mcp2tcp
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mcp2tcp connects TCP devices with AI large models, enabling the control of hardware through natural language using the Model Context Protocol. The project supports various AI models and MCP protocol clients, offering features like smart TCP communication and full MCP integration.
mcp2tcp: The Bridge Between Physical World and AI Models
- Project Vision: mcp2tcp connects TCP devices to AI large models using the Model Context Protocol (MCP), enabling natural language control over hardware.
- Allows hardware to understand and execute complex commands through natural language.
- Main Features:
- Smart TCP communication with automatic detection and configuration.
- Full integration with the Model Context Protocol, supporting resource management, tool invocation.
- Supported Clients: Compatible with MCP protocol clients like Claude Desktop, Continue, Cline, Zed, Sourcegraph Cody, and Firebase Genkit.
- Supported AI Models: Works with cloud models (OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock) and local models (LM Studio, Ollama).
- Quick Start: Installation scripts provided for different operating systems with detailed setup instructions.
Documentation
- Installation Guide
- API Documentation
- Configuration Instructions