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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.

sh
cq auth login    # If you haven't already

Step 2: Add MCP Server to Your AI Tool

Claude Desktop / Claude Code

Add to your MCP config:

json
{
  "cq-brain": {
    "url": "https://mcp.pilab.kr/mcp",
    "type": "streamable-http"
  }
}

ChatGPT

In ChatGPT settings → MCP Servers → Add:

URL: https://mcp.pilab.kr/mcp

ChatGPT will walk through OAuth — log in with GitHub when prompted.

Cursor

In .cursor/mcp.json:

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:

ToolWhat it does
cq_knowledge_recordSave a conversation snapshot to your knowledge base
cq_recallSearch your knowledge base
cq_statusCheck 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


             Cloudflare Worker (OAuth proxy)


             Supabase Edge Function (MCP server)


             Your knowledge base (Supabase DB)

No CQ binary needed on the remote machine. The AI Workspace lives in the cloud.


Next Steps