skill-seekers-reference/mcp

Skill Seeker MCP Server

Model Context Protocol (MCP) server for Skill Seeker - enables Claude Code to generate documentation skills directly.

What is This?

This MCP server allows Claude Code to use Skill Seeker's tools directly through natural language commands. Instead of running CLI commands manually, you can ask Claude Code to:

• Generate config files for any documentation site
• Estimate page counts before scraping
• Scrape documentation and build skills
• Package skills into .zip files
• List and validate configurations

Quick Start

1. Install Dependencies

# From repository root
pip3 install -r mcp/requirements.txt
pip3 install requests beautifulsoup4

2. Quick Setup (Automated)

# Run the setup script
./setup_mcp.sh

# Follow the prompts - it will:
# - Install dependencies
# - Test the server
# - Generate configuration
# - Guide you through Claude Code setup

3. Manual Setup

Add to ~/.config/claude-code/mcp.json:

{
  "mcpServers": {
    "skill-seeker": {
      "command": "python3",
      "args": [
        "/path/to/Skill_Seekers/mcp/server.py"
      ],
      "cwd": "/path/to/Skill_Seekers"
    }
  }
}

Replace /path/to/Skill_Seekers with your actual repository path!

4. Restart Claude Code

Quit and reopen Claude Code (don't just close the window).

5. Test

In Claude Code, type:

List all available configs

You should see a list of preset configurations (Godot, React, Vue, etc.).

Available Tools

The MCP server exposes 6 tools:

1. generate_config

Create a new configuration file for any documentation website.

Parameters:

• name (required): Skill name (e.g., "tailwind")
• url (required): Documentation URL (e.g., "https://tailwindcss.com/docs")
• description (required): When to use this skill
• max_pages (optional): Maximum pages to scrape (default: 100)
• rate_limit (optional): Delay between requests in seconds (default: 0.5)

Example:

Generate config for Tailwind CSS at https://tailwindcss.com/docs

2. estimate_pages

Estimate how many pages will be scraped from a config (fast, no data downloaded).

Parameters:

• config_path (required): Path to config file (e.g., "configs/react.json")
• max_discovery (optional): Maximum pages to discover (default: 1000)

Example:

Estimate pages for configs/react.json

3. scrape_docs

Scrape documentation and build Claude skill.

Parameters:

• config_path (required): Path to config file
• enhance_local (optional): Open terminal for local enhancement (default: false)
• skip_scrape (optional): Use cached data (default: false)
• dry_run (optional): Preview without saving (default: false)

Example:

Scrape docs using configs/react.json

4. package_skill

Package a skill directory into a .zip file ready for Claude upload.

Parameters:

• skill_dir (required): Path to skill directory (e.g., "output/react/")

Example:

Package skill at output/react/

5. list_configs

List all available preset configurations.

Parameters: None

Example:

List all available configs

6. validate_config

Validate a config file for errors.

Parameters:

• config_path (required): Path to config file

Example:

Validate configs/godot.json

Example Workflows

Generate a New Skill from Scratch

User: Generate config for Svelte at https://svelte.dev/docs

Claude: ✅ Config created: configs/svelte.json

User: Estimate pages for configs/svelte.json

Claude: 📊 Estimated pages: 150

User: Scrape docs using configs/svelte.json

Claude: ✅ Skill created at output/svelte/

User: Package skill at output/svelte/

Claude: ✅ Created: output/svelte.zip
      Ready to upload to Claude!

Use Existing Preset

User: List all available configs

Claude: [Shows all configs: godot, react, vue, django, fastapi, etc.]

User: Scrape docs using configs/react.json

Claude: ✅ Skill created at output/react/

User: Package skill at output/react/

Claude: ✅ Created: output/react.zip

Validate Before Scraping

User: Validate configs/godot.json

Claude: ✅ Config is valid!
        Name: godot
        Base URL: https://docs.godotengine.org/en/stable/
        Max pages: 500
        Rate limit: 0.5s

User: Scrape docs using configs/godot.json

Claude: [Starts scraping...]

