Cookiecutter Template MCP Server

Easy Manageable Way to create your own MCP Server

Local serverstdioPython

What is the Cookiecutter Template MCP Server?

Easy Manageable Way to create your own MCP Server

What the server does

This is a Model Context Protocol (MCP) server that exposes tools, resources, and prompts for use with LLM applications like Claude. MCP servers let you extend AI applications with custom functionality, data sources, and templated interactions.

Model Context Protocol (MCP) is an open standard that lets applications provide context for Large Language Models (LLMs) like Claude in a standardized way. MCP servers can expose: - Tools: Functions that LLMs can execute to perform actions - Resources: Data sources that LLMs can access for context - Prompts: Reusable templates for LLM interactions

  • 🚀 Complete project structure with all necessary components pre-configured
  • 🔧 Sample implementations of tools, resources, and prompts
  • 📦 FastMCP integration for simple decorator-based development
  • 🧩 Lifecycle management with proper resource initialization and cleanup
  • 🐍 Modern Python practices with type hints and documentation
  • 🛠️ Development tools including Makefile, testing, and type checking

Credentials and setup notes

  • Python 3.12+ - Cookiecutter

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Maintainer setup documentation.

How to install the Cookiecutter Template MCP Server

{
  "mcpServers": {
    "server-template-shubhamgupta-dat": {
      "command": "uvx",
      "args": ["cookiecutter"],
      "env": {
        "MCP_API_KEY": "your-value",
        "MCP_DATABASE__HOST": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

  • Python 3.12+ - Cookiecutter
VariableDescriptionRequired
MCP_API_KEYCredential the server authenticates with.Yes
MCP_DATABASE__HOSTEndpoint or connection string the server talks to.Optional

Example prompts to try

  • “Use Cookiecutter Template to Requirements.”

Frequently asked questions

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