69
/ 100
1 month ago
glama

SpeechPulse

Analyzes speech audio to detect emotions, urgency, and sarcasm using prosodic features.

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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.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: DASHSCOPE_API_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.
configSPEECHPULSE_TIER"": "lite"
configSPEECHPULSE_FRAME_SIZE512 Analysis frame size
configSPEECHPULSE_HOP_SIZE256 Frame hop size
configSPEECHPULSE_HOST
configSPEECHPULSE_PORT
configSPEECHPULSE_USE_GPU
configSPEECHPULSE_GPU_DEVICE
configSPEECHPULSE_WHISPER_MODEL
configSPEECHPULSE_EMOTION2VEC_MODEL
configSPEECHPULSE_QWEN_MODEL
🔐 secretDASHSCOPE_API_KEY
// 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/sophiemiao-speechpulse-17qg77)](https://m8ven.ai/mcp/sophiemiao-speechpulse-17qg77)
commit: 1d2bc4780acf86ebd650a6538317576e033c77c7
code hash: 7f45bf75c50e5df20eb62653ba6124011093d5c3863c92bfe412d0f574eb81eb
verified: 6/18/2026, 10:46:41 AM
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