Pypreset

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "pypreset": {
      "command": "uvx",
      "args": [
        "--from",
        "pypreset[mcp]",
        "pypreset-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

A meta-tool for scaffolding Python projects with configurable YAML presets.
Supports Poetry, uv, and setuptools, generates CI workflows, testing scaffolds, type checking configs, and more.

mcp-name: io.github.KaiErikNiermann/pypreset

Features

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
Docker & devcontainer: generate multi-stage Dockerfiles, .dockerignore, and VS Code devcontainer configs (Docker or Podman)
Coverage integration: Codecov support with configurable thresholds and ignore patterns
Documentation scaffolding: MkDocs (Material theme) or Sphinx (RTD theme) with optional GitHub Pages deployment
Multi-environment testing: tox configuration with tox-uv backend
pyenv / .python-version: generate .python-version for pyenv and uv, with python-version-file in CI workflows
Version management: bump-my-version integration, GitHub release automation via gh CLI
Workflow verification: local GitHub Actions testing with act (auto-detect, auto-install, dry-run and full-run modes)
PyPI metadata management: read, set, and check publish-readiness of pyproject.toml metadata
User defaults: persistent config at ~/.config/pypreset/config.yaml
MCP server: expose all functionality to AI coding assistants via the Model Context Protocol

Installation

Terminal

pip install pypreset

# With MCP server support
pip install pypreset[mcp]

Quick Start

bash

# Create a CLI tool project with Poetry
pypreset create my-cli --preset cli-tool

# Create a data science project with uv
pypreset create my-analysis --preset data-science --package-manager uv

# Create an empty package with src layout (default)
pypreset create my-package --preset empty-package

# Create a Discord bot
pypreset create my-bot --preset discord-bot

# Create a project with Docker support
pypreset create my-service --preset cli-tool --docker --devcontainer

# Create with .python-version for pyenv/uv
pypreset create my-lib --pyenv --python-version 3.13

# Create with Podman, Codecov, docs, and tox
pypreset create my-project --preset empty-package \
    --container-runtime podman --docker \
    --coverage-tool codecov --coverage-threshold 80 \
    --docs mkdocs --docs-gh-pages \
    --tox

Commands

`create` -- Scaffold a new project

bash

pypreset create <name> [OPTIONS]

Option	Description
`--preset`, `-p`	Preset to use (default: `empty-package`)
`--output`, `-o`	Output directory (default: `.`)
`--config`, `-c`	Custom preset YAML file
`--package-manager`	`poetry` or `uv`
`--layout`	`src` or `flat`
`--type-checker`	`mypy`, `pyright`, `ty`, or `none`
`--typing`	`none`, `basic`, or `strict`
`--python-version`	e.g., `3.12`
`--testing` / `--no-testing`	Enable/disable testing scaffold
`--formatting` / `--no-formatting`	Enable/disable formatting config
`--radon` / `--no-radon`	Enable radon complexity checking
`--pre-commit` / `--no-pre-commit`	Generate pre-commit hooks config
`--bump-my-version` / `--no-bump-my-version`	Include bump-my-version config
`--extra-package`, `-e`	Additional packages (repeatable)
`--extra-dev-package`, `-d`	Additional dev packages (repeatable)
`--docker` / `--no-docker`	Generate Dockerfile and `.dockerignore`
`--devcontainer` / `--no-devcontainer`	Generate `.devcontainer/` configuration
`--container-runtime`	`docker` or `podman`
`--coverage-tool`	`codecov` or `none`
`--coverage-threshold`	Minimum coverage % (e.g., `80`)
`--docs`	`sphinx`, `mkdocs`, or `none`
`--docs-gh-pages` / `--no-docs-gh-pages`	Generate GitHub Pages deploy workflow
`--tox` / `--no-tox`	Generate `tox.ini` with tox-uv backend
`--pyenv` / `--no-pyenv`	Generate `.python-version` and use `python-version-file` in CI
`--git` / `--no-git`	Initialize git repository
`--install` / `--no-install`	Run dependency install after creation
`--dry-run`	Preview what would be created without generating anything

`augment` -- Add components to an existing project

Analyzes pyproject.toml to auto-detect your tooling, then generates the selected components. Runs in interactive mode by default (prompts for values it can't detect); use --auto to skip prompts.

bash

pypreset augment [path] [OPTIONS]

Available components:

Flag	Component	What it generates
`--test-workflow` / `--no-test-workflow`	Test CI	GitHub Actions workflow that runs pytest across a Python version matrix
`--lint-workflow` / `--no-lint-workflow`	Lint CI	GitHub Actions workflow for ruff, type checking, and complexity analysis
`--dependabot` / `--no-dependabot`	Dependabot	`.github/dependabot.yml` for automated dependency updates
`--tests` / `--no-tests`	Tests directory	`tests/` with template test files and `conftest.py`
`--gitignore` / `--no-gitignore`	Gitignore	Python-specific `.gitignore`
`--pypi-publish` / `--no-pypi-publish`	PyPI publish	GitHub Actions workflow for OIDC-based publishing to PyPI on release
`--dockerfile` / `--no-dockerfile`	Docker	Multi-stage `Dockerfile` and `.dockerignore` (Poetry, uv, or setuptools aware)
`--devcontainer` / `--no-devcontainer`	Devcontainer	`.devcontainer/devcontainer.json` with VS Code extensions
`--codecov` / `--no-codecov`	Codecov	`codecov.yml` configuration
`--docs`	Documentation	Sphinx or MkDocs scaffolding (`--docs sphinx` or `--docs mkdocs`)
`--tox` / `--no-tox`	tox	`tox.ini` with tox-uv backend for multi-environment testing
`--readme` / `--no-readme`	README	`README.md` generated from the shared template (badges, install, features)
`--pyenv` / `--no-pyenv`	pyenv	`.python-version` file for pyenv and uv version pinning

bash

# Interactive mode (prompts for missing values)
pypreset augment ./my-project

# Auto-detect everything, no prompts
pypreset augment --auto

# Generate only specific components
pypreset augment --test-workflow --lint-workflow --gitignore

# Add Docker and devcontainer
pypreset augment --dockerfile --devcontainer

# Add PyPI publish workflow
pypreset augment --pypi-publish

# Add documentation scaffolding
pypreset augment --docs mkdocs

# Generate a README from your project metadata
pypreset augment --readme

# Overwrite existing files
pypreset augment --force

`workflow` -- Local workflow verification

Verify GitHub Actions workflows locally using act. The proxy auto-detects whether act is installed, can install it on supported systems, and surfaces all act output directly.

bash

# Verify all workflows (dry-run, no containers)
pypreset workflow verify

# Verify a specific workflow file
pypreset workflow verify --workflow .github/workflows/ci.yaml

# Verify a specific job
pypreset workflow verify --job lint

# Full run (executes in containers, requires Docker)
pypreset workflow verify --full-run

# Auto-install act if missing
pypreset workflow verify --auto-install

# Pass extra flags to act
pypreset workflow verify --flag="--secret=GITHUB_TOKEN=xxx"

# Check if act is installed
pypreset workflow check-act

# Install act automatically
pypreset workflow install-act

Supported auto-install targets: Arch Linux (pacman), Ubuntu/Debian (apt), Fedora (dnf), macOS/Linux with Homebrew. Other systems get a link to the act installation page.

`version` -- Release management

bash

pypreset version release --bump patch     # 0.1.0 -> 0.1.1
pypreset version release --bump minor     # 0.1.0 -> 0.2.0
pypreset version release --bump major     # 0.1.0 -> 1.0.0
pypreset version release-version 2.0.0    # Explicit version
pypreset version rerun <ver>              # Re-tag and push an existing version
pypreset version rerelease <ver>          # Delete and recreate a GitHub release

Requires the gh CLI to be installed and authenticated.