Architecture

Server Structure

mcp/
├── server.py           # Main MCP server
├── requirements.txt    # MCP dependencies
└── README.md          # This file

How It Works

1. Claude Code sends MCP requests to the server
2. Server routes requests to appropriate tool functions
3. Tools call CLI scripts (doc_scraper.py, estimate_pages.py, etc.)
4. CLI scripts perform actual work (scraping, packaging, etc.)
5. Results returned to Claude Code via MCP protocol

Tool Implementation

Each tool is implemented as an async function:

async def generate_config_tool(args: dict) -> list[TextContent]:
    """Generate a config file"""
    # Create config JSON
    # Save to configs/
    # Return success message

Tools use subprocess.run() to call CLI scripts:

result = subprocess.run([
    sys.executable,
    str(CLI_DIR / "doc_scraper.py"),
    "--config", config_path
], capture_output=True, text=True)

Testing

The MCP server has comprehensive test coverage:

# Run MCP server tests (25 tests)
python3 -m pytest tests/test_mcp_server.py -v

# Expected output: 25 passed in ~0.3s

Test Coverage

• Server initialization (2 tests)
• Tool listing (2 tests)
• generate_config (3 tests)
• estimate_pages (3 tests)
• scrape_docs (4 tests)
• package_skill (2 tests)
• list_configs (3 tests)
• validate_config (3 tests)
• Tool routing (2 tests)
• Integration (1 test)

Total: 25 tests | Pass rate: 100%

Troubleshooting

MCP Server Not Loading

Symptoms:

• Tools don't appear in Claude Code
• No response to skill-seeker commands

Solutions:

1. Check configuration:

   cat ~/.config/claude-code/mcp.json
   

2. Verify server can start:

   python3 mcp/server.py
   # Should start without errors (Ctrl+C to exit)
   

3. Check dependencies:

   pip3 install -r mcp/requirements.txt
   

4. Completely restart Claude Code (quit and reopen)

5. Check Claude Code logs:

   • macOS: ~/Library/Logs/Claude Code/
   • Linux: ~/.config/claude-code/logs/

"ModuleNotFoundError: No module named 'mcp'"

pip3 install -r mcp/requirements.txt

Tools Appear But Don't Work

Solutions:

1. Verify cwd in config points to repository root

2. Check CLI tools exist:

   ls cli/doc_scraper.py
   ls cli/estimate_pages.py
   ls cli/package_skill.py
   

3. Test CLI tools directly:

   python3 cli/doc_scraper.py --help
   

Slow Operations

1. Check rate limit in configs (increase if needed)
2. Use smaller max_pages for testing
3. Use skip_scrape to avoid re-downloading data

Advanced Configuration

Using Virtual Environment

# Create venv
python3 -m venv venv
source venv/bin/activate
pip install -r mcp/requirements.txt
pip install requests beautifulsoup4
which python3  # Copy this path

Configure Claude Code to use venv Python:

{
  "mcpServers": {
    "skill-seeker": {
      "command": "/path/to/Skill_Seekers/venv/bin/python3",
      "args": ["/path/to/Skill_Seekers/mcp/server.py"],
      "cwd": "/path/to/Skill_Seekers"
    }
  }
}

Debug Mode

Enable verbose logging:

{
  "mcpServers": {
    "skill-seeker": {
      "command": "python3",
      "args": ["-u", "/path/to/Skill_Seekers/mcp/server.py"],
      "cwd": "/path/to/Skill_Seekers",
      "env": {
        "DEBUG": "1"
      }
    }
  }
}

With API Enhancement

For API-based enhancement (requires Anthropic API key):

{
  "mcpServers": {
    "skill-seeker": {
      "command": "python3",
      "args": ["/path/to/Skill_Seekers/mcp/server.py"],
      "cwd": "/path/to/Skill_Seekers",
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-your-key-here"
      }
    }
  }
}

Performance

Operation	Time	Notes
List configs	<1s	Instant
Generate config	<1s	Creates JSON file
Validate config	<1s	Quick validation
Estimate pages	1-2min	Fast, no data download
Scrape docs	15-45min	First time only
Scrape (cached)	<1min	With skip_scrape
Package skill	5-10s	Creates .zip

Documentation

• Full Setup Guide: docs/MCP_SETUP.md
• Main README: README.md
• Usage Guide: docs/USAGE.md
• Testing Guide: docs/TESTING.md

Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions

License

MIT License - See LICENSE for details