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Dataproc MCP Server

@dipseth

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

dipseth

Dataproc MCP Server について

Private MCP Dataproc server repository

Dataproc MCP Server の設定

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": {
    "dataproc-mcp": {
      "command": "npx",
      "args": [
        "@dipseth/dataproc-mcp-server@latest"
      ]
    }
  }
}

Dataproc MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Dataproc MCP Server?

A production-ready Model Context Protocol (MCP) server for Google Cloud Dataproc operations, featuring intelligent parameter injection, enterprise-grade security, and comprehensive tooling. Designed for seamless integration with Roo (VS Code) and also supports Claude.ai web app via HTTPS tunneling and OAuth.

How to use Dataproc MCP Server?

Add the server to your Roo MCP settings using the npx command, or install globally with npm install -g @dipseth/dataproc-mcp-server and run dataproc-mcp-server. For Claude.ai, start the server with HTTP and OAuth flags, then run a Cloudflare tunnel to expose it.

Key features of Dataproc MCP Server

  • 22 production-ready MCP tools for Dataproc management.
  • Semantic search with optional Qdrant integration.
  • Response optimization: 60–96% token reduction.
  • Generic type conversion system for automatic transformations.
  • Enterprise security: input validation, rate limiting, audit logging.
  • Multi‑environment support with smart defaults.

Use cases of Dataproc MCP Server

  • Manage Dataproc clusters, jobs, and configurations from an AI assistant.
  • Submit Hive, Spark, PySpark, Presto jobs with reduced parameters.
  • Monitor job status and cluster analytics in real-time.
  • Semantically search cluster data and knowledge base.
  • Integrate with CI/CD pipelines for automated Dataproc operations.

よくある質問

1

What dependencies does Dataproc MCP Server require?

Requires Node.js; optional Qdrant for semantic search and Cloudflare tunnel for Claude.ai integration.

2

How does authentication work?

Supports service account impersonation, direct service account key, application default credentials, and hybrid authentication with fallbacks.

3

Can Dataproc MCP Server be used with Claude.ai?

Yes, with full compatibility via HTTPS tunneling (Cloudflare) and OAuth authentication.

4

What are smart defaults?

Intelligent parameter injection reduces up to 80% of required parameters for Dataproc operations.

5

Is there automated testing?

Yes, the project maintains 90%+ test coverage with a comprehensive test suite.

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