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mcp-apache-spark-history-server vs FunASR
mcp-apache-spark-history-server logo
mcp-apache-spark-history-server
★ 173
vs
FunASR logo
FunASR
★ 16.6k

mcp-apache-spark-history-server vs FunASR

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.; FunASR: FunASR is a fundamental end-to-end speech recognition toolkit. It offers industrial-grade speech recognition, being 170x faster than Whisper, supporting over 50 languages, and integrating features like speaker diarization, emotion detection, and streaming.

01

TL;DR

mcp-apache-spark-history-server logoChoose mcp-apache-spark-history-server if…

Investigate why a Spark job is running slower than usual

FunASR logoChoose FunASR if…

Meeting transcription with speaker labels, timestamps, and punctuation

02

Side-by-Side Comparison

Field
mcp-apache-spark-history-server logomcp-apache-spark-history-server
FunASR logoFunASR
Category
Dev Tooling
Voice / Speech
Stars
★ 173
★ 16.6k
License
Apache-2.0
MIT
Updated
1d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
apache-spark, big-data, data-processing
asr, audio, chinese
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
FunASR logoFunASR
01Extremely fast (170x faster than Whisper)
02Supports 50+ languages
03Built-in Speaker Diarization
04Emotion Detection
05Streaming ASR and vLLM Acceleration
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
FunASR logoFunASR
↳Meeting transcription with speaker labels, timestamps, and punctuation
↳Deployment as an OpenAI-compatible API server
↳Integration with AI agents (e.g., Claude, LangChain, Dify, AutoGen)
05

Best For

mcp-apache-spark-history-server logomcp-apache-spark-history-server
TrendingLLM Infra
FunASR logoFunASR
Most PopularVoice / SpeechLLM Infra
FAQ

FAQ

What is the difference between mcp-apache-spark-history-server and FunASR?
Both mcp-apache-spark-history-server and FunASR are in the Dev Tooling category. mcp-apache-spark-history-server has 173 stars, while FunASR has 16.6k stars.
Which is better, mcp-apache-spark-history-server or FunASR?
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 FunASR if Meeting transcription with speaker labels, timestamps, and punctuation.
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 FunASR free or open source?
Yes, FunASR is open source on GitHub (MIT).
→

Related

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