Skip to main content
Glama

NeuroCut

An MCP server that gives an AI a multi-track video editor. It drives MLT — the engine behind Shotcut & Kdenlive — so the model lays down a timeline with terse tool calls, reviews cheap downscaled preview frames (never the whole video), iterates, and renders the real file to disk. Same philosophy as a good painting tool, for video.

  • Stateful project in server memory: video/audio tracks, clips, trims, speed, fades, per-clip & per-track filters, transforms (PiP/overlay), crossfades, undo/redo.

  • MLT under the hood → real compositing, dynamictext captions, timewarp speed, qtblend, avfilter.* (every FFmpeg filter). Projects save as .mlt and open in Shotcut.

  • Media & fonts from the internetadd_media(url=…), add_text(font_google="Bebas Neue").

  • Token-frugal: mutations return one line; preview(at=…) and storyboard(count=9) (a contact sheet of the whole edit) are the only things that cost image tokens, and they're downscaled; render_video costs none.

Requirements

System packages (not pip): ffmpeg, ffprobe, and MLT with its Python bindings + the melt CLI.

# Gentoo
sudo tee /etc/portage/package.use/neurocut-mlt <<< 'media-libs/mlt python ffmpeg xml qt6 rubberband opengl sdl gtk vorbis'
sudo emerge media-libs/mlt

# Debian/Ubuntu
sudo apt install melt libmlt++-dev python3-mlt ffmpeg

Then:

python -m venv --system-site-packages .venv   # --system-site-packages so it sees mlt7
. .venv/bin/activate
pip install -e .

python -m neurocut                 # HTTP, 127.0.0.1:8766
NEUROCUT_TRANSPORT=stdio python -m neurocut   # stdio for local Claude Code

Related MCP server: ffmpeg-llm

Environment

var

default

meaning

NEUROCUT_TRANSPORT

http

http or stdio

NEUROCUT_HOST / NEUROCUT_PORT

127.0.0.1 / 8766

HTTP bind

NEUROCUT_TOKEN

(unset)

if set, require X-Neurocut-Token (or Authorization: Bearer) header

NEUROCUT_EXPORT

~/neurocut-output

where render_video / save_mlt write

NEUROCUT_CACHE

~/.cache/neurocut

downloaded media & fonts

NEUROCUT_MAX_DOWNLOAD

536870912

max bytes per fetched asset

Connect as a Claude connector

./run.sh          # starts server + a Cloudflare quick tunnel, prints URL + token

In Claude → Settings → Connectors → Add custom connector:

  • URL https://<tunnel>/mcp

  • Authentication: None

  • Additional request headers: X-Neurocut-Token = <token>

Tool map

new_project · project_info · list_projects · delete_project add_media add_track · update_track · remove_track add_clip · add_color · add_text · move_clip · trim_clip · split_clip · remove_clip · set_clip_speed · set_clip_fade · set_clip_gain add_filter · add_transform · clear_filters · crossfade preview · storyboard · render_video · save_mlt · get_download_link · undo · redo batch

render_video / save_mlt return a download_url (GET /dl/<token>/<name>, opens in a browser with no auth) so the model can hand the finished file to the user; get_download_link re-issues one for an earlier render. Set NEUROCUT_PUBLIC_URL (run.sh does this from the tunnel) so the links are absolute.

Time is in seconds. Track 0 is the bottom video layer; higher video tracks composite on top. Overlapping clips on one track are auto-laned, so text/PiP "just works".

Status / limits (v1)

  • Transitions: crossfade (alpha dissolve) + per-clip fades. Wipes/luma TODO.

  • add_transform uses qtblend rect; keyframed motion TODO.

  • Audio track-level volume not yet wired (per-clip gain works).

A
license - permissive license
Not graded
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • F
    license
    Not graded
    quality
    D
    maintenance
    An MCP server that exposes FFmpeg as a structured tool set for AI agents, enabling timeline-based video editing, preview, rendering, and analysis with an optional LLM autopilot.

View all related MCP servers

Related MCP Connectors

  • A real timeline video editor for AI agents: journaled edits, FFmpeg/MLT rendering, exports

  • MCP server for Clipkit — gives AI agents a video toolbox via the Clipkit schema.

  • MCP server for Wan AI video generation

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vibeDN/NeuroCut'

If you have feedback or need assistance with the MCP directory API, please join our Discord server