Mcp2tcp bridges the gap between the physical world and AI Large Language Models by enabling TCP devices to connect via the Model Context Protocol (MCP). It allows users to control hardware devices with natural language, receive real-time AI responses that adjust physical parameters, and equip devices with the ability to understand and execute complex instructions. By integrating MCP, mcp2tcp supports resource management, tool calling, and a flexible prompting system, making it compatible with various MCP clients like Claude Desktop and Continue, and AI models including OpenAI's GPT series, Anthropic Claude, and local models through LM Studio and Ollama.
Key Features
01Full support for the Model Context Protocol (MCP)
02Supports multiple baud rates
03Flexible prompting system for customized interactions
042 GitHub stars
05Intelligent TCP communication with auto-detection and configuration
06Real-time status monitoring and error handling
