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Local MCP voice coach with English pronunciation, grammar, and fluency feedback.
Pronunciation & Voice Coach is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Pronunciation & Voice Coach to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx mcp-server-pronunciation==0.3.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-05-03T03:26:31.66641Z",
"publishedAt": "2026-05-03T03:26:31.66641Z",
"statusChangedAt": "2026-05-03T03:26:31.66641Z"
}
},
"server": {
"name": "io.github.JuhongPark/pronunciation",
"title": "Pronunciation & Voice Coach",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.3.0",
"packages": [
{
"version": "0.3.0",
"transport": {
"type": "stdio"
},
"identifier": "mcp-server-pronunciation",
"runtimeHint": "uvx",
"registryType": "pypi",
"registryBaseUrl": "https://pypi.org",
"environmentVariables": [
{
"name": "MCP_PRONUNCIATION_MODEL",
"description": "faster-whisper model size. Default: base.en. Options: tiny.en, base.en, small.en, medium.en, large-v3, large-v3-turbo."
},
{
"name": "HF_HUB_CACHE",
"description": "Override Hugging Face Hub cache directory where Whisper weights are stored."
},
{
"name": "MCP_PRONUNCIATION_PRELOAD",
"description": "Set to 0, false, no, or off to disable background Whisper model preload during registry inspection or Docker smoke tests."
},
{
"name": "MCP_PRONUNCIATION_AUDIO_RETENTION",
"description": "Temporary WAV retention policy. Use session to delete recordings when the server exits, or keep for manual inspection."
},
{
"name": "TORCH_HOME",
"description": "Override PyTorch cache directory for optional wav2vec2 forced-alignment weights."
}
]
}
],
"repository": {
"url": "https://github.com/JuhongPark/mcp-server-pronunciation",
"source": "github"
},
"description": "Local MCP voice coach with English pronunciation, grammar, and fluency feedback."
}
}