Server data from the Official MCP Registry
Agent media tools: transcribe, summarize, notes, flashcards, doc Q&A, PDF compress. No API key.
About
Agent media tools: transcribe, summarize, notes, flashcards, doc Q&A, PDF compress. No API key.
Security Report
The vocce MCP server and associated tools are well-designed thin clients with no authentication requirements (appropriate for a public hosted service). Code quality is solid with proper input validation, error handling, and no credential storage. Permissions align with purpose — file I/O and network calls to a known hosted backend. Minor code quality observations do not materially impact security. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue (1 critical, 0 high severity).
8 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
What You'll Need
Set these up before or after installing:
Environment variable: VOCCE_API_BASE
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-cmoonagent-vocce-agent": {
"env": {
"VOCCE_API_BASE": "your-vocce-api-base-here"
},
"args": [
"-y",
"n8n-nodes-vocce"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub 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
Reviews
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