A side-by-side look at the Kooma — Bambara AI and Kurdish Tts Stt MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Kooma — Bambara AI for speech-to-text work over a hosted endpoint; choose Kurdish Tts Stt for speech-to-text. You can also run both side by side in one mcpServers block.
Rows where the two servers differ are marked.
| Spec | K Kooma — Bambara AI | K Kurdish Tts Stt |
|---|---|---|
| Category | Speech-to-Text | Speech-to-Text |
| Quality signal | 37/100 · Fair | 37/100 · Fair |
| Install command | Confirmed | Not confirmed yet |
| Transport | Remote HTTP/SSE | — |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | — | — |
| Directory activity | 0 views 0 installs 0 upvotes | 1 views 0 installs 0 upvotes |
| Tools | Not listed | Not listed |
| Full listing | View Kooma — Bambara AI | View Kurdish Tts Stt |
No tool names declared yet. Check the project README from the listing page.
No tool names declared yet. Check the project README from the listing page.
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
{
"mcpServers": {
"kooma-bambara-ai": {
"url": "https://developer.kooma.ai/docs/mcp"
}
}
}
No confirmed install command for Kurdish Tts Stt yet — follow the setup steps linked from its listing page rather than a guessed package name.