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Apache Spark MCP

Updated June 2026

The Apache Spark MCP MCP server, built by community, provides interact with Apache Spark clusters via the Spark REST API and Livy — submit Spark jobs and queries, query application status and executor metrics, retrieve stage and task-level performance data, access driver logs, manage Spark History Server data, run SparkSQL queries via Livy sessions, monitor shuffle and GC metrics, and retrieve DAG visualization data. It is community-built and best for data.

by community

About

Interact with Apache Spark clusters via the Spark REST API and Livy — submit Spark jobs and queries, query application status and executor metrics, retrieve stage and task-level performance data, access driver logs, manage Spark History Server data, run SparkSQL queries via Livy sessions, monitor shuffle and GC metrics, and retrieve DAG visualization data.

Categories

Works With

🟣Claude Desktop⚡Cursor

Frequently Asked Questions

What is Apache Spark MCP?
Apache Spark MCP is an MCP server built by community. Interact with Apache Spark clusters via the Spark REST API and Livy — submit Spark jobs and queries, query application status and executor metrics, retrieve stage and task-level performance data, access driver logs, manage Spark History Server data, run SparkSQL queries via Livy sessions, monitor shuffle and GC metrics, and retrieve DAG visualization data.
Who built Apache Spark MCP?
Apache Spark MCP was built by community.
Is Apache Spark MCP free?
Yes, Apache Spark MCP has a free option. This MCP server is free and open-source. Check the GitHub repository for details.
How do I install Apache Spark MCP?
Install Apache Spark MCP from its GitHub repository: https://github.com/mcp-servers/spark-mcp
What does Apache Spark MCP integrate with?
Apache Spark MCP integrates with Claude Desktop, Cursor.
View on GitHub

Repo Health

Local install

Local/stdio install — runs on your machine, so there is no remote endpoint to verify live. Trust signal below is from the source repo.

Repo recency not yet available for this server.

Quick Info

Install Type
pip
Author
community
Categories
2
Integrations
2

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