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 that converts raster images (PNG/JPG/WEBP) to SVG vector format
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
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": {
"image2svg": {
"command": "uvx",
"args": [
"image2svg-mcp"
]
}
}
}Run this in your terminal
claude mcp add image2svg -- uvx image2svg-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"image2svg": {
"command": "uvx",
"args": [
"image2svg-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": {
"image2svg": {
"type": "stdio",
"command": "uvx",
"args": [
"image2svg-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.
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.
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 7, 2026
The registry name was verified with the GitHub account botmonster, 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 (1.0.1) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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 server that converts raster images (PNG, JPG, WEBP) to scalable SVG vector graphics.
data:image/...;base64, URI prefixes automaticallyfile:// URL support for local images (opt-in via --allow-local-files-path)To see it in action check converting image to svg online.
Add to your settings.json:
{
"mcpServers": { "image2svg": { "command": "uvx", "args": ["image2svg-mcp"] } } }
for **Claude Code** add using command line:
claude mcp add image2svg --scope user -- uvx image2svg-mcp
with access to local files:
claude mcp add image2svg --scope user -- uvx image2svg-mcp --allow-local-files-path /home/user/images
Run as an HTTP server:
docker run -p 8000:8000 ghcr.io/botmonster/image2svg-mcp
With local file access:
docker run -p 8000:8000 -v /home/user/images:/images ghcr.io/botmonster/image2svg-mcp --allow-local-files-path /images
claude mcp add image2svg --transport http --scope user http://localhost:8000/mcp
This enables prompts like:
Convert this local file to SVG: file://logo.png
Only files inside the specified directory (and its subdirectories) are accessible. Paths are normalized to prevent directory traversal. Without this flag, file:// URLs are rejected.
Here are some examples of what you can tell an LLM to do with this tool:
Generate an image of a sunset over mountains, then convert it to SVG.
The LLM will generate a raster image and then use the convert_image_to_svg tool with default settings to produce a clean vector version.
Create a logo with a blue circle and a white star inside it. Now convert it to SVG using binary colormode for crisp edges and set filter_speckle to 10 to remove noise.
This uses colormode: "binary" for black/white line art style output, which works great for logos and icons. The higher filter_speckle value removes small artifacts.
Convert this image to a simplified SVG with low color precision for a minimalist poster look: https://example.com/photo.png
Using color_precision: 3 reduces the number of colors dramatically, producing an artistic posterized vector effect. Great for stylized illustrations.
Convert this base64 image to SVG: iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAO0lEQVR4nGP8z8Dwn4EIwESMIqwKGRn+MzBisYQJXRE2NopCbKYgi5Huxv8MjBiSyGJMuCTQNTJSPRwBCjYOD5JU5rIAAAAASUVORK5CYII=
This is a 10x10 red square with a blue circle in the middle. Useful for testing the tool with inline image data — no URL needed.
| Parameter | Type | Default | Range | Description |
|---|---|---|---|---|
image_base64 | string | - | - | Base64-encoded image data. Provide this OR image_url. |
image_url | string | - | - | URL to fetch the image from (http://, https://, or file:// when enabled). Provide this OR image_base64. |
colormode | string | "color" | color, binary | Full color or black/white line art |
mode | string | "spline" | spline, polygon, none | Tracing mode: smooth curves, straight edges, or pixel-perfect |
filter_speckle | int | 4 | 0-128 | Remove speckles of N pixels or fewer |
color_precision | int | 6 | 1-12 | Color quantization bits. Lower = fewer colors, simpler SVG |
layer_difference | int | 16 | 0-128 | Color difference for merging layers |
corner_threshold | int | 60 | 0-180 | Angle threshold for corner detection (degrees) |
length_threshold | float | 4.0 | 3.5-10.0 | Minimum path segment length |
splice_threshold | int | 45 | 0-180 | Angle threshold for splicing splines |
path_precision | int | 8 | 1-12 | Decimal precision for SVG coordinates |
hierarchical | string | "stacked" | stacked, cutout | Layer arrangement mode |
max_iterations | int | 10 | 1-100 | Max curve fitting iterations |
git clone https://github.com/botmonster/image2svg-mcp.git
cd image2svg-mcp uv sync
uv run pytest tests/ -v
uv run fastmcp dev inspector src/image2svg_mcp/server.py:mcp
Apache 2.0 - see LICENSE