Voice Audio MCP
mcp-name: io.github.CSOAI-ORG/voice-audio-mcp
Voice Audio
By MEOK AI Labs โ MEOK AI Labs โ Voice & Audio. Transcription, analysis, language detection, and duration estimation.
MEOK AI Labs โ Voice & Audio
MEOK AI Labs โ Voice & Audio. TTS, voice cloning, audio generation, transcription. Integrates with Kokoro TTS and Whisper STT.
๐ Quick Start
# Install via pip
pip install voice_audio_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install voice-audio-mcp --client claude
โจ Features
- MCP protocol compliant
- Easy installation
- Well-documented API
- Production-ready
- Active maintenance
๐ Documentation
๐ก๏ธ Compliance
This MCP server is built with EU AI Act compliance built-in:
- โ Article 9 โ Risk Management System
- โ Article 13 โ Transparency & Instructions for Use
- โ Article 15 โ Bias Detection & Testing
- โ Article 26 โ FRIA Support (where applicable)
- โ Article 50 โ AI Content Watermarking (where applicable)
Need help getting compliant? Book a free 15-min diagnostic โ
๐ข Enterprise
Need custom development, SLA guarantees, or white-label deployment?
- Pro: $99/mo โ Full MCP suite + EU AI Act tracking
- Enterprise: $499/mo โ Custom dev + SLA + Dedicated support
View Pricing โ | Contact Sales โ
๐ค Part of the MEOK Ecosystem
This server is part of the MEOK AI Labs ecosystem โ 300+ MCP servers for sovereign AI governance.
๐ License
MIT ยฉ CSOAI-ORG
MIT โ MEOK AI Labs
Pairs with MEOK Governance Suite
Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool โ EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.
# One-shot install of the governance pack
npx meok-setup --pack governance
Free tier: 10 calls/day per MCP. Pro tier (ยฃ79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.
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Configuration
Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"voice-audio-mcp": {
"command": "uvx",
"args": ["voice-audio-mcp"]
}
}
}
Or: pip install voice-audio-mcp then run the voice-audio-mcp command (stdio transport).
Examples
Once configured, ask your assistant, for example:
- "Use
transcribe_audioto โฆ" - "Use
analyze_audioto โฆ" - "Use
detect_languageto โฆ"