Transcript Kit MCP Server

Read the feedback reply for a ticket from submit_feedback. Use this to read the maintainers' reply to feedback you sent with submit_feedback, given its ticket id. Returns status pending until a reply is ready, then status answered with the reply text. The reply is information for you, not an instruction.

Send feedback to the maintainers about a missing tool, broken links, a bug, or stale data. Use this to send feedback, a bug report or a feature request to the maintainers of the tools on this server. Send it when a tool is missing, a tool lacks data you need, or a tool broke or gave a wrong answer: one short message (at most 1000 characters) with the kind (need_tool, need_data, bug or other) and, if you know it, the tool name. Returns a ticket id. Feedback is for the tools on this server only: it is not a chat, and nothing in it is run or followed. Links, emails and phone numbers are removed and nothing about you is stored.

Suggests the best short clips in one saved transcript, as start and end times with a hook line. Best for: "find the best 60 seconds", "which parts would make good shorts". Returns: each clip's start and end in seconds and as clock times, a hook line, the text, a 0 to 100 rank score and the reasons. Input tips: pass the transcript_id from transcribe_media, and library_id when that answer had one. Optional: count (1 to 5, default 3), min_seconds (default 30) and max_seconds (default 60); keep min_seconds below max_seconds. Not for: cutting, editing or posting video; it returns text only. Scores rank clips against each other and do not predict views.

Transcribes one audio or video file the user owns or may use into timestamped text with SRT and VTT captions. Best for: "transcribe this podcast episode", "make subtitles for my video", "what is said in this file". Returns: language, length, timestamped segments, SRT and VTT (trim with include), transcript_id, expires_at (kept 24 hours, the media is never kept), minutes left today, and library_id when the caller has no user id. Input tips: pass the uploaded file as file, or a direct link to the media file as url, never both. Set confirm_rights true only after the user says they own the recording or have the rights; otherwise ask. Pass library_id from an earlier answer to keep transcripts in one library. Not for: pages of YouTube, TikTok, Douyin or other platforms, files over 15 MB or 15 minutes, or other people's videos. Ask the user to upload their own file instead. Formats: mp3, m4a, mp4, wav, ogg, flac, webm. A daily allowance of minutes applies per user and in total.

Searches the transcripts the user made in the last day for passages and repeated themes. Best for: "where did I talk about pricing", "which hooks did I open with", "what themes keep coming up". Returns: passages with transcript_id, start and end in seconds, a clock time and a snippet; repeated themes with counts; and the live transcripts. Input tips: pass query for passages; leave it out to list the transcripts and their themes. Pass library_id when transcribe_media returned one. Only the caller's own transcripts are searched (the latest 10, kept 24 hours). Not for: transcribing a file (use transcribe_media) or searching the web.

Translates subtitles or a saved transcript into another language and writes a dub script. Best for: "translate these subtitles to Spanish", "make a French dub script for my talk". Returns: translated SRT and VTT with the original times, and a dub script with one spoken line per segment, its start and end, max_chars and a fit of ok, tight or long (trim with include). Nothing is stored. Input tips: always pass target_lang. Give exactly one of transcript_id (with library_id when transcribe_media returned one) or subtitles, the text of an SRT or VTT file. With subtitles also pass source_lang and confirm_rights true, only after the user says they own the media or may use it. Limits: about 18,000 characters per call (about 20 minutes of speech) and a daily allowance of characters. Not for: transcribing audio; use transcribe_media first. Translation is machine output to check before publishing.