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 Draw Things - local AI image generation on Mac
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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": {
"drawthings": {
"command": "npx",
"args": [
"-y",
"mcp-drawthings"
]
}
}
}Run this in your terminal
claude mcp add drawthings -- npx -y mcp-drawthingsPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"drawthings": {
"command": "npx",
"args": [
"-y",
"mcp-drawthings"
]
}
}
}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": {
"drawthings": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-drawthings"
]
}
}
}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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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 with the GitHub account james-see, 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
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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.
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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 (1.1.2) 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:★ 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.
An MCP (Model Context Protocol) server for Draw Things - enabling LLMs to generate images locally on Mac using Stable Diffusion and other AI models.
Verify the server is running:
curl http://localhost:7860
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "drawthings": { "command": "npx", "args": ["-y", "mcp-drawthings"] } } }
Add to .cursor/mcp.json in your project or global config:
{
"mcpServers": { "drawthings": { "command": "npx", "args": ["-y", "mcp-drawthings"] } } }
Restart Claude Desktop or Cursor to load the new MCP server.
check_statusCheck if the Draw Things API server is running and accessible.
get_configGet the current Draw Things configuration including the loaded model and settings.
generate_imageGenerate an image from a text prompt.
Parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Yes | Text description of the image to generate |
negative_prompt | string | No | Elements to exclude from the generated image |
width | number | No | Image width in pixels (default: 512) |
height | number | No | Image height in pixels (default: 512) |
steps | number | No | Number of inference steps (default: 20) |
cfg_scale | number | No | Guidance scale (default: 7.5) |
seed | number | No | Random seed for reproducibility (-1 for random) |
output_path | string | No | Custom file path to save the image |
Example:
Generate an image of a futuristic city at sunset with flying cars
transform_imageTransform an existing image using a text prompt (img2img).
Parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Yes | Text description of the desired transformation |
image_path | string | No* | Path to the source image file |
image_base64 | string | No* | Base64-encoded source image |
negative_prompt | string | No | Elements to exclude |
denoising_strength | number | No | Transformation strength 0.0-1.0 (default: 0.75) |
steps | number | No | Number of inference steps (default: 20) |
cfg_scale | number | No | Guidance scale (default: 7.5) |
seed | number | No | Random seed (-1 for random) |
output_path | string | No | Custom file path to save the result |
*Either image_path or image_base64 must be provided.
| Variable | Default | Description |
|---|---|---|
DRAWTHINGS_HOST | localhost | Draw Things API host |
DRAWTHINGS_PORT | 7860 | Draw Things API port |
DRAWTHINGS_OUTPUT_DIR | ~/Pictures/drawthings-mcp | Directory for generated images |
┌─────────────────┐ stdio ┌──────────────────┐ HTTP ┌─────────────┐
│ MCP Client │◄──────────────►│ mcp-drawthings │◄────────────►│ Draw Things │ │ (Claude/Cursor) │ JSON-RPC │ │ localhost │ App │ └─────────────────┘ └──────────────────┘ :7860 └─────────────┘ │ ▼ ┌──────────────┐ │ File System │ │ (images) │ └──────────────┘
# Clone the repository
git clone https://github.com/james-see/mcp-drawthings cd mcp-drawthings
npm install
npm run build
npm run dev
curl http://localhost:7860Check that the output directory is writable. You can set a custom directory using the DRAWTHINGS_OUTPUT_DIR environment variable.
MIT