuration
โ”‚   โ”œโ”€โ”€ data/           # Static data (Bluetooth identifiers, etc.)
โ”‚   โ”œโ”€โ”€ models/         # Data models
โ”‚   โ”œโ”€โ”€ services/       # Business logic
โ”‚   โ””โ”€โ”€ utils/          # Utility functions
โ”œโ”€โ”€ mcp_sdk/            # MCP integration SDK
โ””โ”€โ”€ tests/              # Test suites

For detailed architecture information, see architecture.md.

๐Ÿ”ง Troubleshooting
Bluetooth Issues
  • "Access denied" errors: Run the server with admin/sudo privileges
  • Adapter not detected: Ensure Bluetooth is enabled in your system settings
  • No devices found: Make sure there are discoverable Bluetooth devices nearby
  • Windows-specific issues: Check that Bluetooth services are active (services.msc)
MCP Issues
  • Tool not detected by Claude: Verify your MCP server URL is correct and accessible
  • Execution errors: Check the server logs for detailed error information
๐Ÿ‘ฅ Contributing

Contributions are welcome! Please follow these steps:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Write tests for your feature
  4. Implement your feature
  5. Ensure all tests pass
  6. Commit your changes (git commit -m 'Add amazing feature')
  7. Push to the branch (git push origin feature/amazing-feature)
  8. Open a Pull Request
๐Ÿ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

๐Ÿ™ Acknowledgements