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Alternatives to mcp-youtube-transcribe

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    • A
      license
      A
      quality
      B
      maintenance
      Enables MCP clients such as Claude Code, Codex and Cursor to retrieve timestamped transcripts of public YouTube videos, either from cache, from native captions, or via asynchronous audio-generation jobs that are polled by job ID. It returns the source URL, selected language and millisecond-offset segments without summarizing the video itself.
      3
      96 npm
      1
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables transcription of YouTube videos by using available captions or falling back to actual audio with local Whisper ASR and multiple free providers. It supports job status, transcript retrieval and search, audio excerpts, and export formats while keeping source links and timestamps.
      10
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.
      287 npm
      1
      MIT
    • F
      license
      A
      quality
      C
      maintenance
      Enables AI assistants to fetch YouTube video metadata, chapters, and timestamped transcripts (including paginated and language-specific caption retrieval) so they can produce summaries, study notes, comparisons, and source-referenced answers. The returned transcript evidence also carries explicit coverage status, letting the assistant know when a transcript is partial or unavailable.
      4
      -
    • A
      license
      A
      quality
      D
      maintenance
      Extracts YouTube video metadata, titles, and descriptions along with transcripts generated from subtitles or OpenAI Whisper speech-to-text. This server enables users to retrieve and analyze detailed video content directly within MCP-compatible environments.
      1
      5 npm
      MIT