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)
MCP server for Next AI Draw.io - AI-powered diagram generation with real-time browser preview
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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
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"draw-flow": {
"command": "npx",
"args": [
"-y",
"@io.github.hj1003862396/draw-flow-mcp-server"
]
}
}
}Run this in your terminal
claude mcp add draw-flow -- npx -y @io.github.hj1003862396/draw-flow-mcp-serverPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"draw-flow": {
"command": "npx",
"args": [
"-y",
"@io.github.hj1003862396/draw-flow-mcp-server"
]
}
}
}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": {
"draw-flow": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@io.github.hj1003862396/draw-flow-mcp-server"
]
}
}
}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.
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These 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 9, 2026
The registry name was verified with the GitHub account hj1003862396, which owns the repo
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.
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 –, and the latest version (1.0.2) reached the registry 10 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: Figma Context MCP, Claude Real Video, Figma MCP Server
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.
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.
MCP (Model Context Protocol) server that enables AI agents like Claude Desktop and Cursor to generate and edit draw.io diagrams with real-time browser preview.
Self-contained - includes an embedded HTTP server, no external dependencies required.
{
"mcpServers": { "drawio": { "command": "npx", "args": ["@next-ai-drawio/mcp-server@latest"] } } }
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": { "drawio": { "command": "npx", "args": ["@next-ai-drawio/mcp-server@latest"] } } }
Add to your VS Code settings (.vscode/mcp.json in workspace or user settings):
{
"mcpServers": { "drawio": { "command": "npx", "args": ["@next-ai-drawio/mcp-server@latest"] } } }
Add to Cursor MCP config (~/.cursor/mcp.json):
{
"mcpServers": { "drawio": { "command": "npx", "args": ["@next-ai-drawio/mcp-server@latest"] } } }
cline_mcp_settings.json{
"mcpServers": { "drawio": { "command": "npx", "args": ["@next-ai-drawio/mcp-server@latest"] } } }
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
Use the standard MCP configuration with:
npx["@next-ai-drawio/mcp-server@latest"]"Create a flowchart showing user authentication with login, MFA, and session management"
.drawio filesembed.diagrams.net by default, configurable via DRAWIO_BASE_URL)| Tool | Description |
|---|---|
start_session | Opens browser with real-time diagram preview |
create_new_diagram | Create a new diagram from XML (requires xml argument) |
edit_diagram | Edit diagram by ID-based operations (update/add/delete cells) |
get_diagram | Get the current diagram XML |
export_diagram | Save diagram to a .drawio file |
┌─────────────────┐ stdio ┌─────────────────┐
│ Claude Desktop │ <───────────> │ MCP Server │ │ (AI Agent) │ │ (this package) │ └─────────────────┘ └────────┬────────┘ │ ┌────────▼────────┐ │ Embedded HTTP │ │ Server (:6002) │ └────────┬────────┘ │ ┌────────▼────────┐ │ User's Browser │ │ (draw.io embed) │ └─────────────────┘
| Variable | Default | Description |
|---|---|---|
PORT | 6002 | Port for the embedded HTTP server |
DRAWIO_BASE_URL | https://embed.diagrams.net | Base URL for the draw.io embed. Set this to use a self-hosted draw.io instance for private deployments. |
For security-sensitive environments that require private deployment of draw.io:
{
"mcpServers": { "drawio": { "command": "npx", "args": ["@next-ai-drawio/mcp-server@latest"], "env": { "DRAWIO_BASE_URL": "https://drawio.your-company.com" } } } }
You can deploy your own draw.io instance using the official Docker image:
docker run -d -p 8080:8080 jgraph/drawio
Then set DRAWIO_BASE_URL=http://localhost:8080 (or your server's URL).
If port 6002 is in use, the server will automatically try the next available port (up to 6020).
Or set a custom port:
{
"mcpServers": { "drawio": { "command": "npx", "args": ["@next-ai-drawio/mcp-server@latest"], "env": { "PORT": "6003" } } } }
Call start_session first to open the browser window.
Check that the browser URL has the ?mcp= query parameter. The MCP session ID connects the browser to the server.
Apache-2.0