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 photo, video and song apps plus image, video and music generation on Tanvo (tanvo.ai).
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。
TANVO_API_KEY, TANVO_OUTPUT_DIR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": {
"tanvo": {
"command": "npx",
"args": [
"-y",
"tanvo-mcp"
],
"env": {
"TANVO_API_KEY": "your-value",
"TANVO_OUTPUT_DIR": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add tanvo --env TANVO_API_KEY=your-value --env TANVO_OUTPUT_DIR=your-value -- npx -y tanvo-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": {
"tanvo": {
"command": "npx",
"args": [
"-y",
"tanvo-mcp"
],
"env": {
"TANVO_API_KEY": "your-value",
"TANVO_OUTPUT_DIR": "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": {
"tanvo": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tanvo-mcp"
],
"env": {
"TANVO_API_KEY": "your-value",
"TANVO_OUTPUT_DIR": "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。
TANVO_OUTPUT_DIR env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
注册名称已通过域名 tanvo.ai 验证(注册中心会核实域名所有权)
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:TANVO_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(0.2.1)于28天前进入注册中心。
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。
The MCP server for Tanvo, an AI image, video and music studio. Ask your assistant for "a renaissance portrait of my cat from this photo", "turn this selfie into a boxed action figure", "a 10-second clip of this product spinning" or "a birthday song for Sam", and it runs it on Tanvo and hands you the file.
Works in Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Cline, Codex, Gemini CLI and any other MCP client. No API key needed to try it: the house image engine runs on the free tier.
| Tool | What it does |
|---|---|
find_apps | Search the apps by what the user wants ("royal pet portrait", "fix an old photo") |
get_app | An app's inputs and looks, with example outputs, prompts and cost |
generate_from_app | Run an app's look on the user's photos |
generate_image | Text to image, or edit / combine photos |
generate_video | Text or image to video (returns an id; videos take minutes) |
generate_music | Write a song: describe it, bring lyrics, or go instrumental |
get_generation | Status and outputs of a run; can wait and save files |
list_models | Every model, its options and its credit cost |
account | Free tier or account, and the credits left |
open_in_tanvo | A link that opens the app, look or studio ready to go |
The server runs with npx, so there is nothing to install first (Node 20+).
Claude Code
claude mcp add tanvo -- npx -y tanvo-mcp
Add -e TANVO_API_KEY=sk_... to run on your account.
Claude Desktop, Cursor, Windsurf, Cline, VS Code (the mcpServers block of the client's MCP config)
{
"mcpServers": { "tanvo": { "command": "npx", "args": ["-y", "tanvo-mcp"], "env": { "TANVO_API_KEY": "sk_..." } } } }
Gemini CLI
gemini extensions install https://github.com/tanvoai/tanvo-mcp
Codex (~/.codex/config.toml)
[mcp_servers.tanvo]
command = "npx" args = ["-y", "tanvo-mcp"] env = { TANVO_API_KEY = "sk_..." }
AI agents that install servers themselves (Cline and others) can follow llms-install.md.
Without a key the server uses Tanvo's anonymous free tier: the house image engine (studio-image-v1), watermarked, a few images per machine per day. Everything else (apps on premium models, video, songs) needs a key. When a call needs one, the server replies with a link that opens the same app or prompt in the browser, where new accounts start with free credits.
Create a key under Settings → API keys. A key runs on your own account: the same models, prices and plan as the website, and every run lands in your history. Each run's price is shown by get_app / list_models, and failed runs are refunded automatically.
| Variable | Meaning |
|---|---|
TANVO_API_KEY | Your API key (optional) |
TANVO_OUTPUT_DIR | Save every result into this folder (optional; each call can also pass save_to) |
TANVO_BASE_URL | Another deployment, e.g. a local build (default https://tanvo.ai) |
TANVO_ANON_ID | Fix the free-tier id instead of the one stored in ~/.config/tanvo-mcp/anon-id |
Make my dog look like a Renaissance oil painting. ~/Pictures/rex.jpg
find_apps → get_app ai-pet-portrait-generator → generate_from_app with look renaissance and the photo.
Write a birthday song for my sister Ana, she loves surfing and terrible puns. Save it to ~/Music.
generate_music in Describe mode with save_to: "~/Music".
Animate this product photo into a slow 360° spin, 9:16.
find_apps "product spin" → generate_from_app product-spin, then get_generation until it is done.
Prompts and photos you pass are sent to tanvo.ai to run the job, under the privacy policy. Content is moderated before anything runs. The server stores nothing except the anonymous free-tier id.
npm install
npm run build TANVO_BASE_URL=http://localhost:3210 node dist/index.js
Docs: tanvo.ai/developers/mcp · API reference: tanvo.ai/developers/api · OpenAPI: tanvo.ai/openapi.yaml
pip install tanvonpm install @tanvoai/sdkMIT