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MCP Server Cookiecutter Template

@shubhamgupta-dat

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基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

shubhamgupta-dat

MCP Server Cookiecutter Template について

Easy Manageable Way to create your own MCP Server

#mcp-server#cookiecutter#python

MCP Server Cookiecutter Template 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-template-shubhamgupta-dat": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Server Cookiecutter Template 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 Cookiecutter Template?

A Cookiecutter template for creating Model Context Protocol (MCP) servers with Python. It provides a complete project structure with sample implementations of tools, resources, and prompts, and integrates FastMCP, Docker, and Claude Desktop.

How to use MCP Server Cookiecutter Template?

Install Cookiecutter, then run cookiecutter gh:shubhamgupta-dat/mcp-server-cookiecutter. Navigate to the generated project, run make setup, activate the virtual environment, and use make dev for development or make install to add it to Claude Desktop.

Key features of MCP Server Cookiecutter Template

  • Complete project structure pre-configured for MCP servers
  • Sample implementations of tools, resources, and prompts
  • FastMCP integration for decorator-based development
  • Lifecycle management with resource initialization and cleanup
  • Modern Python practices with type hints and documentation
  • Docker support for containerized deployment

Use cases of MCP Server Cookiecutter Template

  • Create a custom MCP server to provide real‑time data to Claude
  • Build tools that let LLMs interact with external APIs
  • Set up a reusable project with standardized prompts and resources
  • Quickly scaffold a production‑ready MCP server with testing and Docker

よくある質問

1

What is MCP (Model Context Protocol)?

MCP is an open standard that lets applications provide context for LLMs like Claude in a standardized way, exposing Tools, Resources, and Prompts.

2

What are the prerequisites?

Python 3.12+ and Cookiecutter installed via pip (`pip install cookiecutter`).

3

How can I test my generated server?

Run `make test` in the project directory to execute tests with pytest.

4

How do I run the server in Docker?

Use `make docker-build` to build the image and `make docker-run` to run the container on port 8000.

5

How is the server configured?

Via environment variables prefixed with `MCP_` (e.g., `MCP_API_KEY`) or a config file specified by the `MCP_CONFIG_FILE` environment variable.

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