52
/ 100
6 days ago
glama

Whisper Valet

Enables automated audio restoration, transcription, and speaker diarization via MCP tools for queuing files, monitoring progress, and retrieving speaker-labeled transcripts.

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// key findings
⚠️
Tool descriptions don’t match what handlers do
2 tools describe read intent but their handlers mutate — configure (line 190: f.write_text("\n".join(lines) + "\n")); list_models (line 234: proc = subprocess.run([cfg.mw_cli, "models", "list"],)
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: HF_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretHF_TOKEN
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/yashkotha-whisper-valet-1byf05)](https://m8ven.ai/mcp/yashkotha-whisper-valet-1byf05)
commit: 8cbbaa87efdc3da0aa414f1397fb6e2559f26cab
code hash: 625df345f85d02275e6850783b3a1c12f78b8b7f5db3bec56b22951ea401ab5e
verified: 7/25/2026, 8:48:02 AM
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