FunASR vs QuillHub

In-depth architectural comparison of the FunASR and QuillHub MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose FunASR when:

• You need dedicated capabilities in the Speech-to-Text domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).

Explore FunASR Details

Q

Choose QuillHub when:

• You need dedicated capabilities in the Speech-to-Text domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: search_meeting_transcripts, list_transcriptions, get_transcription.

Explore QuillHub Details

Feature & Specification Comparison

Specification	FunASR Speech-to-Text	Q QuillHub Speech-to-Text
Summary	Transcribe local audio with FunASR and SenseVoice using private, on-device inference.	Meeting transcripts for AI agents: search calls, read who said what, transcribe files and links.
Category & Scope	Speech-to-Text	Speech-to-Text
Quality signal

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "funasr": {
      "command": "uvx",
      "args": [
        "torch"
      ]
    }
  }
}

{
  "mcpServers": {
    "quillhub": {
      "url": "https://mcp.quillhub.ai/mcp"
    }
  }
}

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