How do I install the pypreset mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `GITHUB_TOKEN` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Pypreset MCP Server

Scaffold Python projects from YAML presets, augment existing projects with CI/tests.

Local serverstdioPython

What is the Pypreset MCP Server?

Scaffold Python projects from YAML presets, augment existing projects with CI/tests.

The short version

Preset-based project creation — from YAML configs with single inheritance
Augment existing projects — with CI workflows, tests, Docker, documentation, and more
Three package managers — Poetry, uv (PEP 621 + hatchling), and setuptools (PEP 621 + setuptools.build_meta)
Two layout styles — src/ layout and flat layout
Type checking — mypy, pyright, ty, or none
Code quality — ruff linting/formatting, radon complexity checks, pre-commit hooks

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Pypreset MCP Server

claude mcp add pypreset --env GITHUB_TOKEN=your-value -- uvx pypreset

Configuration

Variable	Description	Required
GITHUB_TOKEN	Credential the server authenticates with.	Yes

Frequently asked questions

Scaffold Python projects from YAML presets, augment existing projects with CI/tests. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.