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Connect to TypeWhisper on macOS for transcription, history search, and dictionary management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "TypeWhisper MCP" yet — see the docs or source repo.
Use TypeWhisper MCP to transcribe my local file meeting.m4a and return a chronological English summary.
A transcription of the local file, organized into a readable summary or transcript.
Check the current model status through TypeWhisper MCP and tell me whether it is ready for more transcription tasks.
Current model status details and a short note on whether it is ready for continued processing.
Use TypeWhisper MCP to add a dictionary correction for the proper term “AskSkill” and check whether related misspellings appear in history.
A new dictionary or correction entry, plus any relevant history search results or status.
When working with coding agents on macOS, developers can use this MCP tool to connect to the TypeWhisper app and transcribe local files directly. This brings local transcription into an automated workflow.
When users need to revisit earlier transcription records, they can use this tool to search history and quickly find relevant content. It is useful for organizing meetings, interviews, or other voice-processing results.
If transcriptions frequently contain recurring terms, brand names, or people’s names, users can manage dictionary entries and correction rules with this tool. This helps reduce repeated manual fixes.
It is an MCP tool that connects to the TypeWhisper macOS app. Based on the provided information, it can transcribe local files, inspect model status, search history, and manage dictionary terms and corrections.
The provided information shows that it connects to the TypeWhisper macOS app, so that app is at least required. For more specific setup and runtime requirements, see the source repository.
The provided material does not say whether an API key or additional external services are required. For confirmation, see the source repository.
Transcribe audio and video into multiple text formats with batch processing.
Transcribe audio into multilingual text with optional GPT-based post-processing.
Connect AI agents to HyperWhisper for transcription, model control, and recording search.
Transcribe audio or video from URLs or files into usable text.
Download YouTube videos and transcribe speech locally with Whisper.
Transcribe audio to text with speaker diarization for meetings and interviews.