TrimScript

io.github.SilverNinePublished by GitHub account SilverNinev0.1.0Updated Oct 24, 2026

Edit video by editing the transcript. Runs locally; agent edits arrive as suggestions you approve.

VerifiedSTDIODesktop onlyProductivity & WorkflowMedia & Design

Overview

AI-generated overview

TrimScript is a local MCP server that lets an assistant read a video's transcript and propose transcript-based edits, which you approve in a desktop editor.

What you can do
Transcribe a local video with whisper.cpp and read the resulting transcript with item ids for words, fillers and pauses, in English only for now. Suggest removals of repeated or unwanted speech, and correct misheard words without touching the media. List pending edits and withdraw suggestions, or apply bulk trims such as removing every um and uh or tightening long pauses. Enhance voice with noise reduction, leveling and loudness normalization. Export MP4, WAV, SRT/VTT captions or FCPXML, with the original file left untouched.
When to use it
Useful for spoken-word recordings such as talks, tutorials, podcasts and interviews where you want an agent to propose cuts from the transcript while you review and accept each one in the editor. Not suited to multitrack editing, screen recording, voice cloning or collaboration.
Requirements
Runs as a local process started with uvx, so it needs uv and ffmpeg installed. The first transcription downloads a whisper.cpp model of about 470 MB. No account, API key or upload is required. Developed on macOS with Apple Silicon; the editor has only been used on macOS so far, though CI covers macOS, Linux and Windows.
Before you install
Agent edits are suggestions that appear in the open editor and are not applied silently; you accept or reject them. If you connect a coding agent, that agent and the model service behind it read the transcript, so the recording's content leaves your machine. The project is early-stage, and undo in the editor only reverts the editor's own change.

Installation

In SourceWeft

  1. Open TrimScript in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

TrimScript

[ci]

Edit video by editing the transcript. Runs on your machine. Free and open source. AI edits arrive as suggestions you approve.

[Removing a restarted intro, trimming fillers, listening through the edits, then tightening pauses]

Delete the restarted intro, Trim fillers, Tab through the edits to listen, Tighten pauses: 48.1 s down to 27.6 s. The demo talk is synthetic: script and slides written for this demo, voice generated with Dia.

▶ Watch the 50-second demo: the same edit, then Claude Code suggesting cuts through the MCP server.

sh
uvx trimscript open my-video.mp4

Needs uv and ffmpeg (brew install ffmpeg, apt install ffmpeg, winget install ffmpeg). Transcription, editing and export run on your machine: no account, no upload. If you connect a coding agent, that agent (and the model service behind it) reads the transcript.

Status: early. Developed on macOS with Apple Silicon. CI runs every push end to end on macOS, Linux and Windows (transcribe, remove, export); the editor itself has only been used on macOS so far.

What it does

  • Transcribes locally with whisper.cpp, prompted to keep every "um" and "uh" instead of tidying them away. English only for now. The first run downloads the model (about 470 MB).
  • Delete text, and the video skips it. Select words, press ⌫. The removed part folds into a small label with the seconds it saves, so the page reads like the finished edit. Select the label and press ⌫ to bring it back, or show all removed text with one switch. The preview skips removed parts as it plays.
  • Trim fillers removes every um and uh in one go, and Tighten pauses shortens every pause over a second, keeping a little silence. Then press Tab to step through the edits and hear a second and a half on either side of each; ⌫ brings one back, ⌘Z brings them all back.
  • Stray sounds jumps to voice between words that has no word in the transcript (a sound the recognizer skipped, a breath, half a word) and plays it. You listen and decide.
  • Fine-tune any join by 10 ms with the arrow keys, listening across it each time.
  • Clean audio: noise, level, gentle compression and loudness to -14 LUFS in one switch. The recording length never changes.
  • Fix misheard words (E) without touching the media. Captions use the corrected text.
  • Export MP4, WAV, SRT/VTT captions, or FCPXML to keep editing in Final Cut Pro or DaVinci Resolve with every edit point still adjustable.
  • Nothing is destroyed. Your edit is one readable JSON file next to the video. The original file is never modified, and exports never overwrite it.

Use it with your coding agent

TrimScript ships an MCP server, so Claude Code, Codex or any MCP client can read the transcript and propose edits. Agent edits never apply silently: they show up in the open editor as suggestions with a reason, and you decide.

sh
claude mcp add trimscript -- uvx trimscript mcp

Then ask things like:

  • "In my-video.mp4 I restart the demo halfway through. Suggest removing the first attempt."
  • "The speaker's product is called Acme, fix it wherever the transcript misheard it."

