Kooma — Bambara AI vs Oruk Speech
A side-by-side look at the Kooma — Bambara AI and Oruk Speech MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
K
Kooma — Bambara AISpeech-to-Text · Remote HTTP/SSEBambara AI over MCP: text-to-speech, transcription and translation (Bamanankan + more).37FairAuth: not declaredO
Oruk SpeechSpeech-to-Text · Remote HTTP/SSEHosted speech-to-text + speech emotion/tone analysis for agents. No install; trial keys built in.42FairAuth: not declaredVerdict: choose Kooma — Bambara AI for speech-to-text work over a hosted endpoint; choose Oruk Speech for speech-to-text over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
KChoose Kooma — Bambara AI when
- You need dedicated capabilities in the Speech-to-Text domain.
- You prefer a remote HTTP/SSE transport.
OChoose Oruk Speech when
- You need dedicated capabilities in the Speech-to-Text domain.
- You prefer a remote HTTP/SSE transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | K Kooma — Bambara AI | O Oruk Speech |
|---|---|---|
| Category | Speech-to-Text | Speech-to-Text |
| Quality signal | 37/100 · Fair | 42/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Remote HTTP/SSE |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner |
Tools & capabilities
Kooma — Bambara AI tools
No tool names declared yet. Check the project README from the listing page.
Oruk Speech tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
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.
Kooma — Bambara AI
{
"mcpServers": {
"kooma-bambara-ai": {
"url": "https://developer.kooma.ai/docs/mcp"
}
}
}
Oruk Speech
{
"mcpServers": {
"oruk-speech": {
"url": "https://oruk.ai/docs/mcp"
}
}
}
Frequently asked questions
Kooma — Bambara AI is categorized under Speech-to-Text and uses a remote HTTP/SSE transport. Oruk Speech belongs to Speech-to-Text and uses a remote HTTP/SSE transport. Pick Kooma — Bambara AI for speech-to-text work and Oruk Speech for speech-to-text.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Kooma — Bambara AI has no declared pricing — check the project's own site. Oruk Speech has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add kooma-bambara-ai and oruk-speech as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Kooma — Bambara AI has a quality signal of 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Oruk Speech has 42/100 (Fair) with 1 views, 0 installs and 0 GitHub stars.
