MCP Servers

What is MCP Servers?

A collection of Model Context Protocol (MCP) server implementations in Python, Go, and Rust for use with VS Code and other MCP clients. It enables AI agents to interact with tools and services through a standardized interface.

How to use MCP Servers?

Install Docker and Docker Compose, then run docker-compose up to start all servers, or docker-compose up mcp-python for just the Python server. For VS Code integration, add the server URL and auto‑connect settings to settings.json.

Key features of MCP Servers

• Python server is production‑ready with comprehensive features
• SSE and JSON‑RPC endpoints for real‑time communication
• Prometheus metrics and health checks for monitoring
• Go server with PostgreSQL and code assistance features
• Rust server focused on Terraform integration via tfmcp
• Docker Compose orchestration for multi‑server deployment

Use cases of MCP Servers

• AI agent communication with external tools via a standard protocol
• Real‑time AI assistance inside VS Code
• Terraform infrastructure management through AI
• Multi‑language server deployment and monitoring

FAQ from MCP Servers

What is MCP?

The Model Context Protocol is a protocol designed for communication between AI agents and tools/services, enabling AI systems to interact via a standardized interface.

Which servers are production‑ready?

Only the Python MCP server is marked as production‑ready; the Go and Rust servers are still in progress.

How do I run the servers?

Run docker-compose up to start all servers, or docker-compose up mcp-python for just the Python server. Docker and Docker Compose are required.

How do I integrate with VS Code?

Add the following to VS Code settings.json: "mcp.python.serverUrl": "http://localhost:8080" and "mcp.python.enableAutoConnect": true.

What endpoints does the Python server provide?

It provides GET /health for health checks, GET /sse for Server‑Sent Events, and POST / for JSON‑RPC requests.