# queue-inspector-mcp

> queue-inspector-mcp — yusufihsangorgel-queue-inspector-mcp. Use this tool when you need to monitor and manage job queues, as it provides insights into queue states, job details, and state transitions, supporting Asynq and BullMQ backends with per-state counts. It solves problems related to job queue management, such as monitoring queue health and troubleshooting job processing issues. The tool accepts queue queries as input and outputs detailed queue information, making it ideal for use cases requiring real-time queue inspection and operation.

Canonical page: https://skillsregistry.net/skills/yusufihsangorgel-queue-inspector-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yusufihsangorgel-queue-inspector-mcp

## Description

An MCP server that lets an agent inspect and operate Redis-backed job queues, supporting Asynq and BullMQ backends with per-state counts, job details, and state transitions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lv1a71inim)
- **Repository:** <https://github.com/Yusufihsangorgel/queue-inspector-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": "yusufihsangorgel-queue-inspector-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yusufihsangorgel-queue-inspector-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yusufihsangorgel-queue-inspector-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