What are the prerequisites for using this template?
Python 3.11 or higher, uv (Fast Python package installer), and cookiecutter are required.
@codingthefuturewithai
基本情報
A cookiecutter template for creating MCP (Model Control Protocol) servers
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-cookie-cutter": {
"command": "python",
"args": [
"--version",
"#",
"Should",
"be",
"3.11",
"or",
"higher"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.

MCP server for AI Agents — exposes Yocoolab feedback threads and design selections as tools

The tools your AI needs to make your games. Turn prompts into production-ready game assets — animated characters with their weapons attached, seamless textures, terrain, VFX, HUDs — and playable game kits Unity, Godot, U
Set up and manage the Eddyter AI rich text editor by talking to your AI agent — for Claude, Cursor, Codex and other MCP tools. A Model Context Protocol server that lets AI tools add Eddyter to a React, Next.js, Vite or R

Eased is a library of motion-first React components for shadcn, installed with the shadcn CLI.

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.
コメント