Youtube MCP vs Spoken

In-depth architectural comparison of the Youtube MCP and Spoken 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 Youtube MCP 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: Downloads audio from YouTube videos using yt-dlp, Transcribes audio with OpenAI Whisper-1 model, Outputs full transcripts split by chunks for long videos.

Explore Youtube MCP Details

Choose Spoken when:

• You need dedicated capabilities in the Speech-to-Text domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Freemium).
• Primary tools included: Search episodes by text or Spotify/YouTube URL, List complete podcast episode catalogs, Return timestamped Markdown transcripts.

Feature & Specification Comparison

Specification	Youtube MCP format37 Speech-to-Text	Spoken spokenmd Speech-to-Text
Summary	MCP server that transcribes YouTube videos to text. Uses yt-dlp to download audio and OpenAI's Whisper-1 for more precise transcription than youtube captions. Provide a YouTube URL and get back the full transcript splitted by chunks for long videos.	Fetch published podcast transcripts as clean Markdown with real speaker names (not "Speaker 1") via the Spoken API. Search episodes, get transcripts, check credit balance.
Category & Scope

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": {
    "format37-youtube-mcp": {
      "url": "http://localhost:7001/sse"
    }
  }
}

{
  "mcpServers": {
    "spokenmd-spoken": {
      "command": "npx",
      "args": [
        "-y",
        "spoken-mcp"
      ]
    }
  }
}

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