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proofcut

by tydude001version 0.45.0i★ –iRuns on your computer
Registry nameio.github.tydude001/proofcut

Install

Overview

Description from the maker (original English)

Local-first AI video editor: recordings to a finished film, cut by transcript, then verified

PopNx MCP’s three pillars

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

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?

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": {
    "proofcut": {
      "command": "uvx",
      "args": [
        "proofcut",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add proofcut -- uvx proofcut mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "proofcut": {
      "command": "uvx",
      "args": [
        "proofcut",
        "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": {
    "proofcut": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "proofcut",
        "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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account tydude001, 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 2189 servers in this category
  • Published to the registry more recently than 46% of the other 2189 servers in this category
  • Basic checks equal to or better than 100% of the other 2189 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 proofcut 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 (0.45.0) reached the registry 32 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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Runs on your computer★ 16,165MITUpdated 5 months ago
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Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
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Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
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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.

An AI video editor that proves its cuts. Your recordings in, a finished, mastered film out: cut by transcript, with b-roll, cards, music and captions, and every step an agent can call. proofcut renders on your own machine, then transcribes the render and checks that it says what the edit says.

https://github.com/user-attachments/assets/4153d180-3d7c-4c70-af5f-54d63d0a8bd5

An agent cutting a demo video, unattended, from a goal and no steps.

The two runs it was cut from, uncut

Silent, because the recorder took frames only; the voice is in the film the agent cut. The workspace (2:26) and Claude Code with the proofcut plugin (3:09).

Runs on Linux, where it is developed. macOS and Windows pass the test suite on CI; how far each has gone by hand is § Help wanted.

Quickstart

With uv installed:

uvx proofcut doctor          # only looks: what is missing, and the fix for each

uvx proofcut setup --plan # what an install would fetch, and its size; touches nothing uvx proofcut setup # installs it for you alone, no sudo; --uninstall reverses it

Then make the two-minute demo, or give an agent the tools with the Claude Code plugin. § Try it walks all of it.

Why it exists

Most of the work in a narrated video, whether an essay, a tutorial, a screencast or a talk, is bookkeeping. Find the retakes and cut them clean. Put the right footage under each line. Level the music under the voice, caption it, end on a card, render it, master it. An agent can do that bookkeeping now, given an editor it can drive.

What an agent cannot do on its own is know that the file it rendered is the film it meant. ffmpeg, melt and auto-editor all exit 0 on some failures, so a render can drop a line, keep a retake, add a frame of black or carry no captions and still report success. Every check that reads the project rather than the file agrees with it. The usual way to find out is to watch the whole thing.

proofcut is an editor built around that gap. You, or an agent, edit a timeline addressed by the words in it. proofcut renders it on your machine, then transcribes the render, counts its frames, and says where the file and the edit disagree.

Here it is on the demo project. The retake is cut from the edit, and verify is pointed at a render made before the cut:

proofcut -C proj cut vo 11:23 --pad 0.1

proofcut -C proj verify stale.mp4

"expected_words": 34, "heard_words": 47, "similarity": 0.84, "diff": ["--- timeline", "+++ render", "@@ -10,4 +10,17 @@", " video", " editor", "+every", "+cut", "+you", "+make", "+names", "+a", "+um", "+no", "+let", "+me", "+try", "+that", "+again", " every", " cut"]

The file still says the thirteen words the edit took out, and verify names them. A render of the edit as it stands hears all 34 (DEMO.md step 7).

Run, not staged

TRIAL.md scores three unattended runs, each handed a goal and no steps, and each passed every one of its checks:

  • The demo cut, the one above.
  • Real footage. 96 seconds of narration with its fluffed takes left in, plus four clips of film footage. The agent cut it to 45 seconds, chose footage by what each line was about, burned captions, and checked its own render: all 123 expected words heard back.
  • A whole film. The demo material plus a score, briefed as a finished film ready to upload. In 192 seconds and $2.27 the agent cut it, laid the music under the voice, ended on a card, mastered it to −16 LUFS, and checked it. The score, the level and the end card were each measured in the delivered file, not taken from the project.

How it compares

COMPETITORS.md reads every entry from its source, most recently on 2026-09-28. In short:

  • Transcript editors (the Descript model, and its open-source re-implementations) cut by deleting words, for a person's hands. None of the open ones has an agent surface, and none checks its render.
  • Agent editors over MCP let an agent drive the edit. The nearest render checks among them compare the duration within a tolerance, or transcribe short windows around suspect seams. None diffs the whole render's words against the cut.
  • NLEs (Kdenlive, Resolve, Premiere) are where a person finishes by hand, and DaVinci Resolve 21.1 now ships an MCP server of its own. proofcut exports to them rather than replacing them, and, with the trim brought back by import-edit, verify checks what they deliver.
  • auto-editor removes silences headlessly. proofcut uses it as a render backend.

What proofcut lacks that others have: a check for frozen or silent spans in a render.

What it can do

Every stage from the first import to the delivered file is a proofcut command. No NLE finishes the film, and nothing else touches the render. Each row links the manual section that walks it.

Two video essays of five to six minutes, first finished in Kdenlive, have been rebuilt with these commands alone and measured against the delivered files. One came out the same length to the frame. The other matched all 63 of its voiceover ranges to the millisecond, with the voice aligned to the sample. Both master at the original's −16 LUFS. The measurements are in HISTORY.md.

Beyond those stages:

  • Cuts stay addressable. A word's index never renumbers, so cut vo 111:114 names the same words however many cuts came before it, and a cue hung off a phrase stays addressed through every cut around it.
  • An agent that can look. shot-sheet draws the whole picture track as one labelled grid, and footage-sheet browses a clip you haven't cut yet. Both return the image itself over MCP, not a path the agent can't open.
  • B-roll by description. describe writes what is on screen in each ~10-second window of footage, so an agent can choose a clip by what a line is about.
  • Transcript self-checks. Retake seams, invented words, swallowed repeats and suspect durations are reported when a transcript is attached, and unspoken lets the render itself testify to words nobody said.
  • Reframing for another aspect. Per-shot crop windows, face-aware proposals (reframe-detect), a review sheet, and stacked splits for two speakers. Cards are redrawn at the new frame size, never stretched.
  • Screen recordings. Named instants (events) that a crop, a sound or a speed change can hang off, a clip inset into the recording, and a retime for the slow parts.
  • Animated graphics. A web page, written by an agent or filled from a template (typing, a highlighter sweep, a letter build, chips), captured frame by frame and placed over a span of words. It animates in, holds for the span, and animates out, so a cut never breaks one. A page can show the project's own footage, exact to the frame, and saved graphics carry across projects.
  • Stills and stickers. Photos and cut-outs go in once, upright, and play full frame or ride over the film: placed, sized, turned, framed as a photo card, popping or sliding in. Paste one into the agent's prompt and it is added.
  • Built for agents. 132 MCP tools with typed inputs, structured returns and read/write annotations, so Claude Code, Codex or your own agent can drive it and a permission layer can tell a look from a change.
  • No lock-in. The timeline is OpenTimelineIO, the manifest is JSON, and the render is ffmpeg's and MLT's. Export a .kdenlive or OTIO file and finish anywhere.

How people use it

Tell an agent what film you want. In Claude Code, install the plugin and describe the film: which recording is the voice, what the b-roll is, where the music goes, what it ends on. The agent imports, transcribes, cuts the retakes, hangs footage off the lines it belongs to, scores, masters and checks the render, using proofcut's tools and nothing else. It can look at the picture track as a labelled grid while it works, so it sees what

Only the beginning is shown; read the rest in the repo

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