MCP Server Cookiecutter Template

What is MCP Server Cookiecutter Template?

The MCP Server Cookiecutter Template is a comprehensive template for creating Model Context Protocol (MCP) servers using Python. It provides a structured way to set up projects that can expose tools, resources, and prompts for Large Language Models (LLMs).

How to use MCP Server Cookiecutter Template?

To use the template, install Cookiecutter, then generate a new MCP server project by running:

cookiecutter gh:shubhamgupta-dat/mcp-server-template

After generating the project, navigate to the project directory, set up the environment, and run the server in development mode.

Key features of MCP Server Cookiecutter Template?

• Complete project structure with pre-configured components
• Sample implementations of tools, resources, and prompts
• FastMCP integration for easy development
• Lifecycle management for resource initialization and cleanup
• Modern Python practices with type hints and documentation
• Docker support for containerized deployment
• Integration with Claude Desktop for testing

Use cases of MCP Server Cookiecutter Template?

1. Creating custom MCP servers for AI applications.
2. Developing tools and resources for LLMs.
3. Building reusable prompt templates for various tasks.

FAQ from MCP Server Cookiecutter Template?

• What is Model Context Protocol (MCP)?
  MCP is an open standard that allows applications to provide context for LLMs in a standardized way.
• Is this template suitable for beginners?
  Yes! The template is designed to be user-friendly and includes sample implementations to help you get started.
• Can I customize the generated project?
  Absolutely! You can modify the generated files to suit your specific needs.