Back to Apps

MCP Apache Spark History Server
by kubeflow
Analyze Spark job performance, identify bottlenecks, and investigate failures via AI agents.
0 stars
Works in:ChatGPT
Exposes:Tools
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
- 0
Categories
Choose your AI client and follow the steps below.
ChatGPT
Requires HTTP transport; use the provided streamable-http port 18888 via ngrok or hosted instance.Claude Desktop
{"mcpServers": {"spark-history": {"command": "uvx", "args": ["--from", "mcp-apache-spark-history-server", "spark-mcp"]}}}






