# Celery Flower

> Use this tool when you need to monitor and manage Celery workers and task queues, as it provides a comprehensive REST API for controlling worker pools and queues. It solves problems related to distributed task management, allowing for real-time monitoring and control of Celery clusters. With its REST API interface, it accepts inputs for queue management and outputs real-time worker and task status, making it ideal for use cases requiring centralized Celery management.

Canonical page: https://skillsregistry.net/skills/darius1223-celery-flower  
JSON: https://api.skillsregistry.net/v1/skills/darius1223-celery-flower

## Description

Enables AI assistants to monitor Celery workers and task queues, control worker pools, and manage queues through the complete Celery Flower REST API. Built with FastMCP using async httpx with 99% test coverage and Docker Compose integration testing infrastructure. Published as `celery-flower-mcp` on PyPI.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/darius1223-celery-flower)
- **Repository:** <https://github.com/darius1223/celery-flower-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": "darius1223-celery-flower"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/darius1223-celery-flower` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/darius1223-celery-flower/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