Implement complete Model Context Protocol server providing 6 tools for documentation skill generation: - list_configs: List all available preset configurations - generate_config: Create new config files for any documentation site - validate_config: Validate config file structure and parameters - estimate_pages: Fast page count estimation before scraping - scrape_docs: Full documentation scraping and skill building - package_skill: Package skill directory into uploadable .zip Features: - Async/await architecture for efficient I/O operations - Full MCP protocol compliance - Comprehensive error handling and user-friendly messages - Integration with existing CLI tools (doc_scraper.py, etc.) - 25 unit tests with 100% pass rate 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
423 lines
9.0 KiB
Markdown
423 lines
9.0 KiB
Markdown
# Skill Seeker MCP Server
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Model Context Protocol (MCP) server for Skill Seeker - enables Claude Code to generate documentation skills directly.
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## What is This?
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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:
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- Generate config files for any documentation site
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- Estimate page counts before scraping
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- Scrape documentation and build skills
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- Package skills into `.zip` files
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- List and validate configurations
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## Quick Start
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### 1. Install Dependencies
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```bash
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# From repository root
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pip3 install -r mcp/requirements.txt
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pip3 install requests beautifulsoup4
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```
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### 2. Quick Setup (Automated)
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```bash
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# Run the setup script
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./setup_mcp.sh
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# Follow the prompts - it will:
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# - Install dependencies
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# - Test the server
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# - Generate configuration
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# - Guide you through Claude Code setup
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```
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### 3. Manual Setup
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Add to `~/.config/claude-code/mcp.json`:
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```json
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{
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"mcpServers": {
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"skill-seeker": {
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"command": "python3",
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"args": [
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"/path/to/Skill_Seekers/mcp/server.py"
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],
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"cwd": "/path/to/Skill_Seekers"
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}
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}
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}
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```
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**Replace `/path/to/Skill_Seekers`** with your actual repository path!
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### 4. Restart Claude Code
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Quit and reopen Claude Code (don't just close the window).
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### 5. Test
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In Claude Code, type:
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```
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List all available configs
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```
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You should see a list of preset configurations (Godot, React, Vue, etc.).
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## Available Tools
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The MCP server exposes 6 tools:
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### 1. `generate_config`
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Create a new configuration file for any documentation website.
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**Parameters:**
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- `name` (required): Skill name (e.g., "tailwind")
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- `url` (required): Documentation URL (e.g., "https://tailwindcss.com/docs")
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- `description` (required): When to use this skill
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- `max_pages` (optional): Maximum pages to scrape (default: 100)
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- `rate_limit` (optional): Delay between requests in seconds (default: 0.5)
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**Example:**
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```
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Generate config for Tailwind CSS at https://tailwindcss.com/docs
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```
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### 2. `estimate_pages`
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Estimate how many pages will be scraped from a config (fast, no data downloaded).
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**Parameters:**
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- `config_path` (required): Path to config file (e.g., "configs/react.json")
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- `max_discovery` (optional): Maximum pages to discover (default: 1000)
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**Example:**
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```
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Estimate pages for configs/react.json
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```
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### 3. `scrape_docs`
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Scrape documentation and build Claude skill.
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**Parameters:**
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- `config_path` (required): Path to config file
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- `enhance_local` (optional): Open terminal for local enhancement (default: false)
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- `skip_scrape` (optional): Use cached data (default: false)
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- `dry_run` (optional): Preview without saving (default: false)
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**Example:**
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```
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Scrape docs using configs/react.json
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```
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### 4. `package_skill`
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Package a skill directory into a `.zip` file ready for Claude upload.
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**Parameters:**
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- `skill_dir` (required): Path to skill directory (e.g., "output/react/")
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**Example:**
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```
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Package skill at output/react/
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```
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### 5. `list_configs`
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List all available preset configurations.
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**Parameters:** None
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**Example:**
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```
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List all available configs
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```
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### 6. `validate_config`
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Validate a config file for errors.
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**Parameters:**
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- `config_path` (required): Path to config file
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**Example:**
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```
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Validate configs/godot.json
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```
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## Example Workflows
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### Generate a New Skill from Scratch
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```
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User: Generate config for Svelte at https://svelte.dev/docs
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Claude: ✅ Config created: configs/svelte.json
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User: Estimate pages for configs/svelte.json
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Claude: 📊 Estimated pages: 150
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User: Scrape docs using configs/svelte.json
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Claude: ✅ Skill created at output/svelte/
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User: Package skill at output/svelte/
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Claude: ✅ Created: output/svelte.zip
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Ready to upload to Claude!
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```
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### Use Existing Preset
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```
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User: List all available configs
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Claude: [Shows all configs: godot, react, vue, django, fastapi, etc.]
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User: Scrape docs using configs/react.json
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Claude: ✅ Skill created at output/react/
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User: Package skill at output/react/
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Claude: ✅ Created: output/react.zip
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```
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### Validate Before Scraping
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```
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User: Validate configs/godot.json
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Claude: ✅ Config is valid!
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Name: godot
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Base URL: https://docs.godotengine.org/en/stable/
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Max pages: 500
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Rate limit: 0.5s
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User: Scrape docs using configs/godot.json
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Claude: [Starts scraping...]
