tts-audio-mcp

MCP server that analyzes TTS audio recordings, providing transcription, quality scoring, pacing analysis, and mispronunciation detection to debug voice call center audio.

→ reactiongears/tts-audio-mcp · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configTTS_PYTHON_BIN— .venv/bin/python3 Python binary with librosa installed

configWHISPER_BINARY— whisper-cli Path to whisper.cpp binary

configWHISPER_MODEL_PATH— ~/Documents/_dev/tts-audio-mcp/models/ggml-large-v3-turbo.bin Path to Whisper model file

// 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

[![M8ven Score](https://m8ven.ai/badge/mcp/reactiongears-tts-audio-mcp-15vjae)](https://m8ven.ai/mcp/reactiongears-tts-audio-mcp-15vjae)

commit: 63930af006dba9d8d02afc324fe74382cb4422af

code hash: bd7a86df0c4030ef180f34be1d3d3fe07cce92cdd85e2075e262f972c7e376c4

verified: 6/22/2026, 12:32:11 PM

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