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)
Search, retrieve, compare, and render SVG icons visually for AI agents.
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。
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": {
"icon-visual": {
"command": "npx",
"args": [
"-y",
"@br-ai-n/mcp-icon-visual"
]
}
}
}在终端中运行这条命令
claude mcp add icon-visual -- npx -y @br-ai-n/mcp-icon-visual粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"icon-visual": {
"command": "npx",
"args": [
"-y",
"@br-ai-n/mcp-icon-visual"
]
}
}
}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": {
"icon-visual": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@br-ai-n/mcp-icon-visual"
]
}
}
}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7日
注册名称已通过 GitHub 账户 n0isy 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。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
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(0.1.1)于8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:★ 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。
MCP server that gives AI agents the ability to search, retrieve, compare, and render SVG icons. Built with Rust and the rmcp SDK.
Combines local filesystem access with a remote rendering API to resolve SVGs from any source — inline strings, URLs, local files, or Iconify IDs — and render them onto visual comparison grids.
The key insight: every tool returns images. A vision-capable LLM doesn't just get metadata — it *sees* the icons. This turns icon selection from guesswork into a visual conversation.
search_icons("machine learning") — 4x4 grid, cells 0–15, returned as PNG
These tools are designed to be composed by AI agents with vision. Below are three proven patterns.
An agent searches for icons and visually picks the best match — no blind URL selection.
┌─────────────────────────────┐
│ Agent + Vision │ └──────────────┬──────────────┘ │ ┌────────────────┼────────────────┐ v v v search_icons search_icons search_icons "cloud" "upload" "storage" │ │ │ v v v ┌──────────┐ ┌──────────┐ ┌──────────┐ │ 4x4 grid │ │ 4x4 grid │ │ 4x4 grid │ │ (sees) │ │ (sees) │ │ (sees) │ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ │ │ └───────────────┼───────────────┘ v "cells 3, 7, 12 match the project style" │ v render_grid [3 winners] │ v ┌──────────────────┐ │ final comparison │ │ grid (sees) │──> pick best └──────────────────┘
The agent runs multiple searches, looks at each grid, picks candidates by cell number, then renders a final side-by-side comparison to make the choice. Works especially well when the agent has context about the project's visual style.
An agent modifies SVG code and uses render_grid as a visual diff to track progress across iterations.
get_svg "mdi/cloud"
│ v ┌───────────┐ │ raw SVG │ │ markup │ └─────┬─────┘ │ ┌────────┴─────────────────────────────────────┐ │ Edit Loop │ │ │ │ Agent modifies SVG code │ │ │ │ │ v │ │ render_grid [original, v1, v2, v3] │ │ │ │ │ v │ │ ┌──────────────────────────────┐ │ │ │ cell 0: original │ │ │ │ cell 1: thicker strokes │ │ │ │ cell 2: rounded corners │ │ │ │ cell 3: filled variant │ │ │ └──────────────┬───────────────┘ │ │ │ │ │ agent sees all versions │ │ decides next edit │ │ │ │ │ └──── loop ──────────────────┘ │ v save final SVG to disk
Each iteration, the agent passes all versions (original + edits) as inline SVGs to render_grid. It sees them side-by-side in one image and decides whether to keep iterating or stop. The original always stays in cell 0 as a reference.
An agent ensures new icons match the visual style of existing project icons.
Project icons on disk Candidate sources
───────────────────── ───────────────── /app/icons/nav-home.svg search_icons "settings" /app/icons/nav-search.svg │ /app/icons/nav-profile.svg v │ picks cells 2, 5, 9 │ │ └──────────┬───────────────────┘ v render_grid [ /app/icons/nav-home.svg, ← cell 0: existing /app/icons/nav-search.svg, ← cell 1: existing /app/icons/nav-profile.svg, ← cell 2: existing candidate_url_1, ← cell 3: candidate candidate_url_2, ← cell 4: candidate candidate_url_3, ← cell 5: candidate " ...custom edit... " ← cell 6: agent's edit ] │ v ┌────────────────────────────────┐ │ grid image: │ │ existing icons vs candidates │ │ (agent sees style match/clash) │ └────────────────┬───────────────┘ │ agent judges: "cell 4 matches stroke weight and corner radius of cells 0-2, cell 3 is too thin, cell 5 wrong fill style" │ v get_svg cell_4_url │ v save to /app/icons/nav-settings.svg
By mixing local file paths and remote sources in a single grid, the agent can visually compare existing project icons against candidates in one shot. The grid becomes a style audit tool.
