Transcribe audio locally with faster-whisper or through the OpenAI Whisper API.
Whisper Transcribe is an MCP integration. Transcribe audio locally with faster-whisper or through the OpenAI Whisper API.
The published pypi package is whisper-transcribe-mcp, version 1.1.3. Its declared MCP transport is stdio.
The package declares OPENAI_API_KEY: OpenAI API key. Enables the cloud backend and optional GPT post-processing.; WHISPER_MODEL: Default faster-whisper model size when using the local backend.; WHISPER_POST_PROCESS_MODEL: OpenAI chat model used for optional GPT post-processing..
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.
View the publisher’s registry entry · Project repository · Project website. This profile uses version 1.1.3 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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| Variable | Description | Required |
|---|---|---|
| OPENAI_API_KEY | OpenAI API key. Enables the cloud backend and optional GPT post-processing. | Optional |
| WHISPER_MODEL | Default faster-whisper model size when using the local backend. | Optional |
| WHISPER_POST_PROCESS_MODEL | OpenAI chat model used for optional GPT post-processing. | Optional |
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