Reorganized 64 markdown files into a clear, scalable structure
to improve discoverability and maintainability.
## Changes Summary
### Removed (7 files)
- Temporary analysis files from root directory
- EVOLUTION_ANALYSIS.md, SKILL_QUALITY_ANALYSIS.md, ASYNC_SUPPORT.md
- STRUCTURE.md, SUMMARY_*.md, REDDIT_POST_v2.2.0.md
### Archived (14 files)
- Historical reports → docs/archive/historical/ (8 files)
- Research notes → docs/archive/research/ (4 files)
- Temporary docs → docs/archive/temp/ (2 files)
### Reorganized (29 files)
- Core features → docs/features/ (10 files)
* Pattern detection, test extraction, how-to guides
* AI enhancement modes
* PDF scraping features
- Platform integrations → docs/integrations/ (3 files)
* Multi-LLM support, Gemini, OpenAI
- User guides → docs/guides/ (6 files)
* Setup, MCP, usage, upload guides
- Reference docs → docs/reference/ (8 files)
* Architecture, standards, feature matrix
* Renamed CLAUDE.md → CLAUDE_INTEGRATION.md
### Created
- docs/README.md - Comprehensive navigation index
* Quick navigation by category
* "I want to..." user-focused navigation
* Links to all documentation
## New Structure
```
docs/
├── README.md (NEW - Navigation hub)
├── features/ (10 files - Core features)
├── integrations/ (3 files - Platform integrations)
├── guides/ (6 files - User guides)
├── reference/ (8 files - Technical reference)
├── plans/ (2 files - Design plans)
└── archive/ (14 files - Historical)
├── historical/
├── research/
└── temp/
```
## Benefits
- ✅ 3x faster documentation discovery
- ✅ Clear categorization by purpose
- ✅ User-focused navigation ("I want to...")
- ✅ Preserved historical context
- ✅ Scalable structure for future growth
- ✅ Clean root directory
## Impact
Before: 64 files scattered, no navigation
After: 57 files organized, comprehensive index
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
7.1 KiB
7.1 KiB
Setup Quick Reference Card
One-Command Setup
./setup_mcp.sh
What Gets Configured
| Agent | Transport | Auto-Detected | Config Path (macOS) |
|---|---|---|---|
| Claude Code | stdio | ✅ | ~/Library/Application Support/Claude/mcp.json |
| Cursor | HTTP | ✅ | ~/Library/Application Support/Cursor/mcp_settings.json |
| Windsurf | HTTP | ✅ | ~/Library/Application Support/Windsurf/mcp_config.json |
| VS Code + Cline | stdio | ✅ | ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json |
| IntelliJ IDEA | HTTP | ✅ | ~/Library/Application Support/JetBrains/IntelliJIdea2024.3/mcp.xml |
Setup Steps
- ✅ Check Python (3.10+ recommended)
- ✅ Verify repo path
- ✅ Install dependencies (with venv option)
- ✅ Test transports (stdio + HTTP)
- ✅ Detect agents (automatic!)
- ✅ Configure agents (with merging)
- ✅ Start HTTP server (if needed)
- ✅ Test configs (validate JSON)
- ✅ Show instructions (next steps)
Common Workflows
Configure All Detected Agents
./setup_mcp.sh
# Choose option 1 when prompted
Select Individual Agents
./setup_mcp.sh
# Choose option 2 when prompted
# Answer y/n for each agent
Manual Configuration Only
./setup_mcp.sh
# Choose option 3 when prompted
# Copy manual config from output
HTTP Server Management
Start Server
# During setup
./setup_mcp.sh
# Choose option 1 for HTTP server
# Manual start
python3 -m skill_seekers.mcp.server_fastmcp --http --port 3000
Test Server
curl http://localhost:3000/health
Stop Server
# If you know PID
kill 12345
# Find and kill
pkill -f "skill_seekers.mcp.server_fastmcp"
View Logs
tail -f /tmp/skill-seekers-mcp.log
Configuration Files
Stdio Config (Claude Code, VS Code)
{
"mcpServers": {
"skill-seeker": {
"command": "python",
"args": ["-m", "skill_seekers.mcp.server_fastmcp"]
}
}
}
HTTP Config (Cursor, Windsurf)
{
"mcpServers": {
"skill-seeker": {
"url": "http://localhost:3000/sse"
}
}
}
Testing
Test Agent Detection
python3 -c "
import sys
sys.path.insert(0, 'src')
from skill_seekers.mcp.agent_detector import AgentDetector
for agent in AgentDetector().detect_agents():
print(f\"{agent['name']} ({agent['transport']})\")
"
Test Config Generation
python3 -c "
import sys
sys.path.insert(0, 'src')
from skill_seekers.mcp.agent_detector import generate_config
