How do I install the dataproc mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `LOG_LEVEL`, `DATAPROC_CONFIG_PATH` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

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Dataproc MCP Server

A production-ready Model Context Protocol (MCP) server for Google Cloud Dataproc operations. Provides intelligent defaults, comprehensive tooling

Local serverstdioTypeScript

What is the Dataproc MCP Server?

A production-ready Model Context Protocol (MCP) server for Google Cloud Dataproc operations. Provides intelligent defaults, comprehensive tooling, and seamless

The short version

✅ Complete Tool Access - All 22 MCP tools available in Claude.ai
✅ HTTPS Tunneling - Cloudflare tunnel for secure external access
✅ OAuth Authentication - GitHub OAuth for secure authentication
✅ Trusted Certificates - No browser warnings or connection issues
✅ WebSocket Support - Full WebSocket compatibility with Claude.ai
✅ Production Ready - Tested and verified working solution

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
start_dataproc_cluster	Create and start new clusters
create_cluster_from_yaml	Create from YAML configuration
create_cluster_from_profile	Create using predefined profiles
list_clusters	List all clusters with filtering
list_tracked_clusters	List MCP-created clusters
get_cluster	Get detailed cluster information
delete_cluster	Delete existing clusters
get_zeppelin_url	Get Zeppelin notebook URL
submit_hive_query	Submit Hive queries to clusters
submit_dataproc_job	Submit Spark/PySpark/Presto jobs
cancel_dataproc_job	Cancel running or pending jobs
get_job_status	Get job execution status
get_job_results	Get job outputs and results
get_query_status	Get Hive query status

How to install the Dataproc MCP Server

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

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

Variable	Description	Required
LOG_LEVEL	Declared in the maintainer’s client configuration.	Check documentation

Example prompts to try

“Use Dataproc MCP to start dataproc cluster.”
“Use Dataproc MCP to create cluster from yaml.”
“Use Dataproc MCP to create cluster from profile.”

Frequently asked questions

A production-ready Model Context Protocol (MCP) server for Google Cloud Dataproc operations. Provides intelligent defaults, comprehensive tooling, and seamless Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.