mcp-apache-spark-history-server vs cf-worker-mcp-template
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.; cf-worker-mcp-template: This is a comprehensive skeleton for Cloudflare Workers built with TypeScript. It includes pre-configured features like MCP (Model Context Protocol) tools, OpenAI-compatible embeddings API, and various Cloudflare bindings (KV, D1, R2, Durable Objects). The project also provides a scaffolding tool to generate new MCP tools and includes CI/CD via GitHub Actions.
TL;DR
Investigate why a Spark job is running slower than usual
Building AI assistants with MCP tools
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