Agent Skills MCP

Agent Skills MCP

Enables discovery and installation of agent skills from curated GitHub repositories, allowing users to search large collections and inspect skill contents directly. It supports downloading skills locally and provides grounded scaffolds for creating new skills based on existing patterns.

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README

Agent Skills MCP

pinkpixel-agentskills-mcp is a stdio MCP server for discovering, reading, and downloading agent skills from curated GitHub repositories.

GitHub: https://github.com/pinkpixel-dev/agentskills-mcp

It is built for a practical workflow:

  • search a large curated skill collection instead of searching all of GitHub
  • inspect a matching skill directly from GitHub
  • install a skill locally when the agent should actually use it
  • suggest a grounded starter scaffold when there is not an exact match

Why This Exists

This server exists because a large skill library is only useful if an agent can actually find the right skill quickly.

With more than 1,600 collected skills spread across curated repositories, manual browsing becomes slow and noisy. This MCP server gives agents a direct way to search those collections, inspect likely matches, and install the right skill when it is needed.

Skills are genuinely useful when they are easy to discover and apply in context. The goal here is to make a large curated skill archive feel usable instead of overwhelming.

What the server exposes

  • github_skills_list_repositories
  • github_skills_search_skills
  • github_skills_get_skill
  • github_skills_install_skill
  • github_skills_suggest_skill_scaffold

Example Use

Example user request:

Can you use the pinkpixel-agentskills-mcp tools and find skills for Rust development?

Example result:

  • The server searches the built-in skill indexes.
  • It can identify strong matches like skills-collection-2:rust-pro and skills-collection-2:rust-async-patterns.
  • It can inspect those skill folders directly from GitHub before recommending them.
  • It can then install the selected skill locally with the MCP install tool.

This is especially helpful when a broad keyword search would otherwise return noisy matches, such as rust appearing inside trust.

Quickstart

Run from PyPI with uvx:

uvx pinkpixel-agentskills-mcp

If your environment still prefers the explicit package-to-command form, this works too:

uvx --from pinkpixel-agentskills-mcp agentskills-mcp

Register it in Claude:

claude mcp add github-skills -- uvx pinkpixel-agentskills-mcp

With a GitHub token for better rate limits:

claude mcp add github-skills --env GITHUB_TOKEN=$GITHUB_TOKEN -- uvx pinkpixel-agentskills-mcp

Configuration

The server ships with these built-in default sources:

  • pinkpixel-dev/skills-collection-1
  • pinkpixel-dev/skills-collection-2

That means the server works out of the box with no repos.json at all.

Users can add more repositories in either of these ways:

  1. Create repos.json in the project root by copying repos.example.json
  2. Or set GITHUB_SKILLS_REPOS to a JSON array with the same schema

Each repo entry supports:

  • name: short alias used in skill slugs
  • owner: GitHub owner or org
  • repo: GitHub repo name
  • ref: branch or tag to read from
  • root: optional subdirectory that contains skills
  • github_token_env: optional environment variable holding a GitHub token

For public repositories, a GitHub token is optional. Users can run anonymously, or provide their own GITHUB_TOKEN for higher rate limits.

For private repositories, each user should provide their own token with the access they need. Do not ship your personal token with the server.

Default and custom source behavior

  • By default, custom repos are added on top of the built-in two repos.
  • If a custom repo uses the same name as a built-in repo, the custom one wins.
  • To disable the built-in repos entirely, set GITHUB_SKILLS_REPLACE_DEFAULTS=true.
  • To disable built-in repos without replacement, set GITHUB_SKILLS_INCLUDE_DEFAULTS=false.

Install

For local development:

uv sync

If a user wants to add more sources, they can create repos.json from the example:

cp repos.example.json repos.json

Local Run

This is a stdio server. To run it locally from the repo:

uv run agentskills-mcp

For a quick smoke test without leaving a hanging process:

timeout 5s uv run agentskills-mcp

Claude Registration

claude mcp add github-skills --env GITHUB_TOKEN=$GITHUB_TOKEN -- uv run agentskills-mcp

For public repos, users can also add the server without any token:

claude mcp add github-skills -- uv run agentskills-mcp

If you also want a default install target for downloaded skills:

claude mcp add github-skills \
  --env GITHUB_TOKEN=$GITHUB_TOKEN \
  --env GITHUB_SKILLS_INSTALL_ROOT=/absolute/path/to/skills \
  -- uv run agentskills-mcp

PyPI and uvx

The published package name is pinkpixel-agentskills-mcp.

The server command is available as both:

  • pinkpixel-agentskills-mcp
  • agentskills-mcp

That means the most convenient public install path is:

uvx pinkpixel-agentskills-mcp

If you ever hit an environment that does not pick the matching executable automatically, use:

uvx --from pinkpixel-agentskills-mcp agentskills-mcp

For release steps, see PUBLISHING.md.

Notes

  • This server uses stdio, not HTTP/SSE transport.
  • Skill discovery is currently based on finding SKILL.md files in configured repos.
  • Built-in defaults make the server usable immediately, while optional config lets users extend the source list.
  • Search ranking is intentionally simple for the first version and can be upgraded later with repo-specific metadata or embeddings.
  • The scaffold tool is meant to help another agent create a new skill grounded in existing examples; it does not replace a full generation pipeline by itself.
  • Public-repo access works without credentials; tokens are an optional per-user enhancement, not a baked-in server secret.

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