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mcp-apache-spark-history-server
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mcp-apache-spark-history-server

Active·★ 205·Apache-2.0·Updated 2026-10-20

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.

mcp-apache-spark-history-server sits in the Dev Tooling category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Natural language query of Spark job details. A representative use case is Investigate why a Spark job is running slower than usual. The listed license is Apache-2.0. GitHub stars are currently 205. Relevant tags include apache-spark, big-data.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

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#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

Why choose it

+Natural language query of Spark job details
+Performance metrics analysis across applications
+Investigate why a Spark job is running slower than usual
+Supports 5 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

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
05

Quick start

1
$ pip install mcp-apache-spark-history-server
06

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
07

Alternatives

⚡Top VS:
VSagentor★214→VSbitbucket-mcp★166→VScloudping★24→

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Alternatives
kubeflow /
mcp-apache-spark-history-server
↗

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

205Apache-2.0
Last commit3d ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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