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MCP Server Cookiecutter Template

@shubhamgupta-dat

Repository

Basic information

Category

Developer Tools

Transports

stdio

Author

shubhamgupta-dat

About MCP Server Cookiecutter Template

Easy Manageable Way to create your own MCP Server

#mcp-server#cookiecutter#python

MCP Server Cookiecutter Template config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-template-shubhamgupta-dat": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MCP Server Cookiecutter Template tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

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