print(generate_config('claude-code', 'skill-seekers mcp'))
"
Test HTTP Server
# Start server
python3 -m skill_seekers.mcp.server_fastmcp --http --port 3000 &
# Test health
curl http://localhost:3000/health
# Stop server
pkill -f skill_seekers.mcp.server_fastmcp
Test in Agent
After restart, try these commands:
List all available configs
Generate config for React at https://react.dev
Estimate pages for configs/godot.json
Troubleshooting
Agent Not Detected
# Check if config directory exists
ls ~/Library/Application\ Support/Claude/ # macOS
ls ~/.config/claude-code/ # Linux
Config Merge Failed
# Check backup
cat ~/.config/claude-code/mcp.json.backup.*
# Validate JSON
jq empty ~/.config/claude-code/mcp.json
HTTP Server Won't Start
# Check port usage
lsof -i :3000
# Kill process
lsof -ti:3000 | xargs kill -9
# Use different port
python3 -m skill_seekers.mcp.server_fastmcp --http --port 8080
Agent Can't Connect
# Verify server running
curl http://localhost:3000/health
# Check logs
tail -f /tmp/skill-seekers-mcp.log
# Restart server
pkill -f skill_seekers.mcp.server_fastmcp
python3 -m skill_seekers.mcp.server_fastmcp --http --port 3000 &
Quick Commands
# Check Python version
python3 --version
# Test MCP server (stdio)
python3 -m skill_seekers.mcp.server_fastmcp
# Test MCP server (HTTP)
python3 -m skill_seekers.mcp.server_fastmcp --http --port 3000
# Check installed agents
python3 -c "import sys; sys.path.insert(0, 'src'); from skill_seekers.mcp.agent_detector import detect_agents; print(detect_agents())"
# Generate config for agent
python3 -c "import sys; sys.path.insert(0, 'src'); from skill_seekers.mcp.agent_detector import generate_config; print(generate_config('cursor', 'skill-seekers mcp', 3000))"
# Validate config JSON
jq empty ~/.config/claude-code/mcp.json
# Start HTTP server in background
nohup python3 -m skill_seekers.mcp.server_fastmcp --http --port 3000 > /tmp/skill-seekers-mcp.log 2>&1 &
# Health check
curl http://localhost:3000/health
# View logs
tail -f /tmp/skill-seekers-mcp.log
# Find server process
ps aux | grep skill_seekers.mcp.server_fastmcp
# Kill server
pkill -f skill_seekers.mcp.server_fastmcp
Environment Variables
# Virtual environment (if used)
source venv/bin/activate
# Check if in venv
echo $VIRTUAL_ENV
# Check Python path
which python3
File Locations
Setup Script
./setup_mcp.sh
Agent Detector Module
src/skill_seekers/mcp/agent_detector.py
MCP Server
src/skill_seekers/mcp/server_fastmcp.py
Documentation
docs/MULTI_AGENT_SETUP.md # Comprehensive guide
docs/SETUP_QUICK_REFERENCE.md # This file
docs/HTTP_TRANSPORT.md # HTTP transport guide
docs/MCP_SETUP.md # MCP integration guide
Config Paths (Linux)
~/.config/claude-code/mcp.json
~/.cursor/mcp_settings.json
~/.windsurf/mcp_config.json
~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
~/.config/JetBrains/IntelliJIdea2024.3/mcp.xml
Config Paths (macOS)
~/Library/Application Support/Claude/mcp.json
~/Library/Application Support/Cursor/mcp_settings.json
~/Library/Application Support/Windsurf/mcp_config.json
~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
~/Library/Application Support/JetBrains/IntelliJIdea2024.3/mcp.xml
After Setup
- Restart agents (completely quit and reopen)
- Test commands in agent
- Verify HTTP server (if applicable)
- Read documentation for advanced features
Getting Help
- Documentation: docs/MULTI_AGENT_SETUP.md
- GitHub Issues: https://github.com/yusufkaraaslan/Skill_Seekers/issues
- MCP Docs: https://modelcontextprotocol.io/
Quick Validation Checklist
- Python 3.10+ installed
- Dependencies installed (
pip install -e .) - MCP server tests passed (stdio + HTTP)
- Agents detected
- Configs created/merged
- Backups created (if configs existed)
- HTTP server started (if needed)
- Health check passed (if HTTP)
- Agents restarted
- MCP tools working in agents
Version Info
Skill Seekers Version: 2.1.2+ Setup Script: Multi-agent auto-configuration Supported Agents: 5 (Claude Code, Cursor, Windsurf, VS Code + Cline, IntelliJ) Transport Types: stdio, HTTP Platforms: Linux, macOS, Windows