Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
Headless MCP: author and render PromoShot .promo video projects (stills, GIFs, video).
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"promoshot": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/garalex/promoshot-mcp:v0.4.7"
]
}
}
}Run this in your terminal
claude mcp add promoshot -- docker run -i --rm ghcr.io/garalex/promoshot-mcp:v0.4.7Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"promoshot": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/garalex/promoshot-mcp:v0.4.7"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"promoshot": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/garalex/promoshot-mcp:v0.4.7"
]
}
}
}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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account GarAlex, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.4.7) reached the registry 9 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
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.
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.
See it work: demo.md — technique prompts and open-ended creative briefs, each given to a fresh agent with only the skill and the MCP, its result beside the hand-built reference. The suite is in demos/.
The rendering engine behind PromoShot (App Store), and an open implementation of its project format. A .promo project is a folder — metadata.json plus its media — and this workspace is everything needed to validate, inspect, and render one to stills, image sequences, or mp4 with mixed audio: no app attached, byte-for-byte the same compositor the apps ship.
The design bet is that the format is the interface. An assistant, a script, or a person writes metadata.json; the engine renders it the same everywhere — the Mac and iOS apps (Metal + VideoToolbox), this repo's CLI, or a headless Linux box with no GPU at all (wgpu on lavapipe, ffmpeg as a subprocess). The format has three faces behind one truth: an authoring subset with four validated recipes (promo schema), the full document (--full), and a types-only JSON Schema generated from the parser's own structs (--types) — and the parser the validator runs is the parser the renderers use, so "validates" means "renders".
This is the open engine (and App Store app) for [PromoShot](https://promoshot.app) by Alexander Garmash — a full layer / keyframe / timeline editor for screen recordings, video, and photos (Mac; iPhone and iPad open the same .promo projects).
It is not the similarly named App Store apps that turn screenshots into template videos (for example “PromoShot: Screenshot to Video”). If you want keyframes, masks, GPU compositing, and an open .promo format, you want this one: promoshot.app · App Store.
Consumer apps: promoshot.app · App Store. Software directories can ingest this PAD 4.0 file:
https://raw.githubusercontent.com/GarAlex/promoshot/main/promoshot.pad.xml
| Crate | What it owns |
|---|---|
promo-model | The format: wire structs, migrations, palette roles, schema.md |
promo-timeline | Timeline math: keyframes, trims, attachments, waits, validation |
promo-gpu | wgpu compositing: quads, borders, letterbox, vectors, color conversion |
promo-text | Caption shaping and effects (cosmic-text) |
promo-engine | Preview/export orchestration, frame cache, memory governor, PCM mixer |
promo-media | Decoder/encoder trait registry; ffmpeg-subprocess backend + conformance suite |
promo-editor | The document's edit vocabulary: commands with undo, the wizard's arrangement, theme rules — what promo_apply and promo_slideshow are built on |
promo-cli | promo — render a project from the command line |
promoshot-mcp | MCP server over stdio, for agents |
./check-all.sh # fmt, clippy -D warnings, all tests, release build
Rendering video needs ffmpeg (and ffprobe) on PATH — frames are composited on the GPU and piped to it raw; ffmpeg only decodes and encodes. On a headless Linux machine, mesa-vulkan-drivers (lavapipe) is enough of a GPU.
The Linux release tarball carries its own CPU renderer: a lavapipe/ folder (Mesa's lavapipe, its libraries and a Vulkan loader; licences in lavapipe/NOTICES.txt) beside promo. Keep the folder next to the binary and a machine with no Vulkan driver at all — a fresh container, or a redeploy that dropped mesa-vulkan-drivers — still renders. promo picks, in order: a real GPU; the system's lavapipe; the bundled lavapipe (saying so once on stderr); SwiftShader, with a warning, since it is 10–50× slower than lavapipe. With none of them it lists what it tried and the fix (sudo apt-get install -y mesa-vulkan-drivers libvulkan1). PROMO_LAVAPIPE= points at the folder elsewhere; PROMO_LAVAPIPE=off never uses it. The binaries need glibc 2.39 (Ubuntu 24.04, Debian 13). A machine with no fonts at all still renders: text falls back to a built-in face (Tuffy) with a warning; install fonts-dejavu-core and fonts-liberation for real ones.
What a CPU costs, measured on a 703-frame 1080×1920 reel with narration:
| Renderer | promo video |
|---|---|
| Mac GPU (Apple silicon, Metal) | 13.7 s |
| lavapipe, 8 cores | 18.9 s |
| lavapipe, 2 cores | 77 s |
| lavapipe, 1 core | 179 s |
(lavapipe in an amd64-emulated ubuntu:24.04 container; SwiftShader took about half an hour on a comparable reel.)
promo video survives being killed. It encodes in segments (10 s of video each; --segment ) into .promo-parts/ beside the output, and the same command run again skips the finished segments and goes on from there, saying how many it found. The segments are joined without re-encoding, the soundtrack is mixed once for the whole range and muxed in at the join — no edge in the sound, in sync to the sample — and the folder is removed on success. The folder is keyed by a digest of the project's files and the render settings, so an edited project starts over instead of reusing stale segments. --from/--to take seconds (12.5) or frames (375f), to split a long render into chunks.
cargo build --release -p promo-cli # -> target/release/promo
promo schema # authoring subset + recipes; --full, --types promo validate [--strict] # "NOT OK" lists what will not render; --strict exits 1 on any finding promo inspect # canvas, layers, missing media, undefined colours promo upsert-keyframe --args '{"layer":"bg","time":2,"zoom":1.2}'
promo still --out f.png --time 2.5 promo frames --out frames/ --fps 30 --from 0 --to 4 promo video --out out.mp4 --fps 30 # resumable; --from/--to 12.5 or 375f
Add --json to any project command for machine output — one object on stdout, errors included, exit codes unchanged.
promo video mixes the soundtrack the apps would: trims and media cuts, held frames, speed with pitch preserved, keyframed volume, a focused narration ducking everything under it, and only the audio tracks the project keeps.
Headless renders are CLEAN — no watermark, and no license, serial or key will ever be asked for. (The Mac and iOS apps watermark free-tier renders; that is their App Store Pro line, and it stays on their side of the fence.)
promoshot-mcp speaks Model Context Protocol over stdio, so any MCP client can author, inspect and render projects. It owns no rendering code — every render shells to promo (found next to the executable, or on PATH, or via --promo), so the CLI stays the single contract.
Two pieces: the MCP server (tools) and the skill (workflow). Neither is vendor-specific. Agents do not find this repo by themselves.
The apps open what this engine writes from PromoShot 3.0 on. The App Store's 2.3.1 reads projects up to minReaderVersion 17 (no nested compositions, no 3D) and cannot be launched with --mcp-stdio.
1. Build — or don't
cargo build --release -p promo-cli -p promoshot-mcp
scripts/install-local.sh # …and on PATH, linked from target/release,
No Rust toolchain? Grab the prebuilt pair from Releases (linux-x64, macos-arm64; each asset's sha256 is on the release), or pull the image: docker pull ghcr.io/garalex/promoshot-mcp — both carry promo and promoshot-mcp together.
Put both on PATH, or pass --promo to the server. Rendering video also wants ffmpeg/ffprobe on PATH. promo skill install then puts the agent skill where every agent tool on the machine reads it — the shared ~/.agents/skills (Codex, Gemini CLI, Cursor, GitHub Copilot, Grok Build) and the own folder of each tool found that reads only its own (Claude Code, Antigravity); promo skill prints it.
2. MCP (required for tools)
Claude Code / Cursor / any mcp.json:
{
"mcpServers": { "promoshot-headless": { "command": "/ABS/PATH/target/release/promoshot-mcp", "args": ["--workspace", "/ABS/PATH/Promo", "--root", "/ABS/PATH/Promo"] } } }
--workspace is where new projects go; --root fences which projects the server will touch — pointing both at one folder is the tidy setup. Both optional. --log appends one line per tool call — when, which tool, how many milliseconds, how it went — for a session's own accounting; the demo pages are built from it.
Client one-liners:
# Claude Code
claude mcp add promoshot-headless /ABS/PATH/target/release/promoshot-mcp
grok mcp add promoshot-headless -- /ABS/PATH/target/release/promoshot-mcp \ --workspace /ABS/PATH/Promo --root /ABS/PATH/Promo grok inspect # confirms the server registered
docker build -t promoshot-mcp .
On a Mac with PromoShot 3.0 installed, the app is a server too — the same tools, with the person's open document, undo and approvals behind them. Switch Automation on in PromoShot's Settings, then register the app itself; it launches when the client starts it:
claude mcp add promoshot -- "/Applications/PromoShot.app/Contents/MacOS/PromoShot" --mcp-stdio
Settings ▸ Automation shows that line with this Mac's own path, and the URL form for clients that take one. promoshot names the app and promoshot-headless the binary, so both can be registered side by side; the skill asks which to use when both are there.
3. Skill (the workflow)
Same file everywhere: skill/SKILL.md.
REPO=https://github.com/GarAlex/promoshot
git clone --depth 1 $REPO /tmp/promoshot
mkdir -p ~/.claude/skills/promoshot cp /tmp/promoshot/skill/SKILL.md ~/.claude/skills/promoshot/SKILL.md
mkdir -p ~/.grok/skills/promoshot cp /tmp/promoshot/skill/SKILL.md ~/.grok/skills/promoshot/SKILL.md
mkdir -p ~/.agents/skills/promoshot cp /tmp/promoshot/skill/SKILL.md ~/.agents/skills/promoshot/SKILL.md
mkdir -p .cursor/rules cp /tmp/promoshot/skill/SKILL.md .cursor/rules/promoshot.md
Any agent that reads instructions can be handed the file directly; it assumes only these tools (or the CLI).
4. Verify — ask the agent for a render:
Render examples/ProductCard.promo to a still at 3s.
One promo_validate, one promo_render_still, and a device-framed app demo comes back as a path. From there, "make me a promo for " is the loop the skill teaches.
Tools: promo_schema (authoring subset + four validated recipes; promo_schema_full is the whole format; promo_schema_types is the format as a generated, types-only JSON Schema — also checked in at docs/promo.schema.json for $schema editor au
Only the beginning is shown; read the rest in the repo