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MCP 学习项目

@uoky5217

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

uoky5217

MCP 学习项目 について

个人学习MCP

MCP 学习项目 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "Mcp-Server-Study": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

MCP 学习项目 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 学习项目⚡?

MCP 学习项目⚡ is a learning project based on the Model Context Protocol (MCP) that demonstrates how to implement an MCP Server. It includes a FastAPI-based API server simulating a Java backend with basic arithmetic operations (addition, subtraction, multiplication, division), and two MCP server implementations — one using the stdio transport and another using the SSE (Server-Sent Events) transport. The project is intended for developers who want to learn MCP server development and testing.

How to use MCP 学习项目⚡?

To use the stdio mode, first run python main.py in the api_server directory to start the API service, then configure the MCP server in Cline with the provided stdio transport configuration. For SSE mode, after starting the API service, run python remote_server.py in the mcp_server directory to start the MCP server, then configure Cline with the SSE transport URL (http://127.0.0.1:8001/sse). In both cases, test the MCP server inside the Cline plugin.

Key features of MCP 学习项目⚡

  • Arithmetic toolset: add, subtract, multiply, divide
  • SSE-based real‑time message transport
  • Async HTTP client (HTTPX) support
  • Strong type input validation
  • Two transport implementations: stdio and SSE

Use cases of MCP 学习项目⚡

  • Learning how to build and configure an MCP Server
  • Practicing MCP integration with the Cline plugin
  • Understanding the difference between stdio and SSE transports
  • Writing and running pytest unit tests for API endpoints

よくある質問

1

What transport modes does MCP 学习项目⚡ support?

It supports two transport modes: stdio (local invocation via command line) and SSE (remote server using Uvicorn on port 8001).

2

What are the runtime dependencies?

Python 3.10+, the uv package manager, and dependencies listed in `requirements.txt`: Starlette (framework), Uvicorn (server), HTTPX (HTTP client), and the MCP Server‑Sent Transports library.

3

Where does the data live?

Data is simulated locally by the FastAPI API server; no external database is used. The API server runs on port 8000 and handles arithmetic requests.

4

Are there any limitations?

The project currently implements only basic arithmetic operations (add, subtract, multiply, divide). It is a learning project, not intended for production use.

5

How is authentication handled?

The README does not mention any authentication mechanisms for the MCP or API servers.

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