This MCP server delivers a Model Context Protocol interface for Bluetooth device detection and interaction. Built with a test-driven approach, it provides a robust, extensible API to discover, identify, and query nearby Bluetooth devices across platforms. It supports multi-protocol scanning (BLE and Classic Bluetooth), enabling flexible filtering by name, type, or other attributes. The server automatically recognizes common devices and categorizes them, and enriches results with manufacturer information, device type, and detailed characteristics. It is cross-platform, running on Windows, macOS, and Linux, with platform-specific optimizations for Windows. The architecture is modular (app core, data, models, services, utils) and integrates with the MCP SDK to expose device discovery and control to Claude and compatible AI assistants. The project follows a Test-Driven Development workflow, with comprehensive tests and clear separation of concerns. It requires Python 3.7+, a Bluetooth adapter, admin privileges for certain operations, and internet access for packaging. It uses Bleak for Bluetooth operations and FastAPI for API endpoints.