Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Read Lanhu design specs and export fine-grained UI assets with platform-adjusted units
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 14, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
SettingsDeveloperEdit Config
{
"mcpServers": {
"lanhu-design": {
"command": "uvx",
"args": [
"lanhu-design-mcp"
]
}
}
}Use Lanhu Design MCP and tell me what you can do for me, then show me one thing✓ If Claude says it is using Lanhu Design MCP or shows a Lanhu Design MCP tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Lanhu Design MCP yet
Lanhu Design MCP runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Lanhu Design MCP
B · Others in Design, images & audio that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user lanhu-design -- uvx lanhu-design-mcpYou should see Lanhu Design MCP listed as connected
Use Lanhu Design MCP and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Lanhu Design MCP or shows a Lanhu Design MCP tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use Lanhu Design MCP and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Lanhu Design MCP or shows a Lanhu Design MCP tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use Lanhu Design MCP and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Lanhu Design MCP or shows a Lanhu Design MCP tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user lanhu-design -- uvx lanhu-design-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"lanhu-design": {
"command": "uvx",
"args": [
"lanhu-design-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"lanhu-design": {
"command": "uvx",
"args": [
"lanhu-design-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"lanhu-design": {
"type": "stdio",
"command": "uvx",
"args": [
"lanhu-design-mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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 14, 2026
The registry name was verified with the GitHub account blantian, which owns the repo
Code last changed 4 months ago
Uses MIT
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
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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 4 months ago, and the latest version (0.2.0) reached the registry 4 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, AutoClip, Next AI Draw.io
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.
Clip long videos into short clips with covers and captions. Local CLI and MCP.
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
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.
面向 macOS 的蓝湖设计读取与细粒度 UI 资源导出 MCP 服务器。
pip install lanhu-design-mcp
lanhu-design-mcp auth login
lanhu-design-mcp auth status
首次运行打开独立的本地 Chrome Profile,完成一次交互式 Lanhu 登录。后续 MCP 进程自动重用会话,正常设计工具调用不会打开可见浏览器。认证仅使用托管 Chrome Profile,不需要也不支持通过 Cookie 环境变量或 Cookie 文件配置凭据。
lanhu-design-mcp auth logout --confirm
{
"mcpServers": { "lanhu-design-mcp": { "type": "stdio", "command": "/Users/your-name/.local/bin/lanhu-design-mcp", "args": [] } } }
将 /Users/your-name 替换为你的本机用户名。此配置适用于 cc-switch 导入。
| 工具 | 说明 |
|---|---|
lanhu_health_check | 返回本地配置状态,不访问网络且不暴露凭据 |
lanhu_get_designs | 获取项目的所有设计图列表 |
lanhu_analyze_design | 分析指定设计稿并返回平台调整后的 UI 结构 |
lanhu_get_design_assets | 返回完整设计图与细粒度可下载切图资源 |
lanhu_export_ui_context | 返回包含资产和分析的完整 Agent UI 还原上下文 |
lanhu_auth_login | 打开专属 Chrome Profile 进行交互式 Lanhu 登录 |
lanhu_auth_status | 报告托管认证状态,不含凭据 |
lanhu_auth_logout | 登出并删除托管 Profile,需要 confirm=true |
lanhu_auth_logout 并传 confirm=true,或 CLI --confirm,仅删除托管的标记 Profile。| 状态 | 说明 | 处理 |
|---|---|---|
auth_required | 凭据无效或过期 | 运行 lanhu-design-mcp auth login |
unsupported_platform | 仅在 macOS 支持 | 使用 macOS 设备 |
dependency_missing | Playwright Python 库或 Chrome 不可用 | pip install --upgrade lanhu-design-mcp |
profile_locked | 托管 Profile 被其他进程占用 | 等待完成后重试 |
cancelled | 登录窗口在认证完成前关闭 | 重新运行 lanhu-design-mcp auth login |
timed_out | 登录窗口 5 分钟内未完成认证 | 重新运行 lanhu-design-mcp auth login |
git clone https://github.com/blantian/lanhu-design-mcp
cd lanhu-design-mcp uv sync --dev uv run pytest
MIT