kubeflow/mcp-apache-spark-history-server
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The MCP Server for Apache Spark History Server connects AI agents to Spark infrastructure for intelligent job analysis and performance monitoring.
Tools
Functions exposed to the LLM to take actions
list_applications
Get a list of all applications available on the Spark History Server with optional filtering by status, date ranges, and limits
get_application
Get detailed information about a specific Spark application including status, resource usage, duration, and attempt details
list_jobs
Get a list of all jobs for a Spark application with optional status filtering
list_slowest_jobs
Get the N slowest jobs for a Spark application (excludes running jobs by default)
list_stages
Get a list of all stages for a Spark application with optional status filtering and summaries
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client