mcp2serial
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MCP2Serial bridges physical devices with AI models using the Model Context Protocol (MCP), enabling natural language control of hardware.
MCP2Serial is a project that connects serial devices to AI models through the Model Context Protocol (MCP), allowing seamless interaction between the physical world and AI. The project aims to enable natural language control of hardware devices, real-time AI response and adjustment of physical parameters, and the ability for devices to understand and execute complex instructions. It supports various AI models and clients, making it versatile for different applications such as smart home automation, industrial automation, education, and research. The project is designed to be easily integrated with existing systems and provides a flexible configuration system to accommodate different hardware and communication protocols.
Features
- Intelligent Serial Communication: Automatically detects and configures serial devices, supports multiple baud rates, and provides real-time status monitoring and error handling.
- MCP Protocol Integration: Fully supports the Model Context Protocol, including resource management and tool invocation, with a flexible prompt system.
- Client Support: Supports all clients implementing the MCP protocol, including Claude Desktop, Continue, Cline, Zed, Sourcegraph Cody, and Firebase Genkit.
