Skill Seekers
๐ ๐ ๐ ๐ช ๐ง - Transform 17 source types (docs, GitHub repos, PDFs, video
What is Skill Seekers?
Skill Seekers is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to ๐ ๐ ๐ ๐ช ๐ง - transform 17 source types (docs, github repos, pdfs, video
๐ ๐ ๐ ๐ช ๐ง - Transform 17 source types (docs, GitHub repos, PDFs, video
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP protocol support
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx skill-seekersConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Skill Seekers
Skill Seekers is a Python-based MCP server that transforms 17 different source types โ including documentation websites, GitHub repositories, PDFs, and YouTube videos โ into structured AI skills consumable by Claude, Gemini, and OpenAI agents. It exposes 40 built-in tools covering scraping, merging, conflict detection, vector database exports, and cloud artifact management, making it a one-stop solution for building RAG pipelines and enriching AI coding assistants with deep domain context.
Prerequisites
- Python 3.10 or later (3.11+ recommended)
- pip or uv package manager
- An MCP-compatible client such as Claude Desktop, VS Code with Cline, or Cursor
- ANTHROPIC_API_KEY for Claude integration (or GOOGLE_API_KEY / OPENAI_API_KEY for other LLMs)
- GITHUB_TOKEN for GitHub repository scraping (optional but recommended for higher rate limits)
Install Skill Seekers via pip
Install the base package. For full functionality including video transcript extraction and all LLM backends, use the [all] extra.
pip install skill-seekers
# Or install with all features:
pip install skill-seekers[all]Set required environment variables
Export the API keys that match your chosen LLM backend. ANTHROPIC_API_KEY is needed for Claude-based skill enhancement; add GITHUB_TOKEN to raise GitHub API rate limits from 60 to 5000 requests per hour.
export ANTHROPIC_API_KEY=your_anthropic_key_here
export GITHUB_TOKEN=your_github_token_here
# Optional additional LLM backends:
export GOOGLE_API_KEY=your_google_key_here
export OPENAI_API_KEY=your_openai_key_hereTest the MCP server in stdio mode
Start the server in stdio mode, which is compatible with Claude Desktop and VS Code + Cline.
python -m skill_seekers.mcp.server_fastmcpConfigure your MCP client
Add Skill Seekers to your claude_desktop_config.json or equivalent MCP client configuration file.
{
"mcpServers": {
"skill-seekers": {
"command": "python",
"args": ["-m", "skill_seekers.mcp.server_fastmcp"],
"env": {
"ANTHROPIC_API_KEY": "your_anthropic_key_here",
"GITHUB_TOKEN": "your_github_token_here"
}
}
}
}Restart your MCP client
Save the configuration and fully restart Claude Desktop or your MCP client to load the Skill Seekers server.
Start generating skills from sources
Use AI prompts to instruct the server to scrape a documentation URL, GitHub repo, or PDF, then package the result as a reusable skill for your coding assistant.
Skill Seekers Examples
Client configuration
Claude Desktop configuration for Skill Seekers in stdio mode with API key environment variables.
{
"mcpServers": {
"skill-seekers": {
"command": "python",
"args": ["-m", "skill_seekers.mcp.server_fastmcp"],
"env": {
"ANTHROPIC_API_KEY": "your_anthropic_key_here",
"GITHUB_TOKEN": "your_github_token_here",
"GOOGLE_API_KEY": "your_google_key_here"
}
}
}
}Prompts to try
Example prompts to generate and manage AI skills through the Skill Seekers MCP server.
- "Scrape the FastAPI documentation at https://fastapi.tiangolo.com and create a Claude skill from it"
- "Extract skills from the GitHub repo https://github.com/langchain-ai/langchain and package them"
- "Convert this PDF at /path/to/report.pdf into a searchable knowledge skill"
- "Export my skills collection to a Chroma vector database for RAG retrieval"
- "Detect conflicts between the React skill and the Vue skill I uploaded"Troubleshooting Skill Seekers
GitHub scraping returns 'rate limit exceeded' errors
Set the GITHUB_TOKEN environment variable with a personal access token. Unauthenticated requests are limited to 60 per hour; authenticated requests get 5000 per hour.
Video transcript extraction fails
Install the video extra: `pip install skill-seekers[video]`. This adds the YouTube transcript extraction dependency. Also ensure the video has captions available on YouTube.
MCP client in Cursor or Windsurf cannot connect
Cursor and Windsurf use HTTP transport rather than stdio. Start the server in HTTP mode with `python -m skill_seekers.mcp.server_fastmcp --transport http --port 8765` and point your client to http://localhost:8765.
Frequently Asked Questions about Skill Seekers
What is Skill Seekers?
Skill Seekers is a Model Context Protocol (MCP) server that ๐ ๐ ๐ ๐ช ๐ง - transform 17 source types (docs, github repos, pdfs, video It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Skill Seekers?
Follow the installation instructions on the Skill Seekers GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Skill Seekers?
Skill Seekers works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Skill Seekers free to use?
Yes, Skill Seekers is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
Skill Seekers Alternatives โ Similar Developer Tools Servers
Looking for alternatives to Skill Seekers? Here are other popular developer tools servers you can use with Claude, Cursor, and VS Code.
Ecc
โ 188.2kThe agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Javaguide
โ 155.8kJava ้ข่ฏ & ๅ็ซฏ้็จ้ข่ฏๆๅ๏ผ่ฆ็่ฎก็ฎๆบๅบ็กใๆฐๆฎๅบใๅๅธๅผใ้ซๅนถๅใ็ณป็ป่ฎพ่ฎกไธ AI ๅบ็จๅผๅ
Gemini CLI
โ 104.5kA secure MCP server that wraps the Google Gemini CLI, allowing clients to query Gemini models using local OAuth sessions without requiring an API key. It provides tools for model interaction and diagnostics with built-in protection against command in
Awesome MCP Servers
โ 87.3kโญ Curated list of Model Context Protocol (MCP) servers - tools that extend Claude Desktop, Cursor, Windsurf, and other MCP clients with custom capabilities.
MCP Servers
โ 86.0kModel Context Protocol Servers
CC Switch
โ 77.5kA cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Gemini CLI & Hermes Agent. Only official website: ccswitch.io
Browse More Developer Tools MCP Servers
Explore all developer tools servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Skill Seekers in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Skill Seekers?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.