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Mcp Cookie Cutter
What is Mcp Cookie Cutter
mcp-cookie-cutter is a cookiecutter template designed for creating new MCP (Model Control Protocol) servers. It provides a structured way to generate a fully functional MCP server with standard input/output and Server-Sent Events (SSE) support, exemplified by a simple echo service.
Use cases
Use cases for mcp-cookie-cutter include developing echo servers for testing, creating custom MCP servers for specific applications, and building real-time data streaming services that utilize SSE for efficient data delivery.
How to use
To use mcp-cookie-cutter, ensure you have Python 3.10 or higher, the uv package installer, and Cookie Cutter installed. You can create a new MCP server by either cloning the template from GitHub or using a local copy. Follow the prompts to configure your project, including project name, slug, description, author details, and server port.
Key features
Key features of mcp-cookie-cutter include the ability to generate a fully functional MCP server, support for both stdio and SSE, and a straightforward setup process that guides users through project configuration and dependency installation.
Where to use
mcp-cookie-cutter can be used in various fields where Model Control Protocol servers are applicable, such as real-time data processing, IoT applications, and any system requiring efficient communication between clients and servers.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Cookie Cutter
mcp-cookie-cutter is a cookiecutter template designed for creating new MCP (Model Control Protocol) servers. It provides a structured way to generate a fully functional MCP server with standard input/output and Server-Sent Events (SSE) support, exemplified by a simple echo service.
Use cases
Use cases for mcp-cookie-cutter include developing echo servers for testing, creating custom MCP servers for specific applications, and building real-time data streaming services that utilize SSE for efficient data delivery.
How to use
To use mcp-cookie-cutter, ensure you have Python 3.10 or higher, the uv package installer, and Cookie Cutter installed. You can create a new MCP server by either cloning the template from GitHub or using a local copy. Follow the prompts to configure your project, including project name, slug, description, author details, and server port.
Key features
Key features of mcp-cookie-cutter include the ability to generate a fully functional MCP server, support for both stdio and SSE, and a straightforward setup process that guides users through project configuration and dependency installation.
Where to use
mcp-cookie-cutter can be used in various fields where Model Control Protocol servers are applicable, such as real-time data processing, IoT applications, and any system requiring efficient communication between clients and servers.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP Server Cookie Cutter Template
A cookie cutter template for creating new MCP (Model Context Protocol) servers. This template generates a fully functional MCP server with unified transport handling (stdio and SSE) and MCP Inspector compatibility, demonstrated through a simple echo service.
Features
- Unified transport handling (stdio and SSE in a single implementation)
- Full MCP Inspector compatibility
- Example echo tool implementation
- Proper absolute imports throughout
- Development environment setup
- Comprehensive documentation templates
Prerequisites
-
Python 3.11 or higher
python --version # Should be 3.11 or higher -
uv (Fast Python package installer)
# Install uv if you don't have it curl -LsSf https://astral.sh/uv/install.sh | sh -
Cookie Cutter
uv pip install cookiecutter
Creating a New MCP Server
You can create a new MCP server either directly from GitHub or from a local copy of this template.
Option 1: Directly from GitHub
cookiecutter gh:codingthefuturewithai/mcp-cookie-cutter
Option 2: From Local Copy
-
Clone this template:
git clone https://github.com/codingthefuturewithai/mcp-cookie-cutter -
Create a project using the local template:
cookiecutter path/to/mcp-cookie-cutter
Template Configuration
You’ll be asked for:
project_name: Human-readable name (e.g., “My MCP Server”)project_slug: Python package name (e.g., “my_mcp_server”)description: Short description of your projectauthor_name: Your nameauthor_email: Your emailserver_port: Port for SSE server (default: 3001)
Generated Project Structure
my_mcp_server/ # Your project directory ├── my_mcp_server/ # Python package directory │ ├── __init__.py │ ├── client/ # Client implementations │ │ ├── __init__.py │ │ └── app.py # Test client implementation │ ├── server/ # Server implementation │ │ ├── __init__.py │ │ └── app.py # Unified MCP server implementation │ └── tools/ # Tool implementations │ ├── __init__.py │ └── echo.py # Example tool implementation ├── pyproject.toml # Project configuration ├── README.md # Project documentation template └── DEVELOPMENT.md # Development guide template
Next Steps
Once your project is generated:
- Review and customize the README.md template
- Follow DEVELOPMENT.md for:
- Setting up the development environment
- Installing dependencies
- Running the server
- Testing with the example client
- Using MCP Inspector
- Start adding your own tools in the
tools/directory
License
This template is licensed under the MIT License - see the LICENSE file for details.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