These patterns compose naturally. A real-world workflow might:
All driven by a single agent with vision, using three tools.
search_iconsSemantic icon search. Returns a 4x4 PNG grid (512x512, cells 0-15) and a mapping of cell numbers to SVG URLs.
| Parameter | Type | Default | Description | |
|---|---|---|---|---|
keyword | string | *required* | Semantic search query (e.g. "cloud computing", "arrows") | |
background | string | "#FFFFFF" | Grid background color, CSS hex | |
color | string \ | null | null | Recolor all icons to this CSS hex color |
get_svgRetrieve raw SVG markup from any source. Returns the complete SVG string for inspection or modification.
| Parameter | Type | Description |
|---|---|---|
source | string | URL, Iconify ID (mdi/cloud), absolute file path, or inline |
render_gridRender 1-16 SVGs onto a 4x4 comparison grid (512x512, cells 0-15). Useful for comparing icon variants side-by-side or previewing local icons alongside search results.
| Parameter | Type | Default | Description |
|---|---|---|---|
sources | string[] | *required* | 1-16 SVG sources (URLs, Iconify IDs, file paths, or inline SVGs) |
background | string | "#FFFFFF" | Grid background color, CSS hex |
All tools share a unified resolution pipeline that classifies sources automatically:
| Source type | Example | Resolution |
|---|---|---|
| Inline SVG | ... | Returned as-is |
| URL | https://mdn.alipayobjects.com/.../original | Resolved via API |
| File path | /home/user/icons/logo.svg | Read from local disk |
| Iconify ID | mdi/cloud, lucide/home | Resolved via API |
File paths are detected by prefix (/, ./, ~/) or .svg extension. Everything else without http:///https:// is treated as an Iconify ID.
All grid outputs are 512x512 PNG images with a 4x4 layout (128x128 cells), numbered 0-15 left-to-right, top-to-bottom:
┌────┬────┬────┬────┐
│ 0 │ 1 │ 2 │ 3 │ ├────┼────┼────┼────┤ │ 4 │ 5 │ 6 │ 7 │ ├────┼────┼────┼────┤ │ 8 │ 9 │ 10 │ 11 │ ├────┼────┼────┼────┤ │ 12 │ 13 │ 14 │ 15 │ └────┴────┴────┴────┘
Cell numbers appear at the bottom-left of each cell. Unused cells show the number only.
No build needed. Works on Linux (x64/arm64), macOS (Intel/Apple Silicon), and Windows (x64).
{
"mcpServers": { "icon-visual": { "command": "npx", "args": ["-y", "@br-ai-n/mcp-icon-visual"] } } }
Requires Rust (edition 2024):
cargo build --release --target x86_64-unknown-linux-musl
The release profile produces a fully static binary (musl libc, rustls-tls, LTO, stripped).
# Default upstream API
./mcp-icon-visual
./mcp-icon-visual --api-base http://localhost:3000
The server communicates over stdio using the MCP protocol.
{
"mcpServers": { "icon-visual": { "command": "npx", "args": ["-y", "@br-ai-n/mcp-icon-visual"] } } }
{
"mcpServers": { "icon-visual": { "command": "/path/to/mcp-icon-visual", "args": ["--api-base", "http://localhost:3000"] } } }
src/
├── main.rs # Entrypoint, CLI args, stdio transport ├── server.rs # IconServer + MCP tool routing + response builders ├── api_client.rs # HTTP client for upstream rendering API ├── resolve.rs # Source classification and SVG resolution ├── error.rs # Error types └── tools/ ├── mod.rs ├── search_icons.rs # SearchIconsParams ├── get_svg.rs # GetSvgParams └── render_grid.rs # RenderGridParams
# Unit tests (source classification)
cargo test
cargo test -- --ignored
| Crate | Purpose |
|---|---|
rmcp | MCP server SDK (tool routing, stdio transport) |
tokio | Async runtime |
reqwest | HTTP client (rustls-tls, no OpenSSL) |
serde / serde_json | Serialization |
schemars | JSON Schema generation for tool parameters |
clap | CLI argument parsing |
base64 | Base64 encoding |
tracing | Logging |
thiserror | Error derive macros |
MIT License
Copyright (c) 2025
Permission is hereby granted,
只显示了开头部分;其余内容请在仓库中阅读