58
grade D
2 days ago
glama
MCP Audio RAG Server
Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.
Install from
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// key findings
⚠️
Known vulnerabilities in dependencies: 3 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 2 credentials: GEMINI_API_KEY, SUPABASE_SERVICE_KEY
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.🔐 secret
GEMINI_API_KEY— Create key at [aistudio.google.com/apikey](https://aistudio.google.com/apikey) →🔐 secret
SUPABASE_SERVICE_KEY— Copy service_role key →config
SUPABASE_URL— Copy Project URL →// 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 5 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
[](https://m8ven.ai/mcp/matheusslg-mcp-audio-rag-1oicno)commit: 3e11e4020926c663071424b0061f2d61aa8b456a
code hash: 80e78a8999e9939f5c50b72daaaa33183590496ddd2882b98c7d8d4ba3cafe4f
verified: 4/18/2026, 6:44:45 PM