Kubeflow Spark History MCP Server

MCPOfficialOpen SourceApache-2.071.2

by kubeflow • Uncategorized

An MCP server that connects AI agents to Apache Spark History Server for intelligent job analysis and performance monitoring.

Example Use Cases

1
Query Spark job details and performance metrics using natural language.
2
Analyze and identify bottlenecks and failures in Spark jobs.
3
Compare Spark job executions and environment configurations for regression detection.

Description

This MCP server bridges AI agents with Apache Spark infrastructure, enabling natural language queries on job details, performance analysis, failure investigation, and comparative insights across Spark applications. It supports multiple Spark History Servers, provides 18 specialized analysis tools, and integrates with various AI agents and workflows. The server enhances Spark monitoring by providing actionable recommendations and deep performance insights through AI-driven analysis.

Quick Actions

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Security

Scanned 1 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

C57/100

9/17 checks passed

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Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities0 Tools / 0 Prompts / 0 Resources

Ownerkubeflow

CategoryUncategorized

DependenciesApache Spark History Serverrequired