Wraps Kokoro TTS and Whisper STT behind three clean tools: text to speech conversion, voice listing, and audio transcription. Built by MEOK AI Labs with EU AI Act compliance hooks baked in. Useful when you need Claude to generate spoken audio from text, switch between different voice profiles, or convert audio files back into text transcripts. Runs over stdio, installs via pip or uvx. The compliance layer adds watermarking and risk management scaffolding if you're shipping customer-facing voice features in regulated contexts. Straightforward Python implementation without external service dependencies for the core transcription and synthesis paths.
mcp-name: io.github.CSOAI-ORG/voice-audio-mcp
By MEOK AI Labs — MEOK AI Labs — Voice & Audio. Transcription, analysis, language detection, and duration estimation.
MEOK AI Labs — Voice & Audio
MEOK AI Labs — Voice & Audio. TTS, voice cloning, audio generation, transcription. Integrates with Kokoro TTS and Whisper STT.
# Install via pip
pip install voice_audio_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install voice-audio-mcp --client claude
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|---|---|
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MIT © CSOAI-ORG
Built with 💜 by MEOK AI Labs · UK Companies House 16939677
MIT — MEOK AI LabsBuild something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — 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
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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).
Once configured, ask your assistant, for example:
transcribe_audio to …"analyze_audio to …"detect_language to …"io.github.xpaysh/social-media
com.thenextgennexus/youtube-media-mcp-server
io.github.ludmila-omlopes/youtube-video-analyzer
csoai-org/social-media-ai-mcp
com.ezbizservices/social-media
io.github.wolflangis/video-loom