mcp-apache-spark-history-server
View on GitHubMCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.
An MCP server and CLI for querying Apache Spark History Server data. AI agents can inspect applications, investigate failures, analyze job and stage performance, and compare runs across configured servers.
Use Cases
Investigate Spark application failures through an AI agentCompare Spark application runsFind slow jobs and stagesInspect task failures and stack tracesQuery multiple Spark History ServersAutomate Spark job analysis from scripts or CI
Built With
- Language
- Python
- Frameworks
- Model Context Protocol · Apache Spark
Tags
Apache Spark · Spark History Server · MCP server · job analysis · performance debugging · multi-server · CLI · AI agents