Loading…
Transcribe audio locally with faster-whisper or through the OpenAI Whisper API.
Whisper Transcribe is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 70/100. 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 Whisper Transcribe to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx whisper-transcribe-mcp==1.1.3Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-22T13:23:56.66584Z",
"publishedAt": "2026-09-22T13:23:56.66584Z",
"statusChangedAt": "2026-09-22T13:23:56.66584Z"
}
},
"server": {
"name": "io.github.ZahiriNatZuke/whisper-transcribe-mcp",
"title": "Whisper Transcribe",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "1.1.3",
"packages": [
{
"version": "1.1.3",
"transport": {
"type": "stdio"
},
"identifier": "whisper-transcribe-mcp",
"runtimeHint": "uvx",
"registryType": "pypi",
"environmentVariables": [
{
"name": "OPENAI_API_KEY",
"format": "string",
"isSecret": true,
"description": "OpenAI API key. Enables the cloud backend and optional GPT post-processing."
},
{
"name": "WHISPER_MODEL",
"format": "string",
"default": "base",
"description": "Default faster-whisper model size when using the local backend."
},
{
"name": "WHISPER_POST_PROCESS_MODEL",
"format": "string",
"default": "gpt-5.4-nano",
"description": "OpenAI chat model used for optional GPT post-processing."
}
]
}
],
"repository": {
"url": "https://github.com/ZahiriNatZuke/whisper-transcribe-mcp",
"source": "github"
},
"websiteUrl": "https://github.com/ZahiriNatZuke/whisper-transcribe-mcp",
"description": "Transcribe audio locally with faster-whisper or through the OpenAI Whisper API."
}
}