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WeftCut

Organization
WeftCut

Free, open-source AI video editor for macOS, Windows and Linux — drive the whole timeline from any MCP client.

PublisherWeftCut
RepositoryWeftCut
LanguageTypeScript
Forks
6
Stars
19
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    WeftCut exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    19 stars and 6 forks from the linked repository.

[!NOTE] WeftCut is still under active development, so some features and UI/UX may change before v1.0.0. Join us to improve the project!

An agent editing the timeline live over MCP

Most editors bolt AI on as a feature: a button that generates something, a sidebar that suggests a cut. WeftCut exposes the editor itself as a tool surface. A localhost MCP server publishes all editing tools — place, trim, split, restyle, keyframe, group, caption, mix, checkpoint — and whatever agent you already have open drives them. The intelligence lives outside the app: the installer bundles no model weights, and the local engines for speech and vision are an opt-in download when you want them.

None of that rides on a stripped-down editor. Everything an agent can reach, you can do by hand, in a full NLE: A/B-roll timeline, keyframes with a curve editor, effects, captions, a role-based audio mixer, and hardware-accelerated export.

Quick start

[!NOTE]

We don't have a verified macOS installer yet, so allow it under System Settings → Privacy & Security → Open Anyway

  1. Download the installer for your platform from the releases page.
  2. Install the app, open the settings panel, and copy the prompt that teaches your agent how to connect to WeftCut.
  3. Enjoy your work.

Hand your timeline to an agent

Copy the prompt in settings into your client, and your agent is holding the editor.

  • It edits the project you are watching. No import/export round trip, no separate headless copy.
  • You can always see what it did. Every tool call becomes a row in the Agent panel — Trimmed clip · Ember.mp4, Added marker · Needs a look — and the status bar echoes it. Nothing happens off the record.
  • Every batch is reversible. Agents checkpoint at logical boundaries, and each checkpoint is one click from being restored. The agent can also rehearse a whole multi-step edit against a throwaway clone first (dry_run) and find the collision before it touches your project.
  • Multi-agent, with rules. Sessions are per-connection. An agent that is mid-batch can set_history_lock so a stray Ctrl-Z doesn't land in the middle of its work — and the lock, plus the reason it gave, is shown to you.

For a longer run, an agent can call begin_agent_session and fold the UI down to preview, scrub, and a record of what it is doing:

Agent mode — the activity panel while an agent works

Code as video: Motifs

A Motif is an on-screen element written as code — a real web page (HTML, CSS, SVG, canvas, WebGL, whatever you reach for) dropped on the timeline as a layer. It isn't a fixed preset: the author declares the knobs, and the inspector builds the form from that declaration, so seconds, label and accent below are editable in the app.

The one rule that makes it an editor feature instead of a screen recording: a Motif renders as a pure function of time. It never advances itself. The harness owns the clock and drives the page to each composition frame, so the same t always yields the same pixels — when you scrub, when you re-export, and in preview and export alike.

js
// The built-in Countdown's whole script, near enough verbatim — the rest of the
// file is the SVG ring it animates. `props` is whatever the manifest declares;
// `frame` runs once per composition frame and keeps no state of its own.
motif.define({
  setup: async function (props, ctx) {
    _label = props.label != null ? String(props.label) : "GO";
    num.style.color = props.accent;
    ring.style.stroke = props.accent;
    ring.setAttribute("stroke-dasharray", C);
    ring.animate([{ strokeDashoffset: 0 }, { strokeDashoffset: C }],
      { duration: ctx.duration * 1000, easing: "linear", fill: "both" });
  },
  frame: function (t, ctx) {
    var n = Math.max(0, Math.ceil(ctx.duration - t));
    num.textContent = n > 0 ? String(n) : _label;
  },
});

A Motif on the timeline, with its props in the inspector

Writing a web page is the thing coding agents are already best at — so an agent can author a brand-new overlay for your edit instead of picking one from a catalog. The authoring spec ships inside the app as an agent skill, so the model gets the contract without you pasting documentation.

Lower thirds, countdowns, karaoke text and animated title cards are the obvious uses. Anything you can build on a page is the actual limit.

A complete editor underneath

WeftCut editor

Timeline — A/B-roll rows with filmstrips and waveforms, frame-accurate SMPTE editing, ripple delete that closes the gap behind it, linked A/V that trims as one clip, cross-track groups, and nested compositions. Agent: move_layer · trim_layer · split_layer · ripple_delete_gap · create_link · create_group · move_layers_to_composition

Keyframes — animate any parameter, with bézier easing, a curve editor, tangent control, motion paths and extrapolation. Agent: set_keyframe · update_keyframe · smooth_keyframes · set_extrapolation

Speech and captions — transcribe a clip and get editable caption layers packed onto your caption tracks; import SRT/VTT/ASS the same way. Transcription runs against a cloud provider, or entirely on your machine once you let the app fetch a local engine (whisper.cpp, FunASR) — or an agent can pull the raw audio out and run its own model. Text-to-speech for scratch voiceover. Agent: transcribe_clip · extract_clip_audio · apply_subtitles · synthesize_speech

Audio — role-based mixing (dialogue / music / SFX / voiceover) with live per-role metering, gain, pan, fades and denoise. Pauses finds the dead air in a take and cuts it as one undoable edit, keeping a pad so speech still breathes. Agent: detect_pauses · remove_pauses · set_role_gain · set_role_flags

The Role Mixer console, metering during playback

Understanding the footage — shot-boundary detection with per-shot brightness, motion and sharpness, frame comparison, and vision-model descriptions of what a clip actually contains. An agent can cut on content, not just on timecode. Agent: analyze_clip · auto_split_by_shot · describe_clip · compare_frames

Titles, effects and transitions — styled text layers with outlines, per-layer effect chains including chroma key with an eyedropper that picks from the live frame, and transitions between clips. Agent: add_effect · update_effect · add_transition · update_transition

Export — H.264 / HEVC / AV1, hardware or software encoders, resolution / fps / quality controls, and streamed muxing.

