# Hatchet MCP

> Use this tool when you need to integrate AI agents with Hatchet workflows, enabling observation and operation of runs, logs, workers, and metrics, with capabilities to trigger, cancel, or replay workflows. It solves problems of automated workflow management and monitoring, providing inputs such as workflow data and outputs like operational controls. Ideal for use cases requiring autonomous workflow optimization and real-time intervention.

Canonical page: https://skillsregistry.net/skills/elliotpadfield-hatchet-mcp  
JSON: https://api.skillsregistry.net/v1/skills/elliotpadfield-hatchet-mcp

## Description

Let AI agents observe and operate your Hatchet workflows: runs, logs, workers, metrics, plus trigger/cancel/replay.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mu44rlxgau)
- **Repository:** <https://github.com/ElliotPadfield/hatchet-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "elliotpadfield-hatchet-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/elliotpadfield-hatchet-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/elliotpadfield-hatchet-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt