Hatchet MCP Server

@ElliotPadfield

Basic information

About Hatchet MCP Server

MCP server for Hatchet — let AI agents observe and operate your workflows: runs, logs, workers, metrics, plus trigger/cancel/replay. Single-token setup, npx-installable.

Hatchet MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "hatchet": {
      "command": "npx",
      "args": [
        "-y",
        "hatchet-mcp"
      ],
      "env": {
        "HATCHET_CLIENT_TOKEN": "<your-hatchet-api-token>"
      }
    }
  }
}

Hatchet MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Hatchet MCP?

Hatchet MCP is a server that allows AI agents, such as Claude Code or Claude Desktop, to observe and operate Hatchet workflows. It wraps the Hatchet API to provide status, runs, logs, workers, and metrics, plus the ability to trigger, cancel, and replay runs.

How to use Hatchet MCP?

Add the server to your MCP configuration using npx -y hatchet-mcp with the required environment variable HATCHET_CLIENT_TOKEN (obtained from the Hatchet dashboard under API tokens). Optionally set HATCHET_API_BASE for self-hosted instances and HATCHET_TENANT_ID to override the tenant decoded from the token. Once configured, agents can invoke the provided tools to interact with Hatchet workflows.

Key features of Hatchet MCP

Read-only observability tools for workflows, runs, logs, workers, and queue metrics
Action tools to trigger, cancel, and replay workflow runs
Single environment variable (HATCHET_CLIENT_TOKEN) encodes server URL and tenant
Works with Hatchet Cloud and self-hosted instances via HATCHET_API_BASE
Built with TypeScript and ESM, tested with vitest

Use cases of Hatchet MCP

Monitor workflow run status, tasks, and errors via an AI assistant
Trigger new workflow runs by name with a JSON input payload
Cancel or replay one or more runs or tasks by external ID
Inspect worker health and queue metrics to assess system load
Debug tasks by fetching log lines during incident response

Frequently asked questions

How do I get the HATCHET_CLIENT_TOKEN?

Obtain the token from the Hatchet dashboard under API tokens. It is a JWT that encodes the server URL and tenant, making it the only required setting.

Can I use Hatchet MCP with a self-hosted Hatchet instance?

Yes. Set the `HATCHET_API_BASE` environment variable to point at your own Hatchet instance and the server will work anywhere.

Which tools modify live state?

The tools `trigger_workflow`, `cancel_runs`, and `replay_runs` mutate live state. Their descriptions are prefixed with “MUTATES LIVE STATE” so agents and users know they affect real runs.

Is the token safe to share or commit?

No. The token grants full tenant access; treat it as a secret and never commit it to source control.

What is the current status of the package?

Version 0.1.0. All tools have been verified against Hatchet Cloud and work with self-hosted instances. The `trigger_workflow` tool uses the stable `/workflow-runs/trigger` endpoint.

Comments

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