mcp-apache-spark-history-server
★ 173
vs
semble
★ 4.5k
mcp-apache-spark-history-server vs semble
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.; semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.
01
TL;DR
Choose mcp-apache-spark-history-server if…Investigate why a Spark job is running slower than usual
Choose semble if…Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
02
Side-by-Side Comparison
03
Features
mcp-apache-spark-history-server01Natural 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
semble01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
04
Use Cases
mcp-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
semble↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
05
Best For
mcp-apache-spark-history-serverTrendingLLM Infra
sembleCode AssistantRAG / Knowledge Base
FAQ
FAQ
What is the difference between mcp-apache-spark-history-server and semble?
Both mcp-apache-spark-history-server and semble are in the Dev Tooling category. mcp-apache-spark-history-server has 173 stars, while semble has 4.5k stars.
Which is better, mcp-apache-spark-history-server or semble?
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 semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
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 semble free or open source?
Yes, semble is open source on GitHub (MIT).
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