voice-audio-mcp
v1.0.1
Published
Voice Audio MCP server. Tools: text to speech, list voices, transcribe. Built by MEOK AI Labs.
Readme
Voice Audio
By MEOK AI Labs — MEOK AI Labs — Voice & Audio. Transcription, analysis, language detection, and duration estimation.
Voice Audio MCP — MEOK AI Labs. Transcription, audio analysis, language detection, and duration estimation.
Installation
pip install voice-audio-mcpUsage
# Run standalone
python server.py
# Or via MCP
mcp install voice-audio-mcpTools
transcribe_audio
Transcribe audio to text using Whisper STT. Supports local files and multiple languages.
Parameters:
audio_path(str)language(str)model_size(str)timestamps(bool)
analyze_audio
Analyze audio or text for speech characteristics: word count, speaking rate, silence ratio, and complexity.
Parameters:
audio_path(str)text_content(str)
detect_language
Detect the language of text using statistical analysis of word patterns and n-grams.
Parameters:
text(str)
estimate_duration
Estimate audio duration for text or word count at a given speaking rate, accounting for natural pauses.
Parameters:
text(str)word_count(int)speaking_rate_wpm(int)include_pauses(bool)
Authentication
Free tier: 15 calls/day. Upgrade at meok.ai/pricing for unlimited access.
Links
- Website: meok.ai
- GitHub: CSOAI-ORG/voice-audio-mcp
- PyPI: pypi.org/project/voice-audio-mcp
License
MIT — MEOK AI Labs
