Kooma — Bambara AI vs Frenchie

In-depth architectural comparison of the Kooma — Bambara AI and Frenchie 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?

K

Choose Kooma — Bambara AI 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).

Explore Kooma — Bambara AI Details

Choose Frenchie 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 Frenchie Details

Feature & Specification Comparison

Specification	K Kooma — Bambara AI Speech-to-Text	Frenchie Speech-to-Text
Summary	Bambara AI over MCP: text-to-speech, transcription and translation (Bamanankan + more).	OCR, transcription, and image generation for AI agents via MCP.
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": {
    "kooma-bambara-ai": {
      "url": "https://developer.kooma.ai/docs/mcp"
    }
  }
}

{
  "mcpServers": {
    "frenchie": {
      "command": "npx",
      "args": [
        "-y",
        "@lab94/frenchie"
      ]
    }
  }
}

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