Is FunASR or n8n-mcp better?

Neither is universally better. FunASR is the stronger fit for Self-hosted speech recognition with VAD, punctuation, and speaker pipelines; n8n-mcp for Giving an AI assistant deep knowledge of n8n's 2,285 workflow nodes. Use the side-by-side specs to decide by your own constraints.

Is FunASR or n8n-mcp free?

FunASR is free to run and self-host; n8n-mcp is free to run and self-host. Both are free to self-host — you only pay for the infrastructure and any model or API usage.

Which is more popular, FunASR or n8n-mcp?

By GitHub stars — a proxy for open-source adoption — n8n-mcp is ahead (23k vs 20k). Stars measure attention, not necessarily the better fit for you.

MCP Servers · Head-to-head

FunASR vs n8n-mcp

FunASR and n8n-mcp are both mcp servers. FunASR is Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API, while n8n-mcp is a MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you. Here's an independent, side-by-side look at how they compare — and which fits.

FunASR

SDK / library· Open source

Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.

Visit FunASR →

n8n-mcp

MCP server· Open source

A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you

Visit n8n-mcp →

Bottom line

FunASR and n8n-mcp are both open-source mcp servers you can self-host for free. FunASR is written primarily in Python; n8n-mcp in TypeScript. Neither is universally better — pick by fit.

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Side by side

Spec	FunASR	n8n-mcp
Type	SDK / library	MCP server
Model	Open source	Open source
Pricing	Open source	Open source
GitHub stars	19,986	22,767
Language	Python	TypeScript
License	MIT	MIT
Last activity	Aug 2026	Aug 2026

Key differences

FunASR is written primarily in Python; n8n-mcp in TypeScript.

Choose FunASR if

Self-hosted speech recognition with VAD, punctuation, and speaker pipelines.

Choose n8n-mcp if

Giving an AI assistant deep knowledge of n8n's 2,285 workflow nodes.

About FunASR

Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.

Full FunASR profile →

About n8n-mcp

A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you

Full n8n-mcp profile →

Frequently asked

What's the main difference between FunASR and n8n-mcp?: FunASR is written primarily in Python; n8n-mcp in TypeScript.
Is FunASR or n8n-mcp better?: Neither is universally better. FunASR is the stronger fit for Self-hosted speech recognition with VAD, punctuation, and speaker pipelines; n8n-mcp for Giving an AI assistant deep knowledge of n8n's 2,285 workflow nodes. Use the side-by-side specs to decide by your own constraints.
Is FunASR or n8n-mcp free?: FunASR is free to run and self-host; n8n-mcp is free to run and self-host. Both are free to self-host — you only pay for the infrastructure and any model or API usage.
Which is more popular, FunASR or n8n-mcp?: By GitHub stars — a proxy for open-source adoption — n8n-mcp is ahead (23k vs 20k). Stars measure attention, not necessarily the better fit for you.

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