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Mimic AI logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 10:43:06 PM

Mimic AI

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository13 GitHub StarsTotal stargazers on GitHub for the source repository (13 stars).Visit Website

Builds Figma from your design system: real components and tokens, enforced, learning every build.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mimic-ai": {
      "command": "npx",
      "args": [
        "-y",
        "mode"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Mimic AI

Mimic AI

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.


npm version npm downloads CI License: MIT

Node.js: v20.6+ Platform: macOS / Windows Glama Install in VS Code Install in VS Code Insiders

Open-source MCP server. Runs locally. Your design data never leaves your machine.


Mimic AI building a full page in Figma using a design system


Gated, not steered

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

  • Raw hex/rgb fills where a DS color variable exists
  • Raw pixel font sizes where a DS text style exists
  • Fonts outside the design system
  • Variable category mismatches (e.g. a background token used as a stroke)
  • Primitive frames for elements the DS already has as components (buttons, badges, inputs, table cells, and more)

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

  • Component recipes, replayed automatically once confirmed across builds
  • Majority-wins variant defaults, learned from your own usage patterns
  • Design rules you set once by correcting a build, enforced on every one after
  • No-good compilation: patterns tried and confirmed not to work, so they aren't retried
  • Staleness detection: flags a stored recipe the moment it stops matching your current DS
  • All scoped per design system library: nothing bleeds across unrelated files

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.


Why Mimic exists

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.


It learns your system

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.

BuildWhat Mimic knowsWhat you experience
1Nothing. Cold start. Scans your entire DS."It found my components and used them. Some primitives where my DS has gaps."
5Core patterns verified. Common components cached."It remembered that I use Button/Primary for CTAs. It didn't ask about tabs this time."
20Deep 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 β€” 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."


How it works

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.


How Mimic compares

MimicClaude DesignFigma MakeFramelinkhtml.to.design
OutputFigma canvas (real layers)HTML / React prototypeInteractive prototypeRead-only contextFigma canvas (paid)
Uses your componentsYes, real instancesNoPartial (Make Kits)No (agent infers)Partial
Variable bindingsYes, every nodeNoNo (raw values)NoNo
Auto-layoutEvery frameN/AN/AN/APartial
Works with any libraryYesNoMake Kits onlyN/ALimited
Learns across buildsYesNoNoNoNo
DS gap detectionYes, every buildNoNoNoNo
Open sourceYes (MIT)NoNoYes (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.


Who it's for

Mimic works with any Figma library: your team's, a community kit, or a client's published system.

  • Designers who want DS-compliant screens without manual component hunting
  • Design system leads testing their system by building real screens, surfacing coverage gaps with evidence
  • New team members learning a DS by building with it, seeing what components exist and what's missing
  • Agencies and freelancers picking up a client's library and needing to produce screens fast
  • DS migration teams rebuilding existing screens with a new system to assess coverage before committing
  • Developers who need a Figma reference that matches their frontend components
  • Product managers who want to mock up ideas using the DS without waiting for a designer

Get started

Requires: Node.js v20.6+ Β· the Figma desktop app (browser Figma isn't supported β€” download) Β· a Figma Professional plan or above (needed to publish and use team libraries).

1. Install

One-line installer:

bash
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:

bash
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 β€” 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"] }).

2. Add the Figma plugin

Plugins > Development > Import plugin from manifest > select ~/mimic-ai/plugin/manifest.json

3. Connect (each session)

Figma: Plugins > Development > Mimic AI > Run

The bridge starts automatically when you make your first tool call. No separate process to manage.

4. Enable your design system

Assets panel > Team library icon > toggle on. Once per file. Community libraries work out of the box.

5. Build

"Build a settings page with three form fields and a save button."

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Mimic AI

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mimic-ai": { "command": "npx", "args": ["-y", "Mimic AI"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars13
GitHub Star CountTotal stargazers on GitHub representing community popularity (13 stars).
39Quality signal: Fair Β· 39/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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