kubeflow/mcp-apache-spark-history-server
MCP Server for Apache Spark History Server. The bridge between Agentic AI and Apache Spark.
Implements an MCP-compatible server that exposes 18+ specialized tools for querying Spark History Server data—including job/stage performance analysis, executor metrics, SQL query analysis, and resource utilization tracking. Operates via stdio or HTTP transport, allowing AI agents (LangChain, LlamaIndex, Claude Desktop) to intelligently select and combine tools for job analysis without reimplementing data access logic. Supports multiple Spark History Server instances through YAML configuration, enabling comparative analysis and failure investigation across environments.
135 stars and 628 monthly downloads. Available on PyPI.
Stars
135
Forks
46
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 03, 2026
Monthly downloads
628
Commits (30d)
0
Dependencies
7
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