by kubeflow · MCP Server · ★ 154
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Kubeflow Spark History MCP Server 🤖 Connect AI agents to Apache Spark History Server for intelligent job analysis and performance monitoring Transform your Spark infrastructure monitoring with AI! This Model Context Protocol (MCP) server enables AI agents to analyze job performance, identify bottlenecks, and provide intelligent insights from your Spark History Server data. 🎯 What is This? Spark History Server MCP bridges AI agents with your existing Apache Spark infrastructure, enabling: 🔍 Query job details through natural language 📊 Analyze performance metrics across applications 🔄 Compare multiple jobs to identify regressions 🚨 Investigate failures with detailed error analys
| Stars | 154 |
| Forks | 54 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 56.352/100 |
| Open Issues | 22 |
| Last Updated | 2026-04-28 |
| Created | 2025-06-26 |
| Platforms | cli, k8s, mcp, python |
| Est. Tokens | ~224k |
These tools work well together with mcp-apache-spark-history-server for enhanced workflows:
Looking for a mcp-apache-spark-history-server alternative? If you're comparing mcp-apache-spark-history-server with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container de
An implementation of Model Context Protocol (MCP) server for Argo CD.
K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely exe
Manage Your Kubernetes Cluster with k8s mcp-server
A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP
A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scal
Explore other popular mcp server tools:
mcp-apache-spark-history-server is MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.. It is categorized as a MCP Server with 154 GitHub stars.
mcp-apache-spark-history-server is primarily written in Python. It covers topics such as apache-spark, big-data, data-processing.
You can find installation instructions and usage details in the mcp-apache-spark-history-server GitHub repository at github.com/kubeflow/mcp-apache-spark-history-server. The project has 154 stars and 54 forks, indicating an active community.
mcp-apache-spark-history-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-apache-spark-history-server on Agent Skills Hub include mcpcan, mcp-for-argocd, k8s-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.