Frenchie vs Ollos MCP
A side-by-side look at the Frenchie and Ollos MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Frenchie for speech-to-text work as a local process; choose Ollos MCP for speech-to-text as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Frenchie when
- You need dedicated capabilities in the Speech-to-Text domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
FRENCHIE_API_KEY.
Choose Ollos MCP when
- You need dedicated capabilities in the Speech-to-Text domain.
- You prefer a local stdio subprocess transport.
- You want tools like
ollos_probe, ollos_transcribe, ollos_keyframes.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Speech-to-Text | Speech-to-Text |
| Quality signal | 37/100 · Fair | 55/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | FRENCHIE_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 0 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | Not listed | 8 |
| Full listing | View Frenchie | View Ollos MCP |
Tools & capabilities
Frenchie tools
No tool names declared yet. Check the project README from the listing page.
Ollos MCP tools 8
ollos_probeWhat the file really is: kind, duration, resolution, aspect (and which platforms it fits), codecs, tracks. Detects Zoom recording folders. Instant.ollos_transcribeWhisper transcription with timestamps. Voice-activity gating skips silence; known hallucinations are filtered; `vocabulary` fixes domain terms.ollos_keyframesThe frames that carry information, packed into 3×3 timestamped contact sheets. Works on screen recordings where scene detection sees nothing.ollos_read_screenOCR of on-screen text plus a **secret scan**: API keys, JWTs, `.env` lines, private deployment URLs. Always masked.ollos_reviewVerdict before publishing: loudness vs platform, silences to cut, aspect ratio, secrets on screen.ollos_framesLook at a sheet or a single frame as an image.ollos_diarizeWho spoke when: pyannote segmentation + WeSpeaker embeddings + clustering, with an 8-second voice clip per speaker so you can name them by ear. Uses Zoom per-participant tracks directly when present. *Experimental — see limits.*ollos_searchHybrid BM25 + multilingual-embedding search over everything transcribed and read, fused by reciprocal rank. Returns passages with timestamps, never whole transcripts.
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.
Frenchie
{
"mcpServers": {
"frenchie": {
"command": "npx",
"args": [
"-y",
"@lab94/frenchie"
],
"env": {
"FRENCHIE_API_KEY": "YOUR_FRENCHIE_API_KEY_HERE"
}
}
}
}
Ollos MCP
{
"mcpServers": {
"ollos-mcp": {
"command": "npx",
"args": [
"-y",
"ollos-mcp"
]
}
}
}
Frequently asked questions
Frenchie is categorized under Speech-to-Text and uses a local stdio subprocess. Ollos MCP belongs to Speech-to-Text and uses a local stdio subprocess. Pick Frenchie for speech-to-text work and Ollos MCP 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.
Frenchie has no declared pricing — check the project's own site. Ollos MCP 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 frenchie and ollos-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Frenchie has a quality signal of 37/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Ollos MCP has 55/100 (Good) with 0 views, 0 installs and 0 GitHub stars.