| name | agentrq-bridge |
| description | AgentRQ integration: structured HITL task board, permission gating, and real-time workspace bridge via MCP Streamable HTTP |
| version | 0.1.0 |
| type | extension |
| runtime | python3 |
| entry | plugin.py |
| permissions | ["net","tool","route","widget","read_settings","companion_process","inject_chat"] |
| env_from_settings | ["AGENTRQ_MCP_URL","AGENTRQ_TOKEN"] |
| when_to_use | User wants to interact with an AgentRQ workspace: pull tasks, create tasks for human review, reply to task threads, update task status, or request human permission for sensitive actions.
|
| companion_processes | [{"name":"agentrq_listener","command":["python3","listener.py"],"runtime":"python3"}] |
| timeout_sec | 120 |
| ui_tab | {"tab_id":"dashboard","title":"AgentRQ","icon":"tasks","render":{"kind":"declarative","schema_version":1,"components":["[Truncated]"]}} |
AgentRQ Bridge
Connects Ouroboros to an AgentRQ
workspace via the MCP Streamable HTTP transport. AgentRQ is a task
orchestration platform for structured human-agent collaboration.
What it provides
- 6 agent tools that map to the AgentRQ per-workspace MCP surface:
rq_workspace, rq_pull_next, rq_create_task, rq_reply,
rq_update_status, rq_get_messages.
- Real-time SSE listener — a companion process that holds a
persistent SSE connection to the AgentRQ MCP endpoint and
injects events (new tasks, human replies, permission verdicts)
into Ouroboros chat in real time via the Host Service API.
- Declarative widget showing live workspace connection status.
- Zero external dependencies — uses only Python stdlib (
urllib,
json, socket, signal).
Setup
- Deploy AgentRQ (Docker:
docker pull agentrq/agentrq:latest or
self-host via SETUP.md).
- Create a workspace in the AgentRQ UI. Copy its MCP URL and Token
from the workspace setup modal.
- In Ouroboros Settings → Secrets, add two keys:
AGENTRQ_MCP_URL — the workspace MCP endpoint
(e.g. https://WORKSPACE_ID.mcp.agentrq.com/ or
http://localhost:8080/mcp/WORKSPACE_ID)AGENTRQ_TOKEN — the 16-char workspace token
- Enable this skill and grant the two keys when prompted.
Agent workflow
rq_workspace() → see mission + stats
rq_pull_next() → dequeue next task
rq_update_status(ongoing) → mark task in progress
... do the work ...
rq_reply(task_id, result) → post result to task thread
rq_update_status(completed)→ mark task done
To request human permission for a sensitive action:
rq_create_task(title="Approve: deploy to prod", assignee="human")
→ human sees it in AgentRQ UI, replies allow/deny
rq_get_messages(task_id) → read the verdict