`metadata` -- PyPI metadata management

bash

pypreset metadata show                                   # Display current metadata
pypreset metadata set --description "My cool package"    # Set description
pypreset metadata set --github-owner myuser              # Auto-generate URLs
pypreset metadata set --license MIT --keyword python     # Set license and keywords
pypreset metadata check                                  # Check publish-readiness

`badges` -- Generate badge markdown

Reads pyproject.toml to detect your project name, repository URL, and license, then prints badge markdown you can paste into your README.

bash

pypreset badges                  # Badges for current directory
pypreset badges ./my-project     # Badges for a specific project

Other commands

bash

pypreset list-presets              # List all available presets
pypreset show-preset <name>        # Show full preset details
pypreset validate [path]           # Validate project structure
pypreset analyze [path]            # Detect and display project tooling
pypreset config show               # Show current user defaults
pypreset config init               # Create default config file
pypreset config set <key> <value>  # Set a config value

Presets

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

17d ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Pypreset

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "pypreset": { "command": "uvx", "args": ["--from","pypreset[mcp]","pypreset-mcp"] } }

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[![AllMCPs](https://allmcps.com/api/badge/pypreset?style=directory)](https://allmcps.com/mcp/pypreset)

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<a href="https://allmcps.com/mcp/pypreset"><img src="https://allmcps.com/api/badge/pypreset?style=directory" alt="Pypreset on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

5/6 checks healthy over the last 46d

40Quality signal: Fair · 40/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev · pypreset-mcp (PyPI)

★ Featured

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MCP & Agent Skills for Automated Documentation, and codebase conventions + context

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This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge — proof is checked automatically, then reviewed by our team.

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Pypreset →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Pypreset

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "pypreset": {
      "command": "uvx",
      "args": [
        "--from",
        "pypreset[mcp]",
        "pypreset-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

A meta-tool for scaffolding Python projects with configurable YAML presets.
Supports Poetry, uv, and setuptools, generates CI workflows, testing scaffolds, type checking configs, and more.

mcp-name: io.github.KaiErikNiermann/pypreset

Features

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
Docker & devcontainer: generate multi-stage Dockerfiles, .dockerignore, and VS Code devcontainer configs (Docker or Podman)
Coverage integration: Codecov support with configurable thresholds and ignore patterns
Documentation scaffolding: MkDocs (Material theme) or Sphinx (RTD theme) with optional GitHub Pages deployment
Multi-environment testing: tox configuration with tox-uv backend
pyenv / .python-version: generate .python-version for pyenv and uv, with python-version-file in CI workflows
Version management: bump-my-version integration, GitHub release automation via gh CLI
Workflow verification: local GitHub Actions testing with act (auto-detect, auto-install, dry-run and full-run modes)
PyPI metadata management: read, set, and check publish-readiness of pyproject.toml metadata
User defaults: persistent config at ~/.config/pypreset/config.yaml
MCP server: expose all functionality to AI coding assistants via the Model Context Protocol

Installation

Terminal

pip install pypreset

# With MCP server support
pip install pypreset[mcp]

Quick Start

bash

# Create a CLI tool project with Poetry
pypreset create my-cli --preset cli-tool

# Create a data science project with uv
pypreset create my-analysis --preset data-science --package-manager uv

# Create an empty package with src layout (default)
pypreset create my-package --preset empty-package

# Create a Discord bot
pypreset create my-bot --preset discord-bot

# Create a project with Docker support
pypreset create my-service --preset cli-tool --docker --devcontainer

# Create with .python-version for pyenv/uv
pypreset create my-lib --pyenv --python-version 3.13

# Create with Podman, Codecov, docs, and tox
pypreset create my-project --preset empty-package \
    --container-runtime podman --docker \
    --coverage-tool codecov --coverage-threshold 80 \
    --docs mkdocs --docs-gh-pages \
    --tox

Commands

`create` -- Scaffold a new project

bash

pypreset create <name> [OPTIONS]

