What dependencies and runtime does the template require?
It requires Python 3.10 or later, and uses `uv` for dependency management. The configured tools include `ruff`, `mypy`, `pytest`, `pre-commit`, and `fastapi` with `uvicorn`.
@Acid-base
基本信息
Python MCP server with CI/CD tooling and testability built-in
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"FastMCP-Proper": {
"command": "uv",
"args": [
"venv"
]
}
}
}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。
Python Best Practices Launchpad is a modern Python project template with a functional FastAPI REST API. It integrates tools like uv, ruff, mypy, pytest, and pre-commit, and includes Docker containerization and GitHub Actions CI/CD. It is designed for developers who want to build production-ready Python applications with established best practices.
You can set up the project using one of three approaches: using Dev Containers (recommended with VS Code or GitHub Codespaces), using Docker Compose, or via a local setup with Linuxbrew/Homebrew and uv. After cloning, run uv venv to create a virtual environment, uv sync to install dependencies, pre-commit install to set up Git hooks, and then start the API with python -m src.my_package.run or uvicorn my_package.api:app --reload. Access the automatically generated OpenAPI documentation at /docs.
uvruffmypypytest including unit, API, and integration testsIt requires Python 3.10 or later, and uses `uv` for dependency management. The configured tools include `ruff`, `mypy`, `pytest`, `pre-commit`, and `fastapi` with `uvicorn`.
After completing the local setup (clone, virtual environment, dependency install), run `python -m src.my_package.run` or `uvicorn my_package.api:app --reload`. The API is then accessible at `http://localhost:8000`, with documentation at `/docs`.
Yes. It includes a multi‑stage Dockerfile, health checks, non‑root user configuration, and a GitHub Actions CI workflow. The FastAPI app has proper error handling, CORS middleware, and input validation.
Run `pytest` from the root folder. The project includes unit tests, API tests, and integration tests, all configured via `pytest.ini`.
The API uses HTTP, served by Uvicorn (ASGI server). No alternative transports or authentication mechanisms are provided in the template out of the box.
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