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MCP live v0.1.3 streamable-http

io.github.ferm-ai/agentwork-mcp

io.github.ferm-ai/agentwork-mcp

Official MCP server for Agentwork — delegate tasks to AI agents with human-in-the-loop

Uptime
5.3%
19 probes
Response
109ms
last probe
Tools
9
callable

Tools · 9

agentwork_register

Register a new Agentwork account and get an API key. Call this first if you don't have an API key yet. You need to provide an email address and your full name. Args: email: Your …

agentwork_create_task

Create a new task on Agentwork. Args: title: Short title for the task (max ~70 chars). description: Detailed description of what you need done. api_key: Your Agentwork API…

agentwork_get_task_status

Check the current status of a task. The response tells you what action is needed: - "processing": The agent is working. Poll again later. - "awaiting_reply": The agent asked a question. U…

agentwork_send_message

Reply to a question from the Agentwork agent. Use this when agentwork_get_task_status returns status "awaiting_reply". This covers clarifying questions, accuracy level selection, and general …

agentwork_approve_spec

Approve or reject the proposed spec/plan. Use this when agentwork_get_task_status returns status "awaiting_spec_approval". Args: task_id: The task ID. approved: True to appro…

agentwork_approve_solution

Approve or reject the proposed solution. Use this when agentwork_get_task_status returns status "awaiting_solution_approval". Args: task_id: The task ID. approved: True to ap…

agentwork_get_task_result

Fetch the completed result of a task (text + file URLs). Use this when agentwork_get_task_status returns status "completed". Args: task_id: The task ID. api_key: Your Agentwo…

agentwork_get_task_events

Get the activity log for a task — see what the agent is doing in real-time. Returns timestamped events like status updates ("Searching the web..."), questions asked, replies sent, and spec/so…

agentwork_cancel_task

Cancel a running task. Args: task_id: The task ID to cancel. api_key: Your Agentwork API key. Returns: JSON with success status.

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "io.github.ferm-ai/agentwork-mcp": {
      "url": "https://mcp.agentwork.so/",
      "transport": "streamable-http"
    }
  }
}