mcp-apache-spark-history-server: 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-Chinese-Getting-Started-Guide: This guide provides a rapid introduction to the Model Context Protocol (MCP), an open-source protocol standardizing LLM interactions with external data and tools. It demonstrates building and debugging MCP servers, developing MCP clients for LLMs like DeepSeek, and integrating with Claude Desktop.
Investigate why a Spark job is running slower than usual
Enhancing LLMs with real-time web search capabilities