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Dataproc MCP Server

@dipseth

Repository

Basic information

Category

Other

License

MIT

Transports

stdio

Author

dipseth

About Dataproc MCP Server

Private MCP Dataproc server repository

Dataproc MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Dataproc MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

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.

Frequently asked questions

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.

Comments

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