Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
AI image and video generation, editing, and region repair via Gemini, OpenAI, and Grok.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
GOOGLE_API_KEY, OPENAI_API_KEY, XAI_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 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"
}
}
}
}在终端中运行这条命令
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-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"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"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日
注册名称已通过 GitHub 账户 j-east 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:GOOGLE_API_KEY, OPENAI_API_KEY, XAI_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.1.1)于6个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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.
The Figma MCP server brings Figma design context directly into your AI workflow.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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