Cloud Tasks MCP Server

Name: Cloud Tasks MCP Server
Author: gitskyflux

@gitskyflux

リポジトリ

Cloud Tasks MCP Server について

MCP Server to interact with Google Cloud Tasks

基本情報

カテゴリ

その他

ライセンス

MIT license

ランタイム

node

トランスポート

stdio

公開者

gitskyflux

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "cloudtasks-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@gitskyflux/cloudtasks-mcp",
        "--client",
        "claude"
      ]
    }
  }
}

ツール

List all Cloud Tasks queues in a specified location

Get details of a specific Cloud Tasks queue

Pause a Cloud Tasks queue

Resume a paused Cloud Tasks queue

List tasks in a Cloud Tasks queue

Get details of a specific task in a Cloud Tasks queue

Delete a task from a Cloud Tasks queue

概要

What is Cloud Tasks MCP Server?

A Model Context Protocol (MCP) server for Google Cloud Tasks that enables interactions with Google Cloud Tasks queues and tasks. It is designed for use with AI assistants like Claude Desktop to manage task queues programmatically.

How to use Cloud Tasks MCP Server?

Install via Smithery (npx -y @smithery/cli install @gitskyflux/cloudtasks-mcp --client claude) or manually by building the project and adding a configuration entry to claude_desktop_config.json. Set the GOOGLE_CLOUD_LOCATION_PROJECTS environment variable with comma‑separated location:project-id pairs, and place corresponding service account JSON key files in a keys folder.

Key features of Cloud Tasks MCP Server

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

Use cases of Cloud Tasks MCP Server

Pause or resume a specific Cloud Tasks queue on demand
Retrieve the count of pending tasks in a queue
Obtain details of a specific task by its ending ID
Manage queue state directly from an AI assistant conversation

FAQ from Cloud Tasks MCP Server

What does Cloud Tasks MCP Server do?

It acts as a bridge between AI assistants (via the MCP protocol) and Google Cloud Tasks, allowing you to list, get, pause, resume, list tasks, get task details, and delete tasks without leaving the chat interface.

What dependencies or runtime requirements are needed?

The server runs on Node.js and requires service account JSON key files for authentication. It expects a keys folder with one JSON file per project named after the project ID (e.g., keys/google-project-id1.json). The service account must have appropriate Cloud Tasks permissions (e.g., Cloud Tasks Admin).

How do I configure the server for my Google Cloud projects?

Set the GOOGLE_CLOUD_LOCATION_PROJECTS environment variable to a comma‑separated list of location:project-id pairs. The first pair becomes the default project. Example: us-east1:my-project,us-central1:my-project2.

What transports or authentication does it use?

The server uses standard I/O (stdio) as its transport, as configured in the Claude Desktop integration. Authentication is handled via the service account JSON key files placed in the keys folder; the server does not expose any network endpoints.

Are there any known limits or restrictions?

The README does not mention specific limits. However, the server relies on Google Cloud Tasks API quotas and permissions, and operations are limited to the queues and tasks accessible by the configured service accounts.