Find anything — one Ctrl+K palette over commands, media, clips, captions and markers, search for whatever you want.

Search palette

Tech stack

LayerStack
ShellElectron 44 · TypeScript 7 · electron-vite · Vite 8 · Node 24
UIReact 19 · Zustand · Immer · Tailwind CSS v4 · Base UI · shadcn/ui · Dockview · lucide · i18next (en-US / zh-CN) · fuzzysort
PreviewPixiJS v8 · WebGPU / WebGL · WebCodecs VideoDecoder pool · mediabunny · own YUV→RGB shaders · Web Audio clock
ExportWorker + OffscreenCanvas · GPU YUV pack pass · PBO readback · rawvideo over IPC · native ffmpeg sink · WebCodecs encoder (pin) · stream-copy mux
Native coreRust · napi-rs 3 · Tokio · imbl · serde · schemars · blake3 · reqwest · ffmpeg-sidecar
Native decode@weftcut/native-decode · ffmpeg-next · software + GPU lanes · sharedTexture (Windows)
Shared mathweftcut-eval crate · native + wasm32 · snap · keyframe eval · envelope · role gate
ffmpegGPL CLI sidecar (jobs, encode, mux) · LGPL shared libs (in-process decode)
Agent surfaceMCP · streamable HTTP on localhost · @modelcontextprotocol/sdk · bearer token · TS + Rust tool catalog
MotifsOffscreen BrowserWindow · Chrome DevTools Protocol · motif: scheme · CSP default-src 'none'
Speech & visionCloud providers over reqwest · whisper.cpp · FunASR · on-demand model download
Tests & CIVitest · cargo test · Playwright · node --test · Stryker · GitHub Actions (Windows / macOS / Linux)

Design decisions: ADRs.

Build from source

Prerequisites: Node 24+, Rust (stable via rustup), and your platform's C++ build tools — per-OS commands in docs/setup.md.

sh
npm install       # JS dependencies
npm run bootstrap # one-time: fetch ffmpeg + build the Rust addons
npm run dev       # start the editor

Also useful: npm run typecheck, npm test, npm run e2e, npm run build, npm run package (installers).

Documentation

Start with architecture for the system map, or MCP server & agent UX for the tool surface, resources and multi-agent behavior. Motifs and motif authoring cover the overlay engine and its contract.

  • Data model — project state schema, history, persistence, validation.
  • Render — PixiJS + WebCodecs renderer architecture.
  • Preview — interactive preview surface and transport.
  • Export — export settings and range, audio export, final mux, proxies, background jobs.
  • Captions · Audio — caption ingestion and the audio engine.
  • Conformance — media fixtures and E2E gates for frame alignment, audio sync, colour.
  • Features — small-feature contracts: undo-stack scope, groups, search palette, colour picker.
  • Status / log system — the bottom-of-editor log bus.
  • Setup — per-OS toolchain prerequisites and first-run flow.
  • Licensing — MIT app plus the two FFmpeg lanes and their build-time compliance gates.
  • v1 target — release scope and open work, tracked as an issue: docs/ describes what exists today.

Maintainer

WeftCut is built and maintained by UncleChair.

It exists to speed up my own video work. I wanted an editor an agent could actually drive, and a timeline I could keep watching while it did — so the MCP surface is the part I use daily, not a demo bolted onto the side. Motifs came from the other half of that: the overlays I wanted were easier to write than to find, and an agent that can write a web page can write one for the shot in front of it.

The project sits under the WeftCut organization so the name, domain and releases have a stable home, but it is a one-person project — issues and pull requests all reach me.

License

WeftCut is licensed under the MIT License. Packaged installers bundle FFmpeg binaries under their own licenses (LGPL shared libraries for in-process decode, GPL command-line tools run as a separate process) — see THIRD-PARTY-NOTICES.md and docs/licensing.md for the full model.

Use WeftCut MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once WeftCut is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add WeftCut as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the WeftCut MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "weftcut": {
      "command": "npx",
      "args": [
        "-y",
        "<mcp-server-package>"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the WeftCut MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the WeftCut MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use WeftCut to help me with this task?
WeftCut
Sure. I read it.
Here is what I found using WeftCut.

Frequently asked questions

What is the WeftCut MCP server used for?

WeftCut is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use WeftCut MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use WeftCut with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use WeftCut MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With WeftCut connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect WeftCut MCP to TypingMind?

WeftCut runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does WeftCut MCP provide in TypingMind?

WeftCut exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use WeftCut MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If WeftCut requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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