What are the prerequisites for using this template?
Python 3.11 or higher, uv (Fast Python package installer), and cookiecutter are required.
@codingthefuturewithai
基本信息
A cookiecutter template for creating MCP (Model Control Protocol) servers
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-cookie-cutter": {
"command": "python",
"args": [
"--version",
"#",
"Should",
"be",
"3.11",
"or",
"higher"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
Python 3.11 or higher, uv (Fast Python package installer), and cookiecutter are required.
The generated MCP server supports both stdio and streamable HTTP transports. You select the transport at runtime via command-line flags.
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.
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.
The template is licensed under the MIT License.

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