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io.github.IPv6/mcp-transcribe

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by transcribe-app ยท JavaScript

MCP-Transcribe server allows LLMs to interact with the text content of audio/video files

MCP-Transcribe server allows LLMs to interact with the text content of audio/video files. The Local Server can add local files for transcription and return results to your Assistant in seconds, enabling automated task handling across assistants.

๐Ÿ› ๏ธ Key Features

  • โšก Fast, lightweight and LLM-friendly. No special ASR models needed, no setup and fighting Python packages, results in seconds.
  • ๐Ÿ† High-quality transcription of text content from audio/video files.
  • ๐Ÿ“Ž Local file ingestion for secure, on-device processing.

๐Ÿš€ Use Cases

  • Transcribing meetings, lectures, and multimedia content for downstream tasks.
  • Enabling assistants (Claude, Windsurf, Cursor, etc.) to operate on text extracted from media.
  • Automating archives and searchable transcripts for knowledge bases.

โšก Developer Benefits

  • Simple integration for LLM-driven workflows requiring text from media.
  • Local server model minimizes external dependencies and latency.
  • Clear readme excerpt guidance for quick setup and usage.

โš ๏ธ Limitations

  • Source data excerpt truncated; specifics on language support and accuracy are not fully provided.

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