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)
AI photo, video and song apps plus image, video and music generation on Tanvo (tanvo.ai).
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.
TANVO_API_KEY, TANVO_OUTPUT_DIRValues marked secret are keys to your account. Never share them or paste them into a chat.
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": {
"tanvo": {
"command": "npx",
"args": [
"-y",
"tanvo-mcp"
],
"env": {
"TANVO_API_KEY": "your-value",
"TANVO_OUTPUT_DIR": "your-value"
}
}
}
}Run this in your terminal
claude mcp add tanvo --env TANVO_API_KEY=your-value --env TANVO_OUTPUT_DIR=your-value -- npx -y tanvo-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tanvo": {
"command": "npx",
"args": [
"-y",
"tanvo-mcp"
],
"env": {
"TANVO_API_KEY": "your-value",
"TANVO_OUTPUT_DIR": "your-value"
}
}
}
}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": {
"tanvo": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"tanvo-mcp"
],
"env": {
"TANVO_API_KEY": "your-value",
"TANVO_OUTPUT_DIR": "your-value"
}
}
}
}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.
TANVO_OUTPUT_DIR envThese 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 7, 2026
The registry name was verified against the domain tanvo.ai (the registry checks domain ownership)
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.
You need to fill in: TANVO_API_KEY
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 (0.2.1) reached the registry 28 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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.
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