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)
Local AI vision MCP server for Windows: OCR, chart analysis, scene description. 100% offline.
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 …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"visiongemma": {
"command": "uvx",
"args": [
"visiongemma-mcp"
]
}
}
}Run this in your terminal
claude mcp add visiongemma -- uvx visiongemma-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"visiongemma": {
"command": "uvx",
"args": [
"visiongemma-mcp"
]
}
}
}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": {
"visiongemma": {
"type": "stdio",
"command": "uvx",
"args": [
"visiongemma-mcp"
]
}
}
}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 8, 2026
The registry name was verified with the GitHub account q1023884985, 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 (2.1.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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.
[!WARNING]
本项目已淘汰归档,不再维护。保留仓库与 Release 附件仅供已有用户追溯,新用户请勿使用。
在完全本地的 Windows 电脑上运行的开箱即用图片识别工具 + 趣味 AI 桌宠。图片识别全程在本机完成,不上传任何数据。
当你的 AI 助手遇到图片、又恰好不支持图片输入时,VisionGemma 会作为 MCP 工具被自动调起,把"看图能力"无缝交给它:
不用手写配置文件。软件内置对接引导,复制一段话粘贴给 AI 助手,或直接复制配置 JSON,即可完成 MCP 对接:
选图 → 识别 → 得到结构化描述,全程离线。产品图、截图、图表都能看懂:
桌面陪伴小宠物,支持自然对话、识别屏幕与图片:
vision_analyze 工具),让 AI 获得看图能力安装包:VisionGemma-20260821.zip
SHA256:83C6170BBD7367B1A535A586BEE08F6BAC73F5EAC089736E189B62017532B944
在 AI 工具的 MCP 配置中加入:
{
"mcpServers": { "vision-gemma": { "command": "VisionGemma.exe 完整路径", "args": ["--mcp"], "type": "stdio" } } }
然后即可调用 vision_analyze 工具识别图片。更省事的做法:打开软件的「对接引导」,复制话术粘贴给 AI 助手即可。
所有图片识别完全在本地完成,不上传任何数据。