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)
Builds Figma from your design system: real components and tokens, enforced, learning every build.
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
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"mimic-ai": {
"command": "npx",
"args": [
"-y",
"@miapre/mimic-ai"
]
}
}
}Run this in your terminal
claude mcp add mimic-ai -- npx -y @miapre/mimic-aiPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"mimic-ai": {
"command": "npx",
"args": [
"-y",
"@miapre/mimic-ai"
]
}
}
}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": {
"mimic-ai": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@miapre/mimic-ai"
]
}
}
}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 miapre, 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 (3.0.1) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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.
Transforms HTML into Figma using only your design system, enforcing correct component usage and falling back safely when needed, while improving accuracy with every build.
Open-source MCP server. Runs entirely on your machine — no Mimic cloud, no third-party servers. The only network calls are to Figma's own API, with your own token.
AI writing into Figma isn't the hard part anymore; several tools do it now. The differences show up in what happens when the AI reaches for something your design system doesn't have. A tool that steers an agent toward your components can still land on a raw hex value, a raw pixel size, or a font your system doesn't use, and general guidance for that category of tool is that the result may need manual review and cleanup before it's usable. Mimic enforces at write time, inside the Figma plugin itself, not just in the prompt.
What the gate blocks
If the DS genuinely has no equivalent, Mimic says so in the build report instead of quietly leaving a raw value in place.
What the learning accumulates
Nothing else accumulates this across builds. A hand-authored Figma Agent Skill is static text; it doesn't learn from what you correct.
What the report proves Every build ends in a compliance-audited report: components used and their keys, primitives built and why, which stored rules were checked and whether they held, and where the DS still has coverage gaps. It's built to be shown to a stakeholder, not just read by the person who ran the build.
You built a design system. Components, tokens, variables. Every decision intentional. Then someone needs a screen in Figma and starts from scratch. Hardcoded colors. Raw font sizes. Frames that break when you resize them. Your system sits right there in the library panel. Unused.
Mimic's output is the deliverable: real Figma layers with real component instances, variable bindings, and auto-layout. Nothing to convert. Nothing to swap. Hand it off.
The first build scans the design system. By the third, recurring components auto-verify. By the tenth, most decisions are instant. The knowledge compounds across every build.
| Build | What Mimic knows | What you experience |
|---|---|---|
| 1 | Nothing. Cold start. Scans your entire DS. | "It found my components and used them. Some primitives where my DS has gaps." |
| 5 | Core patterns verified. Common components cached. | "It remembered that I use Button/Primary for CTAs. It didn't ask about tabs this time." |
| 20 | Deep knowledge. Recipes for every common component. | "I point it at an HTML and get a DS-compliant Figma screen in minutes. It knows my system better than the new hire." |
| 50+ | Comprehensive DS audit data. Recurring gaps visible. | "The gap report says I've used status badges as primitives 31 times. I finally built the component. Mimic started using it immediately." |
Correct it once. Tell Mimic "That's not the right Badge, use Tag/Neutral." The mapping updates permanently. Every future build uses the correction without you having to repeat yourself.
Your DS evolves. Mimic keeps up. Component additions, removals, and variant changes are detected at the start of every build by comparing against what was cached last time — no manual re-sync. Deeper variable-level change detection (e.g. a renamed color token) is coming in a future release.
Every build is a DS review. After each build, Mimic generates a report: what components it used, what it built from primitives and why, what patterns it learned, and what your DS is missing. Recommendations come as questions, not commands: "Should your DS include a Status Badge? 4 elements across 3 builds were built as primitives."
Pick any starting point:
"Build a dashboard with three metric cards and an activity table"
"Here's the HTML from our staging environment, build it in Figma"
"Rebuild this Claude Design prototype with real components"
Mimic discovers the design system on your file, matches components and tokens, and builds structured Figma. Same rules, same output quality, regardless of how you start.
| Mimic | Claude Design | Figma Make | Framelink | html.to.design | |
|---|---|---|---|---|---|
| Output | Figma canvas (real layers) | HTML / React prototype | Interactive prototype | Read-only context | Figma canvas (paid) |
| Uses your components | Yes, real instances | No | Partial (Make Kits) | No (agent infers) | Partial |
| Variable bindings | Yes, every node | No | No (raw values) | No | No |
| Auto-layout | Every frame | N/A | N/A | N/A | Partial |
| Works with any library | Yes | No | Make Kits only | N/A | Limited |
| Learns across builds | Yes | No | No | No | No |
| DS gap detection | Yes, every build | No | No | No | No |
| Open source | Yes (MIT) | No | No | Yes (MIT) | No |
Claude Design is great for ideation. Figma Make is great for interactive prototyping. Framelink is great for giving AI context about your designs. Mimic is for when the output needs to be the actual Figma file you ship with.
Mimic works with any Figma library: your team's, a community kit, or a client's published system.
Requires: Node.js v20.6+ · the Figma desktop app (browser Figma isn't supported — download) · a Figma Professional plan or above (needed to publish and use team libraries).
One-line installer:
bash <(curl -fsSL https://raw.githubusercontent.com/miapre/mimic-ai/main/install.sh)
This clones the repo to ~/mimic-ai, runs npm install, prompts for your Figma personal access token, and offers to register mimic-ai in Claude Code's settings.json automatically.
Manual install:
git clone https://github.com/miapre/mimic-ai.git
cd mimic-ai npm install
Then set FIGMA_TOKEN in your MCP client's server config (or in ~/.mimic-ai.json — see "Figma setup details" further down for how to generate the token), and point your client's mimic-ai entry at the cloned mcp.js ({ "command": "node", "args": ["/path/to/mimic-ai/mcp.js"] }).
Plugins > Development > Import plugin from manifest > select ~/mimic-ai/plugin/manifest.json
Figma: Plugins > Development > Mimic AI > Run
The bridge starts automatically when you make your first tool call. No separate process to manage.
Assets panel > Team library icon > toggle on. Once per file. Community libraries work out of the box.
*"Build a settings page with three form fields and a save button."*
One call discovers the entire DS (variables, styles, components), preloads everything, and advances to build-ready. No multi-step setup.
What it learns:
How it enforces:
Efficiency features:
Every build enforces 19 quality rules across 6 sequential phases.
Only the beginning is shown; read the rest in the repo