MCP.so
Sign In

Hatchet MCP

@ElliotPadfield

About Hatchet MCP

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.

Basic information

Category

Developer Tools

License

MIT

Runtime

node

Transports

stdio

Publisher

ElliotPadfield

Submitted by

Elliot Padfield

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>"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

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

FAQ from Hatchet MCP

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

More Developer Tools MCP servers