
MCP Apache Spark History Server
by kubeflow
Analyze Spark job performance, identify bottlenecks, and investigate failures via AI agents.
What it does
Bridges AI agents with Apache Spark infrastructure, enabling natural language querying of historical job execution data, resource usage, and SQL performance.
Tools
list_applications: Retrieve available Spark applications with filters.get_job_bottlenecks: Identify performance bottlenecks with actionable recommendations.compare_job_performance: Compare metrics between two Spark jobs for regression detection.list_slowest_sql_queries: Find top slowest SQL queries with execution metrics.get_resource_usage_timeline: View chronological resource allocation patterns.
Installation
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"spark-history": {
"command": "uvx",
"args": ["--from", "mcp-apache-spark-history-server", "spark-mcp"]
}
}
}
Supported hosts
Confirmed support for Claude Desktop, Amazon Q CLI, and LangGraph.
Quick install
uvx --from mcp-apache-spark-history-server spark-mcpInformation
- Pricing
- free
- Published
- 4/19/2026
- stars







