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BullMQ MCP Server

@adamhancock

代码仓库

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作者

adamhancock

提交者

Adam Hancock

关于 BullMQ MCP Server

A comprehensive BullMQ MCP (Model Context Protocol) server for managing BullMQ Redis-based job queues. This BullMQ MCP integration enables Claude Code and other AI assistants to interact with BullMQ queues, monitor job status, manage workers, and perform queue operations through

#bullmq#queue-management#ai-integration

BullMQ MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "bullmq": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "ghcr.io/adamhancock/bullmq-mcp:latest"
      ],
      "env": {
        "REDIS_URL": "redis://host.docker.internal:6379"
      }
    }
  }
}

BullMQ MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is BullMQ MCP?

BullMQ MCP is a Model Context Protocol server for managing BullMQ Redis-based job queues. It enables Claude Desktop and other AI assistants to interact with BullMQ queues, monitor job status, manage workers, and perform queue operations through natural language.

How to use BullMQ MCP?

Install via npm, pnpm, yarn, or Docker. Configure Claude Desktop by adding the server to the MCP configuration file with a Redis URL or connection parameters. Use the provided tools such as connect, list_queues, add_job, get_jobs, and others to manage queues and jobs.

Key features of BullMQ MCP

  • Manage connections to multiple Redis instances
  • Perform queue operations: list, pause, resume, drain, clean
  • Add, remove, retry, and promote jobs
  • Monitor job details, logs, and statistics
  • Clean jobs by status with configurable limits
  • Filter jobs by active, waiting, completed, failed, delayed

Use cases of BullMQ MCP

  • Connect to Redis and explore existing BullMQ queues
  • Add a new job to a queue with custom data and options
  • Monitor job progress, view logs, and retry failed jobs
  • Perform queue maintenance: drain, clean, pause, resume
  • Manage multiple environments (dev, staging, production) via separate connections

常见问题

1

How do I connect to a Redis instance?

Use the connect tool with a URL, or provide host, port, password, and db parameters. The server also respects the REDIS_URL environment variable if set.

2

Can I run the server using Docker?

Yes

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