TrimScript

Name: TrimScript
Author: SilverNine

by SilverNineversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.SilverNine/trimscript

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "trimscript": {
      "command": "uvx",
      "args": [
        "trimscript",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add trimscript -- uvx trimscript mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "trimscript": {
      "command": "uvx",
      "args": [
        "trimscript",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "trimscript": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "trimscript",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account SilverNine, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2166 servers in this category
Published to the registry more recently than 51% of the other 2166 servers in this category
Basic checks equal to or better than 100% of the other 2166 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is TrimScript safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 27 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

TrimScript

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

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.

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.

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:

trimscript transcribe talk.mp4

trimscript show talk.mp4 --words # transcript with item ids trimscript remove talk.mp4 w120 w188 --reason "repeats the intro" trimscript fillers talk.mp4 # remove every um and uh trimscript pauses talk.mp4 # tighten pauses over a second trimscript accept talk.mp4 # accept the agent's suggestions trimscript export talk.mp4 -o talk-edit.mp4

Keyboard

Key	Does
drag, Shift+click	select words
⌫	remove the selection, or restore it if it is already removed
Space	play the edit
double-click	play from that word
Tab / Shift+Tab	next / previous suggestion (or edit, when none wait), and listen across it
Enter / Shift+Enter	accept / reject the selected suggestion; a selection accepts every suggestion inside it
L	listen across the selection or a removed part
← → / Shift+← →	move the start / end of a selected removed part by 10 ms
E	correct the text of the selection
⌘Z / Shift+⌘Z	undo / 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 mesh	ACE up the sleeve	Going Long
length	32.9 min	40.2 min	36.2 min
removed (fillers trimmed, pauses tightened)	5.2 min	3.4 min	6.5 min
fillers still heard in the export	9	11	31
export length vs. plan	-0.20 s	-0.16 s	-0.10 s
loudness	-14.1 LUFS	-14.3 LUFS	-14.3 LUFS
transcription	1.2 min	1.8 min	1.7 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

whisper.cpp and the Whisper small.en weights by OpenAI, MIT, run through pywhispercpp, MIT
Optional: Parakeet TDT 0.6B v2 by NVIDIA, CC BY 4.0, in the MLX conversion by mlx-community, run through parakeet-mlx, Apache 2.0 (trimscript[parakeet], --engine parakeet)
noisereduce, MIT
FFmpeg, called as a separate program and not distributed with TrimScript
Editor UI: React, shadcn/ui components on Radix UI, Tailwind CSS, Sonner, clsx and tailwind-merge (MIT), class-variance-authority (Apache 2.0), Lucide icons (ISC, some derived from Feather, MIT). Full license texts ship with the package in THIRD_PARTY_NOTICES.md and src/trimscript/static/THIRD_PARTY_LICENSES.txt.
Demo voice: Dia by Nari Labs, Apache 2.0

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.

TrimScript

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

TrimScript

What it does

Use it with your coding agent

Keyboard

How it works

Tested on real talks

Scope

Credits

Trademarks

License