vocce
Transcribe local audio/video to text + SRT/VTT with hosted Whisper large-v3, plus summaries, study notes, flashcards, document Q&A, and PDF compression. No API key required — runs via npx -y vocce-transcribe-mcp.
README
vocce — agent integrations
Hosted audio/video transcription for AI agents and automations. No API key. No local model. Upload a file, get back text + SRT + VTT + timestamped segments — powered by Whisper large-v3 on vocce's GPU.
→ Product: https://vocce.io · API docs: https://vocce.io/api · OpenAPI: https://vocce.io/openapi.json
Three ways to use it
1. MCP server — for Claude, Cursor, Windsurf, …
{ "mcpServers": { "vocce": { "command": "npx", "args": ["-y", "vocce-transcribe-mcp"] } } }
Details → transcribe-mcp-server/
2. CLI — Python, stdlib only
python3 transcribe-cli/transcribe.py meeting.mp3 --format srt
Details → transcribe-cli/
3. Agent Skill — drop-in for Claude
See → agent-transcription-skill/
Also in here
- GitHub Action — transcribe in CI →
github-action/ - n8n community node —
n8n-nodes-vocce→n8n-nodes-vocce/ - Function calling (OpenAI / Anthropic) + ChatGPT Action →
integrations/ - Directory submission kits (MCP + Skill) →
distribution/ - MCP registry manifest →
server.json
How it works
Every package is a thin client: it uploads your file to vocce's hosted backend, polls until the job is done, and returns the result. The transcription runs on vocce's GPU — nothing to install, no model to download. The backend is the product; these clients are open source (MIT).
License
MIT
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