Pronunciation & Voice Coach MCP Server

Pronunciation & Voice Coach is an MCP integration. Local MCP voice coach with English pronunciation, grammar, and fluency feedback.

Packages and local setup

The published pypi package is mcp-server-pronunciation, version 0.3.0. Its declared MCP transport is stdio.

The package declares MCP_PRONUNCIATION_MODEL: faster-whisper model size. Default: base.en. Options: tiny.en, base.en, small.en, medium.en, large-v3, large-v3-turbo.; HF_HUB_CACHE: Override Hugging Face Hub cache directory where Whisper weights are stored.; MCP_PRONUNCIATION_PRELOAD: Set to 0, false, no, or off to disable background Whisper model preload during registry inspection or Docker smoke tests.; MCP_PRONUNCIATION_AUDIO_RETENTION: Temporary WAV retention policy. Use session to delete recordings when the server exits, or keep for manual inspection.; TORCH_HOME: Override PyTorch cache directory for optional wav2vec2 forced-alignment weights..

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry · Project repository. This profile uses version 0.3.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

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