mcp2serial
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MCP2Serial is a tool designed to connect serial devices with AI models using the Model Context Protocol. It enables natural language control over hardware and allows AI to respond and adjust settings in real-time. The project aims to simplify integration between physical devices and AI through innovative features and broad compatibility.
MCP2Serial: Bridging the Physical World and AI Models
Project Vision
MCP2Serial connects serial port devices to AI models through the Model Context Protocol (MCP), enabling seamless interaction with AI models.
- Control hardware with natural language
- AI responds and adjusts physical parameters in real-time
- Equip devices with the ability to understand and execute complex instructions
Key Features
- Intelligent Serial Communication
- Auto-detection and configuration of serial devices
- Supports multiple baud rates
- Real-time status monitoring and error handling
- MCP Protocol Integration
- Full support for MCP
- Resource management and tool invocation
- Flexible prompt system
Supported Clients
MCP2Serial supports all clients implementing the MCP protocol, including Claude Desktop, Continue, Cline, Zed, Sourcegraph Cody, and Firebase Genkit.
Supported AI Models
MCP2Serial collaborates with various AI models, both cloud-based and local.
- Cloud Models: OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, Azure OpenAI, Google Cloud Vertex AI
- Local Models: LM Studio and Ollama supported models, and any compatible with OpenAI API
Quick Start
- Download and run the installation script for Windows, macOS, or Ubuntu/Raspberry Pi
- Use the sample
config.yamlfor configurations with different levels of complexity