Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.
Overview
What is MCP Servers?
MCP Servers is a collection of production-ready Model Context Protocol (MCP) servers implemented in Python, Go, and Rust, designed for integration with VS Code and other MCP clients. It enables AI systems to communicate with various tools and services through standardized interfaces.
How to use MCP Servers?
To use MCP Servers, ensure you have Docker and Docker Compose installed. You can run all servers using the command docker-compose up, or run the Python server specifically with docker-compose up mcp-python.
Key features of MCP Servers?
- Production-ready Python MCP server with comprehensive features.
- In-progress Go and Rust MCP servers for future development.
- Supports real-time communication via Server-Sent Events (SSE).
- Provides JSON-RPC endpoints for interaction.
- Health checks and Prometheus metrics for monitoring.
Use cases of MCP Servers?
- Enabling AI agents to interact with various tools and services.
- Integrating AI functionalities into development environments like VS Code.
- Facilitating communication between different AI systems and services.
FAQ from MCP Servers?
- What is the status of the Go and Rust servers?
Both the Go and Rust servers are currently in progress and require further development.
- Can I contribute to the MCP Servers project?
Yes! Contributions are welcome, including improvements to existing implementations and documentation.
- What are the prerequisites for running MCP Servers?
You need Docker, Docker Compose, and VS Code for client integration.