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MCP Servers

@cploutarchou

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

cploutarchou

关于 MCP Servers

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.

#python#rust#golang#terraform#developer-tools#fastapi#ai-tools#model-context-protocol#mcp-protocol#vscode-integration

MCP Servers 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Servers 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

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.

2

Which servers are production‑ready?

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

3

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.

4

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`.

5

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.

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