MCP Servers

Hatchet MCP Server

Enables monitoring and debugging of Hatchet workflows and jobs through MCP clients like Claude Code. Users can list workflows, track run statuses, query queue metrics, and retrieve job results using natural language commands.

README

Hatchet MCP Server

MCP server for debugging and monitoring Hatchet jobs from Claude Code or other MCP clients.

Installation

git clone https://github.com/GJakobi/hatchet-mcp.git
cd hatchet-mcp
uv sync

Configuration

Add to your .mcp.json (Claude Code) or MCP client config:

{
  "mcpServers": {
    "hatchet": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "--directory", "/path/to/hatchet-mcp", "python", "-m", "hatchet_mcp.server"],
      "env": {
        "HATCHET_CLIENT_TOKEN": "your-hatchet-token"
      }
    }
  }
}

Available Tools

Tool	Description
`list_workflows`	List all registered Hatchet workflows
`list_runs`	List workflow runs with filters (workflow_name, status, since_hours, limit)
`get_run_status`	Get status of a specific run by ID
`get_run_result`	Get the output/result of a completed run
`get_queue_metrics`	Get job counts by status (queued, running, completed, failed)
`search_runs`	Search runs by metadata (e.g., audit_id, patient_id)

Example Usage

Once configured in Claude Code:

> List all Hatchet workflows
Uses: mcp__hatchet__list_workflows

> Show me runs that failed in the last 24 hours
Uses: mcp__hatchet__list_runs with status="failed"

> Find all runs for audit_id abc123
Uses: mcp__hatchet__search_runs with metadata_key="audit_id", metadata_value="abc123"

> What's the current queue depth?
Uses: mcp__hatchet__get_queue_metrics

Status Values

queued - Waiting to be processed
running - Currently executing
completed - Finished successfully
failed - Finished with error
cancelled - Manually cancelled

License

MIT

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