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)
Design engine for AI agents: images at every size, no Chrome, 2× fewer tokens
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
claude mcp add keyline -- docker run -i --rm ghcr.io/keyline-dev/keyline-mcp:0.8.1Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"keyline": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/keyline-dev/keyline-mcp:0.8.1"
]
}
}
}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": {
"keyline": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/keyline-dev/keyline-mcp:0.8.1"
]
}
}
}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.
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 6, 2026
The registry name was verified with the GitHub account keyline-dev, 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 (0.8.1) reached the registry 25 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB, 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.
[keyline.dev](https://keyline.dev): examples, the benchmark, and setup for every client.
Design engine for AI agents: Canva for your agent. keyline is a free MCP server for Claude Code, Claude Desktop, Cursor, Codex, Gemini CLI and any MCP client. Your agent describes a social post, ad or banner once, as a small JSON scene; keyline renders it as images and video at every size, with real text in your fonts and colors, the same every run.
No browser, and fewer tokens. No headless Chrome, Puppeteer or Playwright: one native Rust binary on Skia. Every edit replies with what's wrong at each size, so the agent fixes the design from measurements instead of screenshots: 2× fewer tokens than an agent driving headless Chrome, and 6× fewer than Playwright MCP (benchmark).
One prompt, five sizes: the layout adapts from a 4:5 post to a 728×90 leaderboard, and keyline's checks catch what doesn't fit before anything renders.
More campaigns, with motion, on keyline.dev . Every image there, and the one above, was made with keyline.
Most designs people ship today (sale posts, event flyers, ad sets) are made in tools like Canva or Adobe Express. Those tools are built for a person with a mouse, and none is a good backend for an agent:
keyline-mcp is the missing piece: an agent-first design tool, with a design format and renderer built from the ground up for a language model to author, check and export, cheaply and reproducibly. The design stays structured data (a typed layer tree with layout, tokens, styles and components), not pixels, so an agent edits it precisely instead of regenerating an image.
flowchart LR
A[Agent] -- "layer_add / layer_update" --> S[(Scene JSON)] S --> L["Layout per size scale → constraints"] L --> C["Checks defects · advisories · facts"] C -- "ok, or what to fix" --> A L --> R["Skia renderer GPU, CPU fallback"] R --> P["PNG, JPEG, WebP, PDF, animated PNG, GIF, MP4 or WebM per size"]
Start here: docs/concepts.md explains the model; docs/scene.md is the scene format and docs/tools.md the tools and configuration.
There's no GUI, and no plan for one. Every design decision is judged by one question: *how many tokens does the agent spend to get a correct image?* We measure that with a real model (Claude, through Claude Code) building a real multi-section ad.
ok or the problems, never the scene.fontWeight, borderRadius, rgba() colors), so the model writes a scene right the first time. The layout itself is keyline's own, documented, not browser-exact.role, so the agent never reads the scene to find an id.text, image (PNG, JPEG, SVG), video, icon, rect, ellipse (and arcs and rings), polygon (and stars), path (SVG path data or a named shape), line, frame (nesting, clipping, stacks, grids), spacer, firstFit, and use for componentsfill, flexGrow and priorities), grids (CSS grid: tracks, named areas, spans), hug/fill/percentage sizes with min/max and aspect ratio, direction lists and firstFit that pick what fits, constraints, placement at nine spots, a scale factor per size, per-size and per-aspect changes (media), size presets for common social and ad formats, and safe areas a platform covers , , , style names as tags); weights, italics, letter spacing, line height, case; balanced or pretty wrapping; highlights behind words; underline and strike; text on a curve; dot leaders; text filled with an image, pattern or gradient; outlines; text that knocks out its frame. Fonts work like CSS web fonts: name any Google Fonts family and the server downloads it on first use and caches it (tracked in fonts/index.json); Inter is bundled, and you can add your own font files{{brand}}, in any field or sentence) that update every field using them, components placed once or once per data row, and templates: a scene file loaded by URL or path with its variables set, rendered once per row of valuesrandom() starts, staggered children, text split into letters or words that move on their own, strokes that draw themselves, and numbers that countClaude Code (macOS or Linux): the plugin downloads keyline and checks it against the release's SHA256SUMS, or uses keyline-mcp from your PATH.
/plugin marketplace add keyline-dev/keyline
/plugin install keyline@keyline
Claude Desktop (Mac with Apple silicon, or Windows): download keyline-mcp- .mcpb from the latest release and double-click it. Designs and their renders go in ~/keyline, a folder per design, where you can also put the images and logos Claude should use. To work in folders of your own instead, open Settings → Extensions → keyline → Configure, add them, and click Save.
| Install | |
|---|---|
| macOS (Apple silicon) | brew install keyline-dev/tap/keyline-mcp |
| Linux (amd64, arm64) | sudo apt install ./keyline-mcp_ -1_amd64.deb (or _arm64), from the latest release; tarballs are there too |
| Windows (x64) | Unpack keyline-mcp-v -windows-amd64.zip and put its folder on your PATH |
| Docker | Use docker run -i --rm -v keyline:/data ghcr.io/keyline-dev/keyline-mcp as the client's command; the :stills tag leaves out ffmpeg |
| From source | cargo build --release (Rust stable; on Linux also libfontconfig1-dev libfreetype6-dev) |
Every release has a SHA256SUMS file and build attestations: gh attestation verify --repo keyline-dev/keyline. Then add keyline to your client. The command is keyline-mcp; if the client can't find it, give its full path (which keyline-mcp).
Codex (ChatGPT)
Codex is OpenAI's coding agent, included in ChatGPT plans. Its app, CLI and IDE extension share one setting:
codex mcp add keyline -- keyline-mcp
ChatGPT itself, like grok.com and the xAI API, connects only to remote servers, so it can't start keyline, which runs on your machine.
Other clients
Any client that starts local (stdio) MCP servers works, Cursor, VS Code and Gemini CLI included. Add a server named keyline whose command is keyline-mcp, in the client's MCP settings or with its mcp add command. Most clients take this JSON:
Only the beginning is shown; read the rest in the repo