Enterprise Task Queue Mcp Server

Created By

wizd7 months ago

TaskQueue MCP是一个革命性的企业级Agent执行引擎，核心采用BullMQ作为任务队列基础设施，实现了突破性的双循环分离架构。通过解耦用户对话循环与代理执行循环，该引擎能够执行持续数小时甚至数天的复杂工作流，同时保持完整的执行透明度与控制力。依托BullMQ的高性能分布式任务处理能力，TaskQueue MCP特别适合企业环境中的多系统集成、复杂数据处理和长时间自动化流程。任务执行全程可追踪、可审计，并在关键节点支持人工干预，完美平衡了AI自主性与企业级应用所需的可控性。无论是跨系统业务流程自动化、大型代码库重构还是复杂数据分析项目，这一引擎都为AI代理在企业环境中的应用提供了坚实可靠的执行基础。

# task-queue

# automation

Overview Content Tools Comments

Overview

What is Enterprise Task Queue MCP Server?

The Enterprise Task Queue MCP Server is a revolutionary enterprise-level agent execution engine that utilizes BullMQ as its task queue infrastructure. It features a groundbreaking dual-loop separation architecture that decouples user dialogue loops from agent execution loops, enabling the execution of complex workflows that can last for hours or even days while maintaining full transparency and control.

How to use Enterprise Task Queue MCP Server?

To use the MCP Task Manager, configure the tool in your MCP client (like Claude Desktop or Cursor) and run the command npx taskqueue-mcp. You can also install it globally using npm and access the CLI for task management.

Key features of Enterprise Task Queue MCP Server?

Multi-step task planning with user approval checkpoints
Progress tracking and task status management
Visualization of task details
Enhanced command-line interface for task inspection
Supports multiple LLM providers for generating project plans

Use cases of Enterprise Task Queue MCP Server?

Automating cross-system business processes
Managing large-scale codebase refactoring
Conducting complex data analysis projects

FAQ from Enterprise Task Queue MCP Server?

Can the MCP Server handle long-running tasks?

Yes! It is designed to execute complex workflows that can last for extended periods.

Is user approval required for all tasks?

No, you can configure the system to auto-approve tasks or require manual approval based on your needs.

How can I track task progress?

The system provides detailed tracking and visualization of task statuses and progress metrics.

Server Config

{
  "mcpServers": {
    "taskqueue-local": {
      "command": "npx",
      "args": [
        "-y",
        "taskqueue-mcp"
      ]
    },
    "taskqueue-public": {
      "url": "https://taskqueue-public.vcorp.ai/rest/your-unique-chat-id",
      "stream": true
    }
  }
}

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