Claude Real Video
Let any LLM watch a video locally — and search everything it has ever watched.
Description from the maker (original English)
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
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
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"figma-context": {
"command": "npx",
"args": [
"-y",
"figma-developer-mcp",
"--stdio"
],
"env": {
"FIGMA_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add figma-context --env FIGMA_API_KEY=your-value -- npx -y figma-developer-mcp --stdioPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"figma-context": {
"command": "npx",
"args": [
"-y",
"figma-developer-mcp",
"--stdio"
],
"env": {
"FIGMA_API_KEY": "your-value"
}
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"figma-context": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"figma-developer-mcp",
"--stdio"
],
"env": {
"FIGMA_API_KEY": "your-value"
}
}
}
}Values marked secret are keys to your account. Never share them or paste them into a chat.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 5, 2026
The registry name was verified with the GitHub account GLips, which owns the repo
Code last changed 9 days ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Needs the server’s tool list first; this check starts in the next step
Compared only with servers in this prototype, not the whole registry.
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.
You need to fill in: FIGMA_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 9 days ago, and the latest version (0.13.2) reached the registry 5 months 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: Claude Real Video, Figma MCP Server, Harness
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
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.
Start Claude Code and Codex agents the person can watch, wait for them and read their answers.
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.
Framelink MCP for Figma Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Give Cursor and other AI-powered coding tools access to your Figma files with this Model Context Protocol server.
When Cursor has access to Figma design data, it's way better at one-shotting designs accurately than alternative approaches like pasting screenshots.
See quickstart instructions →
Watch a demo of building a UI in Cursor with Figma design data
This MCP server is specifically designed for use with Cursor. Before responding with context from the Figma API, it simplifies and translates the response so only the most relevant layout and styling information is provided to the model.
Reducing the amount of context provided to the model helps make the AI more accurate and the responses more relevant.
Many code editors and other AI clients use a configuration file to manage MCP servers.
The figma-developer-mcp server can be configured by adding the following to your configuration file.
NOTE: You will need to create a Figma access token to use this server. Instructions on how to create a Figma API access token can be found here.
{
"mcpServers": { "Framelink MCP for Figma": { "command": "npx", "args": ["-y", "figma-developer-mcp", "--figma-api-key=YOUR-KEY", "--stdio"] } } }
{
"mcpServers": { "Framelink MCP for Figma": { "command": "cmd", "args": ["/c", "npx", "-y", "figma-developer-mcp", "--figma-api-key=YOUR-KEY", "--stdio"] } } }
Or you can set FIGMA_API_KEY and PORT in the env field.
If you need more information on how to configure the Framelink MCP for Figma, see the Framelink docs.
The Framelink MCP for Figma is simple but powerful. Get the most out of it by learning more at the Framelink site.