Option	Description
`--preset`, `-p`	Preset to use (default: `empty-package`)
`--output`, `-o`	Output directory (default: `.`)
`--config`, `-c`	Custom preset YAML file
`--package-manager`	`poetry` or `uv`
`--layout`	`src` or `flat`
`--type-checker`	`mypy`, `pyright`, `ty`, or `none`
`--typing`	`none`, `basic`, or `strict`
`--python-version`	e.g., `3.12`
`--testing` / `--no-testing`	Enable/disable testing scaffold
`--formatting` / `--no-formatting`	Enable/disable formatting config
`--radon` / `--no-radon`	Enable radon complexity checking
`--pre-commit` / `--no-pre-commit`	Generate pre-commit hooks config
`--bump-my-version` / `--no-bump-my-version`	Include bump-my-version config
`--extra-package`, `-e`	Additional packages (repeatable)
`--extra-dev-package`, `-d`	Additional dev packages (repeatable)
`--docker` / `--no-docker`	Generate Dockerfile and `.dockerignore`
`--devcontainer` / `--no-devcontainer`	Generate `.devcontainer/` configuration
`--container-runtime`	`docker` or `podman`
`--coverage-tool`	`codecov` or `none`
`--coverage-threshold`	Minimum coverage % (e.g., `80`)
`--docs`	`sphinx`, `mkdocs`, or `none`
`--docs-gh-pages` / `--no-docs-gh-pages`	Generate GitHub Pages deploy workflow
`--tox` / `--no-tox`	Generate `tox.ini` with tox-uv backend
`--pyenv` / `--no-pyenv`	Generate `.python-version` and use `python-version-file` in CI
`--git` / `--no-git`	Initialize git repository
`--install` / `--no-install`	Run dependency install after creation
`--dry-run`	Preview what would be created without generating anything

`augment` -- Add components to an existing project

Analyzes pyproject.toml to auto-detect your tooling, then generates the selected components. Runs in interactive mode by default (prompts for values it can't detect); use --auto to skip prompts.

bash

pypreset augment [path] [OPTIONS]

Available components:

Flag	Component	What it generates
`--test-workflow` / `--no-test-workflow`	Test CI	GitHub Actions workflow that runs pytest across a Python version matrix
`--lint-workflow` / `--no-lint-workflow`	Lint CI	GitHub Actions workflow for ruff, type checking, and complexity analysis
`--dependabot` / `--no-dependabot`	Dependabot	`.github/dependabot.yml` for automated dependency updates
`--tests` / `--no-tests`	Tests directory	`tests/` with template test files and `conftest.py`
`--gitignore` / `--no-gitignore`	Gitignore	Python-specific `.gitignore`
`--pypi-publish` / `--no-pypi-publish`	PyPI publish	GitHub Actions workflow for OIDC-based publishing to PyPI on release
`--dockerfile` / `--no-dockerfile`	Docker	Multi-stage `Dockerfile` and `.dockerignore` (Poetry, uv, or setuptools aware)
`--devcontainer` / `--no-devcontainer`	Devcontainer	`.devcontainer/devcontainer.json` with VS Code extensions
`--codecov` / `--no-codecov`	Codecov	`codecov.yml` configuration
`--docs`	Documentation	Sphinx or MkDocs scaffolding (`--docs sphinx` or `--docs mkdocs`)
`--tox` / `--no-tox`	tox	`tox.ini` with tox-uv backend for multi-environment testing
`--readme` / `--no-readme`	README	`README.md` generated from the shared template (badges, install, features)
`--pyenv` / `--no-pyenv`	pyenv	`.python-version` file for pyenv and uv version pinning

bash

# Interactive mode (prompts for missing values)
pypreset augment ./my-project

# Auto-detect everything, no prompts
pypreset augment --auto

# Generate only specific components
pypreset augment --test-workflow --lint-workflow --gitignore

# Add Docker and devcontainer
pypreset augment --dockerfile --devcontainer

# Add PyPI publish workflow
pypreset augment --pypi-publish

# Add documentation scaffolding
pypreset augment --docs mkdocs

# Generate a README from your project metadata
pypreset augment --readme

# Overwrite existing files
pypreset augment --force

`workflow` -- Local workflow verification

Verify GitHub Actions workflows locally using act. The proxy auto-detects whether act is installed, can install it on supported systems, and surfaces all act output directly.

bash

# Verify all workflows (dry-run, no containers)
pypreset workflow verify

# Verify a specific workflow file
pypreset workflow verify --workflow .github/workflows/ci.yaml

# Verify a specific job
pypreset workflow verify --job lint

# Full run (executes in containers, requires Docker)
pypreset workflow verify --full-run

# Auto-install act if missing
pypreset workflow verify --auto-install

# Pass extra flags to act
pypreset workflow verify --flag="--secret=GITHUB_TOKEN=xxx"

# Check if act is installed
pypreset workflow check-act

# Install act automatically
pypreset workflow install-act

Supported auto-install targets: Arch Linux (pacman), Ubuntu/Debian (apt), Fedora (dnf), macOS/Linux with Homebrew. Other systems get a link to the act installation page.

