MCP Server Cookie Cutter Template

What is MCP Server Cookie Cutter Template?

MCP Server Cookie Cutter Template is a project template for generating new Model Context Protocol (MCP) servers. It creates a fully functional MCP server with multi-transport support (stdio and streamable HTTP), advanced logging, automatic decorators, and a web-based management UI. It is intended for developers who want to quickly bootstrap custom MCP server projects with best practices baked in.

How to use MCP Server Cookie Cutter Template?

You use the template by running cookiecutter gh:codingthefuturewithai/mcp-cookie-cutter (or from a local clone) and answering prompts for project name, description, author details, and server port. After generation, you install dependencies with uv pip install -e ., run tests with pytest, and start the server with python -m your_project_name --transport stdio or --transport streamable-http. A Streamlit management UI is launched via streamlit run your_project_name/ui/app.py.

Key features of MCP Server Cookie Cutter Template

• Multi-transport support (stdio and streamable HTTP)
• Automatic decorators for exception handling, logging, type conversion, and parallelization
• SQLite-based unified logging system with correlation IDs
• Streamlit-based web management UI for configuration, logs, and documentation
• Ready-to-use example tools and full MCP Inspector compatibility
• Built-in DevFlow JIRA workflow commands (plan, implement, security review, complete)

Use cases of MCP Server Cookie Cutter Template

• Bootstrap a new MCP server with production-ready project structure and decorators
• Develop custom tools with automatic logging and error handling
• Manage server configuration and view logs via a web UI
• Integrate with a JIRA-based development workflow using DevFlow commands
• Test and debug MCP servers using the MCP Inspector

FAQ from MCP Server Cookie Cutter Template

What are the prerequisites for using this template?

Python 3.11 or higher, uv (Fast Python package installer), and cookiecutter are required.

What transports does the generated server support?

The generated MCP server supports both stdio and streamable HTTP transports. You select the transport at runtime via command-line flags.

How do I access the management UI?

After starting the generated server, run streamlit run your_project_name/ui/app.py to open a web-based interface for logs, configuration, and documentation.

Does the template include tools for JIRA integration?

Yes. The template includes a DevFlow workflow with Claude Code commands (/devflow:plan-work, /devflow:implement, /devflow:security-review, /devflow:complete) that integrate with JIRA.

What license does this template use?

The template is licensed under the MIT License.