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mcp-apache-spark-history-server

Active·★ 173·Apache-2.0·Updated 2026-05-29
★ Trending★ LLM Infra

MCP Server for Apache Spark History Server. The bridge between Agentic AI and Apache Spark.

The Kubeflow Spark History MCP Server bridges AI agents with Apache Spark infrastructure, enabling intelligent job analysis, performance monitoring, and failure investigation. It provides 18 specialized MCP tools for querying Spark History Server data, supporting multi-server configurations and AWS integrations.

#apache-spark#big-data#data-processing#kubernetes#mcp#mcp-server#mcp-servers
$ Install
$ pip install mcp-apache-spark-history-server
↗ Visit site★ GitHub
01

Features

01Natural language query of Spark job details
02Performance metrics analysis across applications
03Cross-job comparison for regression detection
04Failure investigation with detailed error analysis
05Multi-server and multi-environment support
02

Compatibility

Python
Python 3.12+
Verified via docs
Apache Spark History Server
Spark History Server
Verified via docs
Kubernetes
Kubernetes (Helm)
Verified via docs
AWS Glue
AWS Glue
Verified via docs
Amazon EMR
Amazon EMR
Verified via docs
03

Quick start

1
$ pip install mcp-apache-spark-history-server
04

Use cases

↳Investigate why a Spark job is running slower than usual
↳Analyze root cause of job failures
↳Compare performance of current and previous job runs
05

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Related searches

mcp-apache-spark-history-server AlternativesBest Dev Tooling Tools 2026Open Source Dev Toolingmcp-apache-spark-history-server Tutorialmcp-apache-spark-history-server Vs Competitorsapache-sparkbig-datadata-processing

Comments

Log in to leave a comment
  • R
    Riley ZhangMay 20, 2026

    Bridge between agentic AI and Apache Spark operational data is well-designed.

  • Rowan Chen
    Rowan ChenMay 12, 2026

    Good for data engineers debugging Spark jobs who want AI assistance.

  • S
    Sam WilsonMar 25, 2026

    Works with standard Spark History Server deployments.

  • B
    Blake WhiteMar 7, 2026

    Spark History Server integration via MCP brings job analytics into AI workflows.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 173
Last commit1d ago
StatusActive
LicenseApache-2.0
CategoryDev Tooling
Trend (30d)
+6.9↑ 0.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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