Cover image
Try Now
2025-04-07

MCP服务器与Google云任务进行交互

3 years

Works with Finder

1

Github Watches

1

Github Forks

0

Github Stars

Cloud Tasks MCP Server

A Model Context Protocol (MCP) server for Google Cloud Tasks that enables interactions with Google Cloud Tasks queues and tasks.

Features

  • List Cloud Tasks queues in a specified location
  • Get details of a specific queue
  • Pause and resume queues
  • List tasks in a queue
  • Get details of a specific task
  • Delete tasks from a queue

Setup

  1. Install dependencies:

    npm install
    
  2. Build the project:

    npm run build
    
  3. Configure Claude Desktop: Add the following to your claude_desktop_config.json:

    "cloudtasks-mcp": {
      "command": "node",
      "args": [
        "/path/to/cloudtasks-mcp/build/index.js"
      ],
      "env": {
        "GOOGLE_CLOUD_LOCATION_PROJECTS": "location:project-id"
      }
    }
    

    Replace the path in args with the actual path to index.js.

    Define a comma-separated list of location:project-id pairs in GOOGLE_CLOUD_LOCATION_PROJECTS. Example: us-east1:google-project-id1,us-central1:google-project-id2 The first listed project is the default.

    The application expects to find .json credential file(s) in the keys folder for each project. Example: keys/google-project-id1.json

    Ensure the relevant cloud service account has appropriate permission to interact with Cloud Tasks, e.g. Cloud Tasks Admin or lesser permission(s).

Available Tools

  • listQueues: List all Cloud Tasks queues in a specified location
  • getQueue: Get details of a specific Cloud Tasks queue
  • pauseQueue: Pause a Cloud Tasks queue
  • resumeQueue: Resume a paused Cloud Tasks queue
  • listTasks: List tasks in a Cloud Tasks queue
  • getTask: Get details of a specific task in a Cloud Tasks queue
  • deleteTask: Delete a task from a Cloud Tasks queue

Example Usage in Claude Desktop

Here are examples of how to use each tool in Claude Desktop:

Pause or Resume a Queue

Pause the special-events queue. Resume the special-events queue.

Get Pending Tasks

How many tasks are currently pending in the special-events queue?

Run a Task in a Paused Queue

Run the task ending with the ID 123456 in the special-events queue.

Development

# Watch mode
npm run dev

相关推荐

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • https://zenepic.net
  • Embark on a thrilling diplomatic quest across a galaxy on the brink of war. Navigate complex politics and alien cultures to forge peace and avert catastrophe in this immersive interstellar adventure.

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • jae-jae
  • MCP服务器使用剧作《无头浏览器》获取网页内容。

  • ravitemer
  • 一个功能强大的Neovim插件,用于管理MCP(模型上下文协议)服务器

  • patruff
  • Ollama和MCP服务器之间的桥梁,使本地LLMS可以使用模型上下文协议工具

  • pontusab
  • 光标与风浪冲浪社区,查找规则和MCP

  • av
  • 毫不费力地使用一个命令运行LLM后端,API,前端和服务。

  • appcypher
  • 很棒的MCP服务器 - 模型上下文协议服务器的策划列表

  • Mintplex-Labs
  • 带有内置抹布,AI代理,无代理构建器,MCP兼容性等的多合一桌面和Docker AI应用程序。

  • chongdashu
  • 使用模型上下文协议(MCP),启用Cursor,Windsurf和Claude Desktop等AI助手客户,以通过自然语言控制虚幻引擎。

    Reviews

    3 (1)
    Avatar
    user_OltCOP9k
    2025-04-17

    I've been using cloudtasks-mcp for a few months now, and it's been an absolute game-changer for managing my cloud tasks. The integration was seamless, and the performance has been rock solid. Kudos to gitskyflux for developing such a robust tool! If you're handling complex cloud tasks, give this a try. Highly recommended!