This MCP server detects and interacts with nearby Bluetooth devices, supporting BLE and classic protocols, and integrates seamlessly with AI assistants such as Claude.
Added on:
Created by:
Apr 24 2025
This MCP server detects and interacts with nearby Bluetooth devices, supporting BLE and classic protocols, and integrates seamlessly with AI assistants such as Claude.
Added on:
Created by:
Apr 24 2025
Hypijump31
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What is Model Context Protocol Server for Bluetooth Device Detection?
The Bluetooth MCP server provides a comprehensive interface for discovering and interacting with Bluetooth devices in the vicinity. It supports multi-protocol scanning, filtering, and detailed device recognition, making it ideal for AI integrations like Claude. Built on a modular architecture, it supports cross-platform operation on Windows, macOS, and Linux, ensuring robust performance across systems. Its features include automatic device categorization, detailed device info retrieval, and platform-specific optimizations, making it suitable for intelligent device management, proximity detection, and automation scenarios. The server also offers easy deployment and configuration for seamless integration with various AI and automation tools.
Who will use Model Context Protocol Server for Bluetooth Device Detection?
- AI developers
- Home automation enthusiasts
- Bluetooth device management systems
- Researchers working with Bluetooth proximity data
How to use the Model Context Protocol Server for Bluetooth Device Detection?
- Step1: Clone the repository from GitHub
- Step2: Set up a Python environment and install dependencies
- Step3: Configure environment variables as needed
- Step4: Run the server using the provided script
- Step5: Connect your AI assistant or application to the MCP server URL
- Step6: Issue device scanning commands through the AI or client interface
Model Context Protocol Server for Bluetooth Device Detection's Core Features & Benefits
The Core Features
- Multi-protocol Bluetooth scanning
- Filtering devices by attributes
- Automatic device recognition
- Enhanced device info retrieval
- Cross-platform support
- Platform-specific optimizations
- MCP integration for AI assistants
The Benefits
- Accurate and comprehensive Bluetooth device detection
- Supports automation and AI integration
- Platform-independent operation
- Easy to deploy and use
- Provides detailed device insights
Model Context Protocol Server for Bluetooth Device Detection's Main Use Cases & Applications
- Smart home automation systems
- Proximity-based device interactions
- Bluetooth device inventory management
- AI-powered environmental interaction
FAQs of Model Context Protocol Server for Bluetooth Device Detection
Developer
- Hypijump31
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