MCP Server Cookiecutter Template
@shubhamgupta-dat
MCP Server Cookiecutter Template について
Easy Manageable Way to create your own MCP Server
基本情報
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"
]
}
}
}ツール
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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
FAQ from MCP Server Cookiecutter Template
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.
What are the prerequisites?
Python 3.12+ and Cookiecutter installed via pip (pip install cookiecutter).
How can I test my generated server?
Run make test in the project directory to execute tests with pytest.
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.
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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