What development tools are included in the template?
The template includes ruff (linting), black (formatting), pre-commit hooks, pytest, and the pytest-cov plugin. Checks and tests are run via GitHub Actions.
@rohanjoackhim
Basic information
mcp and python test server
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Python project template is a starter repository for any Python project, pre-configured with modern development tools. It includes ruff and black for linting and formatting, pytest with coverage for testing, and GitHub Actions to run checks automatically on every pull request and merge. It also provides a devcontainer for a consistent, containerized development environment.
Use the template by creating a new repository from it. You can open it in GitHub Codespaces to automatically initialize the devcontainer, or open it locally in VS Code with the Dev Containers extension. Without a devcontainer, create a virtual environment, install the required packages from requirements-dev.txt, and run pre-commit install. Replace the sample main.py and tests/main_test.py with your own code. Run tests with python3 -m pytest.
The template includes ruff (linting), black (formatting), pre-commit hooks, pytest, and the pytest-cov plugin. Checks and tests are run via GitHub Actions.
To change the Python version, update the `image` argument in `.devcontainer/devcontainer.json`, adjust the config options in `.precommit-config.yaml`, and change the version number in `.github/workflows/python.yaml`.
Run `python3 -m pytest` from the root of the repository. The template includes a sample test in `tests/main_test.py`.
The README includes a file breakdown section explaining each file and folder. A longer blog post is linked at the bottom of the README.
Yes, `requirements.txt` lists production dependencies, while `requirements-dev.txt` lists packages needed only for development (e.g., tools and test libraries).
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