Tools: transcribe, get_transcript, suggest_removal, correct_text, list_edits, withdraw, enhance_voice, export.

The same actions are on the command line:

sh
trimscript transcribe talk.mp4trimscript show talk.mp4 --words      # transcript with item idstrimscript remove talk.mp4 w120 w188 --reason "repeats the intro"trimscript fillers talk.mp4            # remove every um and uhtrimscript pauses talk.mp4             # tighten pauses over a secondtrimscript accept talk.mp4             # accept the agent's suggestionstrimscript export talk.mp4 -o talk-edit.mp4

Keyboard

KeyDoes
drag, Shift+clickselect words
⌫remove the selection, or restore it if it is already removed
Spaceplay the edit
double-clickplay from that word
Tab / Shift+Tabnext / previous suggestion (or edit, when none wait), and listen across it
Enter / Shift+Enteraccept / reject the selected suggestion; a selection accepts every suggestion inside it
Llisten across the selection or a removed part
← → / Shift+← →move the start / end of a selected removed part by 10 ms
Ecorrect the text of the selection
⌘Z / Shift+⌘Zundo / redo

How it works

  • Every removed part covers a run of transcript items (words, fillers, pauses). The time to remove is derived from the words, so the preview and the export always agree.
  • Edit points land midway between words, or keep a little silence when they meet a pause. Recognizers tend to stretch the last word of a sentence over the silence after it; TrimScript pulls word edges back to where the voice actually ends.
  • Exports split on whole video frames and slice audio to about a millisecond, so sound never drifts from picture however many edits there are.
  • The editor, the CLI and the MCP server all read and write the same project file. Edit from anywhere; the open editor updates live. Undo in the editor only reverts the editor's own change.

Tested on real talks

Three single-speaker talks from 38C3. For each: transcribe, trim fillers, tighten pauses, export with Clean audio on, then transcribe the export again with a larger model (Whisper large-v3-turbo) to check what is left.

LoRa meshACE up the sleeveGoing Long
length32.9 min40.2 min36.2 min
removed (fillers trimmed, pauses tightened)5.2 min3.4 min6.5 min
fillers still heard in the export91131
export length vs. plan-0.20 s-0.16 s-0.10 s
loudness-14.1 LUFS-14.3 LUFS-14.3 LUFS
transcription1.2 min1.8 min1.7 min
  • 582 fillers trimmed across the three talks; 51 could still be heard after export. Filler counts are what the recognizer heard, not a judgment of any speaker.
  • 3.0 to 4.5% of kept words read differently in the second transcript. Most of them sit away from any edit point: two different recognizers hearing jargon differently, not edits clipping words.
  • Measured on an M1 Pro. Method and raw numbers: spikes/e2e-real.

Talks: "Building Your First LoRa Mesh Network From Scratch" by WillCrash, "ACE up the sleeve: Hacking into Apple's new USB-C Controller" by stacksmashing, and "Going Long! Sending weird signals over long haul optical networks" by Ben Cartwright-Cox. Recorded by the C3VOC at 38C3 and published on media.ccc.de under CC BY 4.0. The recordings are not part of this repository and were not modified; only measurements are reported. The speakers have not reviewed or endorsed TrimScript.

Scope

Editing recorded speech through its transcript is a long-standing idea, in research since at least Whittaker and Amento's "Semantic Speech Editing" (CHI 2004) and Berthouzoz, Li and Agrawala's "Tools for Placing Cuts and Transitions in Interview Video" (SIGGRAPH 2012), and in many editors since. TrimScript is a small, independent, local take on it for spoken-word recordings: talks, tutorials, podcasts, interviews.

It has no multitrack timeline, screen recorder, voice cloning or collaboration. Export FCPXML when you need a full editor.

Credits

Trademarks

Final Cut Pro is a trademark of Apple Inc. DaVinci Resolve is a trademark of Blackmagic Design. Claude Code is a trademark of Anthropic. Codex is a trademark of OpenAI. They are named only to say what TrimScript works with. TrimScript is an independent project and is not affiliated with, sponsored by or endorsed by any of these companies.

License

MIT. See LICENSE.

Source: README.md at commit b7d12da

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.0LatestOct 10, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts