mcp-apache-spark-history-server logo
mcp-apache-spark-history-server
★ 205
vs
cf-worker-mcp-template logo
cf-worker-mcp-template
★ 12

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.

01

TL;DR

mcp-apache-spark-history-server logo
mcp-apache-spark-history-serverDev Tooling · ★ 205

Investigate why a Spark job is running slower than usual

cf-worker-mcp-template logo
cf-worker-mcp-templateDev Tooling · ★ 12

Building AI assistants with MCP tools

02

Side-by-Side Comparison

Field
mcp-apache-spark-history-server logomcp-apache-spark-history-server
cf-worker-mcp-template logocf-worker-mcp-template
Category
Dev Tooling
Dev Tooling
Stars
★ 205
★ 12
License
Apache-2.0
—
Install Command
pip install mcp-apache-spark-history-server
npm i
Updated
3d ago
5mo ago
Open Source
Yes
Yes
Tags
apache-spark, big-data, data-processing
cloudflare, mcp, mcp-server
03

Features

mcp-apache-spark-history-server logomcp-apache-spark-history-server
01Natural language query of Spark job details
02Performance metrics analysis across applications
03Cross-job comparison for regression detection
04Failure investigation with detailed error analysis
05Multi-server and multi-environment support
cf-worker-mcp-template logocf-worker-mcp-template
01MCP (Model Context Protocol) support with streamable HTTP and tool scaffolding
02OpenAI-compatible Embeddings API endpoint
03Cloudflare bindings: KV, D1, R2, Durable Objects, AI
04Cron triggers for scheduled tasks
05CI/CD pipeline via GitHub Actions
04

Use Cases

mcp-apache-spark-history-server logomcp-apache-spark-history-server
↳Investigate why a Spark job is running slower than usual
↳Analyze root cause of job failures
↳Compare performance of current and previous job runs
cf-worker-mcp-template logocf-worker-mcp-template
↳Building AI assistants with MCP tools
↳Creating serverless APIs with OpenAI-compatible embeddings
↳Scheduling and automating tasks with cron triggers
FAQ

FAQ

What is the difference between mcp-apache-spark-history-server and cf-worker-mcp-template?
Both mcp-apache-spark-history-server and cf-worker-mcp-template are in the Dev Tooling category. mcp-apache-spark-history-server has 205 stars, while cf-worker-mcp-template has 12 stars.
Which is better, mcp-apache-spark-history-server or cf-worker-mcp-template?
The best choice depends on your use case. Choose mcp-apache-spark-history-server if Investigate why a Spark job is running slower than usual, and cf-worker-mcp-template if Building AI assistants with MCP tools.
Is mcp-apache-spark-history-server free or open source?
Yes, mcp-apache-spark-history-server is open source on GitHub (Apache-2.0).
Is cf-worker-mcp-template free or open source?
Yes, cf-worker-mcp-template is open source on GitHub.
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