MCP Fish vs ElevenLabs

In-depth architectural comparison of the MCP Fish and ElevenLabs 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 MCP Fish when:

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

Explore MCP Fish Details

Choose ElevenLabs when:

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

Explore ElevenLabs Details

Feature & Specification Comparison

Specification	MCP Fish Text-to-Speech	ElevenLabs Text-to-Speech
Summary	MCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning)	ElevenLabs in natural language: generate speech in any language, create and manage voices, compose m
Category & Scope	Text-to-Speech	Text-to-Speech
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": {
    "mcp-fish": {
      "command": "uvx",
      "args": [
        "mcp-fish"
      ]
    }
  }
}

{
  "mcpServers": {
    "elevenlabs": {
      "url": "https://api.mcp.ai/p_elevenlabs"
    }
  }
}

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