Connect Remote MCP
Access your CQ knowledge base from any MCP-compatible AI — ChatGPT, Claude Desktop, Cursor — without installing CQ locally.
What You'll Do
Connect ChatGPT (or any MCP client) to your CQ AI Workspace via mcp.pilab.kr. After setup, you can search knowledge, save snapshots, and check project status from anywhere.
Step 1: Log In
Visit mcp.pilab.kr and log in with GitHub. This creates your OAuth token.
cq auth login # If you haven't alreadyStep 2: Add MCP Server to Your AI Tool
Claude Desktop / Claude Code
Add to your MCP config:
{
"cq-brain": {
"url": "https://mcp.pilab.kr/mcp",
"type": "streamable-http"
}
}ChatGPT
In ChatGPT settings → MCP Servers → Add:
URL: https://mcp.pilab.kr/mcpChatGPT will walk through OAuth — log in with GitHub when prompted.
Cursor
In .cursor/mcp.json:
{
"mcpServers": {
"cq-brain": {
"url": "https://mcp.pilab.kr/mcp",
"type": "streamable-http"
}
}
}Step 3: Use It
Once connected, your AI has access to these tools:
| Tool | What it does |
|---|---|
cq_knowledge_record | Save a conversation snapshot to your knowledge base |
cq_recall | Search your knowledge base |
cq_status | Check project status |
Example: Search knowledge from ChatGPT
"Search my CQ knowledge for WebSocket retry patterns"ChatGPT calls cq_recall → returns your past decisions and code patterns.
Example: Save an idea from Claude Desktop
"Save this conversation as a snapshot — we figured out the caching strategy"Claude calls cq_knowledge_record → stored in Supabase, searchable from any tool.
How It Works
Your AI tool → mcp.pilab.kr/mcp
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Cloudflare Worker (OAuth proxy)
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Supabase Edge Function (MCP server)
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Your knowledge base (Supabase DB)No CQ binary needed on the remote machine. The AI Workspace lives in the cloud.
Next Steps
- ChatGPT → Claude workflow — start ideas in ChatGPT, implement in Claude
- Knowledge Loop — see how preferences evolve across sessions