Human-in-the-Loop Task Manager for AI Agents
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Integrations

Connect Pi to AgentRQ

Connect Pi to AgentRQ over the Agent Client Protocol (ACP) for human-in-the-loop task management.

Pi is a coding agent bridged to the Agent Client Protocol (ACP) via the pi-acp adapter, so it can run behind AgentRQ's gateway with no custom integration code.

Does Pi Support ACP?

Yes, via the pi-acp adapter. Check the pi-mono repository for the exact command that starts it in ACP server mode.

What Connecting via ACP Gets You

Once Pi is bridged through AgentRQ's ACP Gateway, every task it works on shows up on your AgentRQ task board in real time. You can approve risky commands, reply with extra context, or reassign work — from the dashboard or Slack — without touching the terminal Pi is running in.

Connect Pi

Once you have Pi's ACP command from its docs, wrap it with AgentRQ's gateway:

bash 
npx @agentrq/acp-gateway@latest -- pi-acp

Then point it at your workspace with a .mcp.json in your project root:

json 
{
  "mcpServers": {
    "agentrq": {
      "type": "http",
      "url": "https://WORKSPACE_ID.mcp.agentrq.com/mcp?token=TOKEN"
    }
  }
}

See the ACP Gateway guide for the full setup walkthrough, including where to find your Workspace ID and token.

FAQ

Does Pi work with AgentRQ?

Yes — Pi connects via the pi-acp adapter, so it works with AgentRQ through the open-source ACP Gateway with no custom integration code.

How do I connect Pi to AgentRQ?

Run npx @agentrq/acp-gateway@latest -- pi-acp from your project root (check pi-mono for any required flags), with a .mcp.json pointing at your AgentRQ workspace.

What is the Agent Client Protocol (ACP)?

ACP is an open, editor-agnostic protocol that lets any coding agent talk to any client over a standard JSON-RPC interface. AgentRQ's gateway implements the client side of ACP, so any ACP-compatible agent — including Pi — can use AgentRQ as its human-in-the-loop task manager.

References