`version` -- Release management

bash

pypreset version release --bump patch     # 0.1.0 -> 0.1.1
pypreset version release --bump minor     # 0.1.0 -> 0.2.0
pypreset version release --bump major     # 0.1.0 -> 1.0.0
pypreset version release-version 2.0.0    # Explicit version
pypreset version rerun <ver>              # Re-tag and push an existing version
pypreset version rerelease <ver>          # Delete and recreate a GitHub release

Requires the gh CLI to be installed and authenticated.

`metadata` -- PyPI metadata management

bash

pypreset metadata show                                   # Display current metadata
pypreset metadata set --description "My cool package"    # Set description
pypreset metadata set --github-owner myuser              # Auto-generate URLs
pypreset metadata set --license MIT --keyword python     # Set license and keywords
pypreset metadata check                                  # Check publish-readiness

`badges` -- Generate badge markdown

Reads pyproject.toml to detect your project name, repository URL, and license, then prints badge markdown you can paste into your README.

bash

pypreset badges                  # Badges for current directory
pypreset badges ./my-project     # Badges for a specific project

Other commands

bash

pypreset list-presets              # List all available presets
pypreset show-preset <name>        # Show full preset details
pypreset validate [path]           # Validate project structure
pypreset analyze [path]            # Detect and display project tooling
pypreset config show               # Show current user defaults
pypreset config init               # Create default config file
pypreset config set <key> <value>  # Set a config value

Presets

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

17d ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Pypreset

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "pypreset": { "command": "uvx", "args": ["--from","pypreset[mcp]","pypreset-mcp"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

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Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/pypreset?style=directory)](https://allmcps.com/mcp/pypreset)

HTML Embed

<a href="https://allmcps.com/mcp/pypreset"><img src="https://allmcps.com/api/badge/pypreset?style=directory" alt="Pypreset on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

5/6 checks healthy over the last 46d

40Quality signal: Fair · 40/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity4/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3d ago via OSV.dev · pypreset-mcp (PyPI)

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Pypreset →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Pypreset

Quick Install

Client Config & Setup

Documentation Overview

Features

Installation

Quick Start

Commands

create -- Scaffold a new project

augment -- Add components to an existing project

workflow -- Local workflow verification

version -- Release management

metadata -- PyPI metadata management

badges -- Generate badge markdown

Other commands

Presets

Related MCP Servers

Adoption & maintenance

Reviews

Frequently Asked Questions about Pypreset

AllMCPs Directory Badge

Technical Specs & Signals

Supply-chain signal

Moxie Docs MCP

Own this project?

Share & Embed

Explore more

Pypreset

Quick Install

Client Config & Setup

Documentation Overview

Features

Installation

Quick Start

Commands

create -- Scaffold a new project

augment -- Add components to an existing project

workflow -- Local workflow verification

version -- Release management

metadata -- PyPI metadata management

badges -- Generate badge markdown

Other commands

Presets

Related MCP Servers

Adoption & maintenance

Reviews

Frequently Asked Questions about Pypreset

AllMCPs Directory Badge

Technical Specs & Signals

Supply-chain signal

Moxie Docs MCP

Own this project?

Share & Embed

Explore more

`create` -- Scaffold a new project

`augment` -- Add components to an existing project

`workflow` -- Local workflow verification

`version` -- Release management

`metadata` -- PyPI metadata management

`badges` -- Generate badge markdown

`create` -- Scaffold a new project

`augment` -- Add components to an existing project

`workflow` -- Local workflow verification

`version` -- Release management

`metadata` -- PyPI metadata management

`badges` -- Generate badge markdown