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mcp-apache-spark-history-server MCP Server

kubeflow/mcp-apache-spark-history-server

Score: 83.5 ↑ 17.4% Rank #1187 Data Processing
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MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.

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Overview

kubeflow/mcp-apache-spark-history-server is a Python MCP server licensed under Apache-2.0. MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal. Topics: apache-spark, kubernetes, mcp, mcp-server, big-data, data-processing.

Ranked #1187 out of 24846 indexed tools.

In the top 5% of all indexed tools.

Has 16 contributors.

Ecosystem

Python Apache-2.0
apache-sparkkubernetesmcpmcp-serverbig-datadata-processing

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 204

204 stars → growing community

Freshness 25% 15d ago

Last commit 15d ago → recently updated

Issue Health 25% 67%

34/51 issues closed → decent issue management

Contributors 10% 16

16 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 78
Description Good
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for kubeflow/mcp-apache-spark-history-server
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Matched Queries

"mcp server""mcp-server"topic:mcptopic:mcp-server

From the README

# Kubeflow Spark AI Toolkit

> **Connect AI agents and engineers to Apache Spark History Server for intelligent job analysis, performance monitoring, and investigation**

---

> [!IMPORTANT]
> ### ✨ NEW — Spark History Server CLI is now available
> 
>
> A standalone Go binary that queries Spark History Server **directly from your terminal** — no MCP, no AI framework, no daemon process. Inspect jobs, compare runs, investigate failures, and script against the Spark REST API.
>
> **[Get started with the SHS CLI →](skills/cli/README.md)**

---

This project provides **two interfaces** to your Spark History Server data:

| | 🛠️ [SHS CLI (`shs`)](#️-shs-cli-shs--for-engineers--scripts) | ⚡ [MCP Server](#-mcp-server--for-ai-agents) |
|---|---|---|
| **For** | Engineers, shell scripts, CI/CD, coding agents | AI agents and MCP-compatible clients |
| **Mental model** | "I know the command I want to run" | "Agent, investigate this Spark app" |
| **Install** | Single static binary — no dependenci
Read full README on GitHub →

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