SkillMaxx / Database / Dataproc

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Dataproc

Manage Dataproc clusters and jobs.

PluginDatabaseSource ↗Claude marketplace ↗

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Tested ✓ in 2 of 5

Install

Tested ✓✓ Verified from docsOfficial docs ↗
/plugin install dataproc@claude-plugins-official

Tested ✓ on 2026-10-16: installed and loaded in a throwaway sandbox with no credentials.

Log excerpt
Installing plugin "dataproc@claude-plugins-official"...✔ Successfully installed plugin: dataproc@claude-plugins-official (scope: user)
2 userConfig options not yet set — run /plugin configure dataproc@claude-plugins-official in Claude Code, or pass --config KEY=VALUE.
$ verify:
  ❯ dataproc@claude-plugins-official
    Status: ✔ enabled
1 run, latest 2026-10-16

Dataproc

[!NOTE] Currently in beta (pre-v1.0), and may see breaking changes until the first stable release (v1.0).

This repository packages MCP Toolbox's prebuilt dataproc server as a plugin/extension to interact with Dataproc clusters and jobs. It can be used with various AI agents, including Antigravity, Claude Code and Codex, to manage your clusters, monitor jobs, and troubleshoot issues using natural language prompts.

[!IMPORTANT] We Want Your Feedback! Please share your thoughts with us by filling out our feedback form. Your input is invaluable and helps us improve the project for everyone.

Table of Contents

Why Use Dataproc?

  • Seamless Workflow: Integrates seamlessly into your AI agent's environment. No need to constantly switch contexts for common Dataproc tasks.
  • Natural Language Queries: Stop wrestling with complex gcloud commands. Manage your clusters and jobs by describing what you want in plain English.
  • Full Lifecycle Control: Manage the entire lifecycle of your Dataproc resources, from listing clusters to checking job statuses.

Prerequisites

Before you begin, ensure you have the following:

  • One of these AI agents installed
  • Node.js — the MCP server runs via npx.
  • A Google Cloud project with the Dataproc API enabled.
  • Ensure Application Default Credentials are available in your environment.
  • IAM Permissions:
    • Dataproc Viewer (roles/dataproc.viewer) or Dataproc Editor (roles/dataproc.editor)
Read the full README on GitHub →

Preview from the source repo. Images are removed.

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