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)
Local image tools via ImageMagick: metadata, resize, convert, crop, rotate.
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
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"imageport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/imageport",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add imageport -- npx -y @reneturcios/imageport mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"imageport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/imageport",
"mcp"
]
}
}
}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": {
"imageport": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/imageport",
"mcp"
]
}
}
}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 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, 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 (0.1.0) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker 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.
imageport does local image work with ImageMagick. It reads an image file's metadata — format, dimensions, color space, file size — resizes an image while preserving its aspect ratio, converts between the common web and print formats (png, jpg, webp, gif, avif, bmp, tiff), crops a rectangle out of an image, and rotates by an angle in degrees. Every operation is plain local file processing: there is no image generation, no hosted AI, and no network call anywhere in this package.
All five tools build ImageMagick argument arrays and run them through one injectable executor. The default executor spawns convert and identify with node:child_process execFile — argument arrays, never a shell string — so a host needs ImageMagick installed. When the binaries are absent, the spawn error (for example ENOENT) is surfaced as the tool error, honestly; nothing is faked. The unit tests exercise the same core through a fake executor that records the argument arrays, so they need no ImageMagick at all.
One behaviour worth knowing up front: ImageMagick decides the output format from the output file's extension, so convert_image replaces the requested output path's extension with the target format whenever the two differ (converting photo.png to webp writes photo.webp), and the result reports that effective path.
npx -y @reneturcios/imageport mcp
Or run the container image (note: the container bundles no ImageMagick, so it passes MCP initialize / CLI usage smoke only — run on a host with ImageMagick installed for real work):
docker run -i ghcr.io/cloudcorprecords/imageport
imageport metadata <input>
imageport resize [--width n] [--height n] imageport convert imageport crop imageport rotate imageport mcp imageport --version
Examples:
imageport metadata photo.png
imageport resize photo.png photo-small.png --width 800 imageport convert photo.png photo-out.png webp # writes photo-out.webp imageport crop photo.png tile.png 200 200 40 60 imageport rotate photo.png photo-upright.png 90
Each command prints its result as JSON. Exit codes: 0 on success, 1 when ImageMagick fails (including when it is not installed), 2 for usage errors.
One bin serves both faces. The mcp subcommand starts a stdio MCP server:
npx -y @reneturcios/imageport mcp
MCP client configuration:
{
"mcpServers": { "imageport": { "command": "npx", "args": ["-y", "@reneturcios/imageport", "mcp"] } } }
| Tool | Input | What it does |
|---|---|---|
get_image_metadata | input (required) | Reads format, width, height, color space, and file size via identify. |
resize_image | input, output (required); width, height (at least one) | Resizes preserving aspect ratio via convert -resize. |
convert_image | input, output, format (required) | Converts to png, jpg, webp, gif, avif, bmp, or tiff; the output extension is replaced with the format when it differs. |
crop_image | input, output, width, height, x, y (required) | Crops a width x height region at offset x, y via convert -crop ... +repage. |
rotate_image | input, output, angle (required) | Rotates by angle degrees via convert -rotate. |
npm install
npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, fake executor, no ImageMagick needed npm run dev # run the CLI from source via tsx
MIT — see LICENSE.