Honest voice authenticity for AI agents: enrol a voice, verify a call clip. Signal, not verdict.
Honest voice authenticity for AI agents: enrol a voice, verify a call clip. Signal, not verdict. The voice mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.
Voice authenticity that's honest about its own limits. It never gives you a bare "REAL / FAKE" — it gives you a confidence signal and a plain disclaimer, because getting this wrong about a real person is harmful.
@mosadd/voice-truthgate-mcp on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
You will need one environment variable: VTG_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by Hei33enberg; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
```json
{ "mcpServers": { "voice-truthgate": {
"command": "npx", "args": ["-y", "@mosadd/voice-truthgate-mcp"],
"env": { "VTG_API_KEY": "vtg_live_your_key" }
} } }Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| VTG_API_KEY | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.