Skill Seekers MCP

Name: Skill Seekers MCP
Author: Yusuf Karaaslan (community project)

Yusuf Karaaslan (community project)

stdio or HTTP/SSE according to the project's agent-specific setup guide.5+ documented tools11

About Skill Seekers MCP

A community MCP server that can scrape documentation and repositories, manage source configurations, and package reusable agent skills.

What you can use it for

Scrape public documentation or repositories into structured agent skills
Generate or validate source configuration
Package and maintain reusable skill content

Connection and setup

Hosting: Self-hosted local process or user-managed HTTP process.
Transport: stdio or HTTP/SSE according to the project's agent-specific setup guide.
Endpoint: Local process; no hosted endpoint documented
Authentication: No MCP account is required. Optional API tokens can be needed for provider-specific scraping or model features; set only documented keys locally and only if the selected workflow requires them.

Requirements

Python 3.10 or newer.
Windows users require WSL for the documented shell setup; macOS and Linux are listed directly.
Internet access is needed when scraping remote documentation.

Setup steps

Install the PyPI package with `pip install 'skill-seekers[mcp]'` or clone the official repository and install its documented MCP dependencies.
For stdio, configure the client with `python` (or the full path to the selected Python interpreter) and args `-m skill_seekers.mcp.server_fastmcp`. The auto-configuration script exists but changes client configuration; review it before choosing that route.
For documented HTTP mode, start `python -m skill_seekers.mcp.server_fastmcp --http --port 3000` and use the documented SSE endpoint `http://localhost:3000/sse` for compatible clients.
Restart/reconnect the client and inspect MCP tools. The current setup guide documents 40 tools; exact tool availability can vary with installed version and optional capabilities.

Tools 5+

The official MCP setup guide reports 40 tools and documents categories. The saved names below are examples, not a claim that they form the complete current inventory; the installed server's tools/list must be checked for exact availability.

generate_config
Generate a configuration for a documentation source.
01
list_configs
List available source configurations.
02
validate_config
Validate configuration structure.
03
scrape_docs
Scrape documentation according to a source configuration.
04
scrape_github
Scrape a GitHub repository as a documentation source.
05

This server’s available tools can vary by account, permissions, or configuration. The list shown is not its full runtime catalog.

Limitations and notes

This is a community-maintained project, not an official feature of every supported AI client or documentation provider.
Remote scraping requires network access and should respect source-site access controls and rate limits.
Windows use in the setup guide requires WSL rather than native PowerShell setup.
Documentation and logo were reviewed; MCP initialization, tools/list, and a representative scrape were not tested.

Original sources

community setup documentation
Documents Python version, supported OS, package install, stdio and HTTP modes, setup/verification, and the guide's stated 40 tools.
community project repository
Repository README identifies the project's MCP server and lists documented installation options.
repository project logo asset
Dedicated logo referenced by the project README; decoded and visually reviewed on light and dark sheets. Selection tier C: MCP project logo.
maintainer or vendor tool reference
Maintainer guide states the MCP server has 40 tools; five stored tool rows are representative only.

Documentation checked 2026-10-28T00:00:00Z. Connection has not been runtime tested.