{"repo":"kubeflow/mcp-apache-spark-history-server","free":true,"listed":false,"github":"https://github.com/kubeflow/mcp-apache-spark-history-server","clone":"git clone https://github.com/kubeflow/mcp-apache-spark-history-server.git","description":"MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.","language":"Python","stars":188,"topics":["apache-spark","kubernetes","mcp","mcp-server","big-data","data-processing"],"license":"Apache-2.0","category":"mcp-servers","readme_excerpt":"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 → --- This project provides two interfaces to your Spark History Server data: 🛠️ SHS CLI ( shs ) ⚡ MCP Server --- --- --- 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 dependencies Python 3.12+, uv Get started CLI docs → MCP docs → 📺 See it in action: --- 🛠️ SHS CLI ( shs ) — For Engineers & Scripts A standalone Go binary. Query your Spark History Server directly from the terminal, shell scripts, or CI/CD pipelines. Also works as a skill for coding agents like Claude Code and Kiro. Install Quick Start CLI documentation for full usage, or check out a real-world example of Claude Code comparing two TPC-DS 3TB benchmark runs. --- ⚡ MCP Server — For AI Agents An MCP (Model Context Protocol) server that exposes Spark History Server data as tools for AI agents. Agents query your Spark infrastructure using natural language — the server handles tool se","default_branch":null,"files":null,"tree":[],"storefront":"/r/kubeflow","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/kubeflow/mcp-apache-spark-history-server/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}