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```
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## Architecture
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### Server Structure
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```
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mcp/
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├── server.py # Main MCP server
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├── requirements.txt # MCP dependencies
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└── README.md # This file
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```
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### How It Works
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1. **Claude Code** sends MCP requests to the server
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2. **Server** routes requests to appropriate tool functions
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3. **Tools** call CLI scripts (`doc_scraper.py`, `estimate_pages.py`, etc.)
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4. **CLI scripts** perform actual work (scraping, packaging, etc.)
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5. **Results** returned to Claude Code via MCP protocol
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### Tool Implementation
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Each tool is implemented as an async function:
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```python
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async def generate_config_tool(args: dict) -> list[TextContent]:
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"""Generate a config file"""
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# Create config JSON
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# Save to configs/
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# Return success message
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```
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Tools use `subprocess.run()` to call CLI scripts:
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```python
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result = subprocess.run([
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sys.executable,
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str(CLI_DIR / "doc_scraper.py"),
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"--config", config_path
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], capture_output=True, text=True)
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```
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## Testing
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The MCP server has comprehensive test coverage:
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```bash
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# Run MCP server tests (25 tests)
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python3 -m pytest tests/test_mcp_server.py -v
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# Expected output: 25 passed in ~0.3s
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```
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### Test Coverage
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- **Server initialization** (2 tests)
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- **Tool listing** (2 tests)
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- **generate_config** (3 tests)
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- **estimate_pages** (3 tests)
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- **scrape_docs** (4 tests)
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- **package_skill** (2 tests)
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- **list_configs** (3 tests)
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- **validate_config** (3 tests)
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- **Tool routing** (2 tests)
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- **Integration** (1 test)
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**Total: 25 tests | Pass rate: 100%**
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## Troubleshooting
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### MCP Server Not Loading
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**Symptoms:**
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- Tools don't appear in Claude Code
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- No response to skill-seeker commands
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**Solutions:**
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1. Check configuration:
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```bash
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cat ~/.config/claude-code/mcp.json
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```
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2. Verify server can start:
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```bash
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python3 mcp/server.py
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# Should start without errors (Ctrl+C to exit)
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```
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3. Check dependencies:
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```bash
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pip3 install -r mcp/requirements.txt
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```
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4. Completely restart Claude Code (quit and reopen)
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5. Check Claude Code logs:
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- macOS: `~/Library/Logs/Claude Code/`
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- Linux: `~/.config/claude-code/logs/`
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### "ModuleNotFoundError: No module named 'mcp'"
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```bash
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pip3 install -r mcp/requirements.txt
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```
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### Tools Appear But Don't Work
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**Solutions:**
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1. Verify `cwd` in config points to repository root
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2. Check CLI tools exist:
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```bash
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ls cli/doc_scraper.py
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ls cli/estimate_pages.py
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ls cli/package_skill.py
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```
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3. Test CLI tools directly:
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```bash
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python3 cli/doc_scraper.py --help
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```
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### Slow Operations
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1. Check rate limit in configs (increase if needed)
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2. Use smaller `max_pages` for testing
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3. Use `skip_scrape` to avoid re-downloading data
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## Advanced Configuration
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### Using Virtual Environment
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```bash
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# Create venv
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python3 -m venv venv
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source venv/bin/activate
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pip install -r mcp/requirements.txt
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pip install requests beautifulsoup4
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which python3 # Copy this path
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```
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Configure Claude Code to use venv Python:
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```json
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{
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"mcpServers": {
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"skill-seeker": {
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"command": "/path/to/Skill_Seekers/venv/bin/python3",
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"args": ["/path/to/Skill_Seekers/mcp/server.py"],
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"cwd": "/path/to/Skill_Seekers"
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}
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}
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}
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```
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### Debug Mode
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Enable verbose logging:
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```json
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{
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"mcpServers": {
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"skill-seeker": {
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"command": "python3",
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"args": ["-u", "/path/to/Skill_Seekers/mcp/server.py"],
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"cwd": "/path/to/Skill_Seekers",
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"env": {
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"DEBUG": "1"
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}
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}
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}
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}
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```
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### With API Enhancement
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For API-based enhancement (requires Anthropic API key):
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```json
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{
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"mcpServers": {
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"skill-seeker": {
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"command": "python3",
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"args": ["/path/to/Skill_Seekers/mcp/server.py"],
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"cwd": "/path/to/Skill_Seekers",
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"env": {
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"ANTHROPIC_API_KEY": "sk-ant-your-key-here"
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}
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}
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}
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}
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```
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## Performance
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| Operation | Time | Notes |
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| List configs | <1s | Instant |
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| Generate config | <1s | Creates JSON file |
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| Validate config | <1s | Quick validation |
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| Estimate pages | 1-2min | Fast, no data download |
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| Scrape docs | 15-45min | First time only |
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| Scrape (cached) | <1min | With `skip_scrape` |
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| Package skill | 5-10s | Creates .zip |
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## Documentation
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- **Full Setup Guide**: [docs/MCP_SETUP.md](../docs/MCP_SETUP.md)
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- **Main README**: [README.md](../README.md)
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- **Usage Guide**: [docs/USAGE.md](../docs/USAGE.md)
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- **Testing Guide**: [docs/TESTING.md](../docs/TESTING.md)
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## Support
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- **Issues**: [GitHub Issues](https://github.com/yusufkaraaslan/Skill_Seekers/issues)
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- **Discussions**: [GitHub Discussions](https://github.com/yusufkaraaslan/Skill_Seekers/discussions)
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## License
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MIT License - See [LICENSE](../LICENSE) for details
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