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MCP.so
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MCP Servers

@cploutarchou

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

cploutarchou

MCP Servers について

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 の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP Servers のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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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