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)
AI image and video generation, editing, and region repair via Gemini, OpenAI, and Grok.
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.
GOOGLE_API_KEY, OPENAI_API_KEY, XAI_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"pixel-surgeon": {
"command": "npx",
"args": [
"-y",
"pixel-surgeon-mcp"
],
"env": {
"GOOGLE_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"XAI_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add pixel-surgeon --env GOOGLE_API_KEY=your-value --env OPENAI_API_KEY=your-value --env XAI_API_KEY=your-value -- npx -y pixel-surgeon-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pixel-surgeon": {
"command": "npx",
"args": [
"-y",
"pixel-surgeon-mcp"
],
"env": {
"GOOGLE_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"XAI_API_KEY": "your-value"
}
}
}
}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": {
"pixel-surgeon": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"pixel-surgeon-mcp"
],
"env": {
"GOOGLE_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"XAI_API_KEY": "your-value"
}
}
}
}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 9, 2026
The registry name was verified with the GitHub account j-east, 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.
You need to fill in: GOOGLE_API_KEY, OPENAI_API_KEY, XAI_API_KEY
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 (1.1.1) reached the registry 6 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:↓ Downloads per weeki★ 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.
pixel-surgeon-mcp
MCP server for AI image & video generation, editing, and transplant-grade region repair
Powered by Gemini 3.1 Flash Image, OpenAI GPT Image 2, Grok Imagine, and Veo 3
An MCP server that gives Claude (or any MCP client) the ability to generate images, edit them, fix garbled text, and create videos — all through natural language.
pixel-surgeon-mcp is a multi-provider image generation server. You can use any combination of providers and switch between them per-request:
Google's image generation pipeline uses a two-stage approach: Gemini 3.1 Pro reasons about your prompt, then Gemini 3.1 Flash Image renders the pixels. Supports 9 aspect ratios at 512/1K/2K/4K resolution. Best price/performance ratio, with a free tier available.
OpenAI's latest image model with dramatically improved text rendering and visual fidelity. Supports flexible resolutions — pixel-surgeon maps your chosen size and aspect ratio to the optimal pixel dimensions automatically. Quality levels: medium (fast) and high (print-ready). Excellent for infographics, diagrams, and text-heavy images where other models struggle. Slower and more expensive.
xAI's Aurora-powered image model. Fastest generation speed and lowest cost. Supports 7 aspect ratios at fixed resolutions (~1K). Good for rapid prototyping and iteration.
For video, the server calls Veo 3 with async polling — generating both video and ambient audio. Supports 16:9 and 9:16 at 5s or 8s duration.
AI image models struggle with text-heavy images. The fix tools solve this by sending smaller regions to the provider, then stitching the results back with histogram-matched compositing for seamless blending.
| Tool | Description |
|---|---|
generate_image | Text-to-image generation (single image) |
generate_images | Parallel batch generation (1-8 images) |
generate_video | Text-to-video via Veo 3 with audio (5s or 8s) |
edit_image | Edit an existing image with natural language instructions |
fix_image | Grid-based tile repair for garbled text (2x2, 3x3, etc.) |
fix_region | Targeted region repair with automatic aspect ratio snapping |
interactive_fix | Browser-based crop UI with multi-shot selection |
list_images | List generated images and videos |
save_image | Import an external image into the workspace |
remove_background | Remove image background (alpha channel transparency) |
| Model | Provider | Resolution | Best for |
|---|---|---|---|
gemini-3.1-flash-image | 512 / 1K / 2K / 4K | General image generation, photo-realistic scenes | |
gemini-2.5-flash-image | 1K max (free tier) | Quick drafts, prototyping | |
gpt-image-2 | OpenAI | Flexible (up to 4K) | Text-heavy images, infographics, diagrams, typography |
gpt-image-1 | OpenAI | 3 fixed sizes | Legacy support |
grok-imagine | xAI | Fixed (~1K per ratio) | Fast iteration, lowest cost |
Force a specific model per-call via the model tool parameter, or set DEFAULT_IMAGE_MODEL env var.
If a Gemini generation call fails with a billing / prepay error, the server automatically retries on the free-tier `gemini-2.5-flash-image` model. The viewer shows a yellow banner when this happens. Free-tier limits: 1K max resolution, 10 RPM, 500 RPD.
All generation and edit tools support an optional style parameter:
neo-brutalistMagazine editorial, bold typography, halftone textures. Cream, black, and terracotta palette.
duval-software-infographicDuval Software's signature retro-futurist infographic style. 1960s Space Age meets 1980s arcade. Cathode blue, amber, and salmon palette. Great for diagrams and system overviews.
fractal-arcadeDithered fractals, Sierpinski patterns, low-poly. CRT retro, Amiga/EGA palette.
clean-tech-infographicTechnical diagrams, system flows, data pipelines. Dark navy, cyan, and electric blue.
You need at least one provider API key. You can use any combination for maximum flexibility.
Prepayment required. Gemini 3.1 Flash Image and Veo 3 require billing and prepaid credits. The free-tier fallback (2.5 Flash) has limited resolution and rate limits. See Google AI pricing.
GPT Image 2 excels at text rendering, infographics, and diagrams. If you primarily need text-heavy images, this is the provider to use.
Grok Imagine is the fastest and cheapest provider. Great for rapid iteration and prototyping. Fixed output resolutions (~1K) with no size control.
No install needed — run directly with npx. Pass whichever API keys you have:
npx pixel-surgeon-mcp
claude mcp add pixel-surgeon \
-e GOOGLE_API_KEY=your-google-key \ -e OPENAI_API_KEY=your-openai-key \ -e XAI_API_KEY=your-xai-key \ -- npx pixel-surgeon-mcp
{
"mcpServers": { "pixel-surgeon": { "command": "npx", "args": ["pixel-surgeon-mcp"], "env": { "GOOGLE_API_KEY": "your-google-api-key", "OPENAI_API_KEY": "your-openai-api-key", "XAI_API_KEY": "your-xai-api-key" } } } }
If you prefer a local clone:
git clone https://github.com/j-east/pixel-surgeon-mcp.git
cd pixel-surgeon-mcp npm install npm run build
Generated images are saved to ~/Pictures/pixel-surgeon/. A local browser viewer auto-launches on first use for full-resolution previews with model selection, respin controls, and search.
npm run dev # tsx watch mode
npm run build # compile TypeScript npm run start # run compiled server
interactive_fix opens a browser crop UI, blocks via Promise until the user submits, fires parallel Gemini calls, and lets the user pick the best resultPRs are welcome! We're especially looking for:
Add entries to the STYLE_PRESETS object in src/index.ts. Your PR should include:
The server currently supports Gemini, OpenAI, Grok Imagine, and Veo 3. We'd love adapters for other image/video generation APIs — Stable Diffusion, Flux, etc. If you're interested in adding one, open an issue first so we can align on the interface.
pixel-surgeon-mcp is maintained by John Evans, part of the engineering team at Duval Software — a software engineering firm in Jacksonville Beach, FL building AI-powered tools and custom integrations. If you need MCP servers, AI pipelines, or production tooling built, get in touch.
MIT