📺 See it in action:

🏗️ Architecture

graph TB
    A[🤖 AI Agent/LLM] --> F[📡 MCP Client]
    B[🦙 LlamaIndex Agent] --> F
    C[🌐 LangGraph] --> F
    D[�️ Claudep Desktop] --> F
    E[🛠️ Amazon Q CLI] --> F

    F --> G[⚡ Spark History MCP Server]

    G --> H[🔥 Prod Spark History Server]
    G --> I[🔥 Staging Spark History Server]
    G --> J[🔥 Dev Spark History Server]

    H --> K[📄 Prod Event Logs]
    I --> L[📄 Staging Event Logs]
    J --> M[📄 Dev Event Logs]

🔗 Components:

• 🔥 Spark History Server: Your existing infrastructure serving Spark event data
• ⚡ MCP Server: This project - provides MCP tools for querying Spark data
• 🤖 AI Agents: LangChain, custom agents, or any MCP-compatible client

⚡ Quick Start

📦 Ready-to-Use Package

The package is published to PyPI: https://pypi.org/project/mcp-apache-spark-history-server/

📋 Prerequisites

• 🔥 Existing Spark History Server (running and accessible)
• 🐍 Python 3.12+
• ⚡ uv package manager

🚀 Setup & Testing

git clone https://github.com/kubeflow/mcp-apache-spark-history-server.git
cd mcp-apache-spark-history-server

# Install Task (if not already installed)
brew ins...