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MCP Server Python

@lucianoayres

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

lucianoayres

MCP Server Python について

概要はまだありません

MCP Server Python 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-python-lucianoayres": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

MCP Server Python 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 Server Python?

Mcp Server Python is an MCP (Model Context Protocol) server built in Python that exposes two basic tools—adding numbers and retrieving an environment variable—for use by LLM-based IDEs such as Cursor AI. It demonstrates how to integrate custom tool functionality into AI-assisted development environments via the standard MCP framework.

How to use Mcp Server Python?

Install the MCP package and CLI extension (pip install mcp mcp[cli]), then run the server locally with mcp dev mcp-server.py. For integration with Cursor AI, configure a mcp.json file with absolute paths to the Python executable and server script, optionally adding environment variables like API_KEY. Once integrated, invoke the tools using natural language prompts (e.g., “add 3 and 5” or “what is my API key?”) in Cursor Composer.

Key features of Mcp Server Python

  • Exposes tools to LLM-based IDEs via MCP.
  • Provides an addition tool summing two numbers.
  • Retrieves API key from the environment variable.
  • Supports CLI for local development and testing.
  • Uses standard I/O transport for seamless communication.
  • Configurable via mcp.json for Cursor AI integration.

Use cases of Mcp Server Python

  • Perform arithmetic calculations via natural language in Cursor Composer.
  • Retrieve environment-specific API keys securely through AI prompts.
  • Prototype and test MCP server functionality locally.
  • Extend AI development environments with custom tool integrations.

よくある質問

1

What dependencies are required to run Mcp Server Python?

Python 3.8 or higher, and the MCP package with CLI extension (`pip install mcp mcp[cli]`).

2

How do I test the server locally?

Run `mcp dev mcp-server.py` and use the provided browser interface to connect, list templates, and test tools.

3

How do I integrate with Cursor AI?

Create or update the `mcp.json` file with absolute paths to your Python executable and server script, and optionally define environment variables like `API_KEY`.

4

What tools are included?

The server includes two tools: `add` (returns the sum of two numbers) and `getApiKey` (returns the value of the `API_KEY` environment variable).

5

What transport does the server use?

It uses standard I/O transport for communication with development environments.

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