# celery-flower-mcp

> Use this tool when you need to manage and monitor Celery task queues, allowing for real-time control over workers, tasks, and queues through natural language inputs. It solves problems related to task queue management, worker monitoring, and queue inspection, providing outputs such as task statuses and worker performance metrics. By integrating with Celery Flower's REST API, it enables seamless control and monitoring of distributed task queues.

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

## Description

This MCP server provides AI assistants with full control over Celery task queues by exposing all Celery Flower REST API endpoints as tools. It enables monitoring workers, managing tasks, inspecting queues, and controlling worker pools in real-time through natural language.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n1xhelxz0v)
- **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-mcp"
    }
  }
}
```

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