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)
Inspect editable image source clues. No C2PA signature verification or authenticated origin.
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": {
"ai-image-detector": {
"command": "npx",
"args": [
"-y",
"checkaifree-mcp"
]
}
}
}Run this in your terminal
claude mcp add ai-image-detector -- npx -y checkaifree-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ai-image-detector": {
"command": "npx",
"args": [
"-y",
"checkaifree-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": {
"ai-image-detector": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"checkaifree-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 against the domain checkaifree.com (the registry checks domain ownership)
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 21 days 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.
Official MCP adapter for Check AI Free. It uploads a selected image for source/header inspection and returns editable metadata observations with limitations. It does not verify C2PA signatures, authenticate an origin or identify an exact generator.
{
"mcpServers": { "checkaifree": { "command": "npx", "args": ["-y", "checkaifree-mcp"] } } }
Use this stdio configuration in an MCP client that supports local commands. No service API key or account is required; rate limits and availability apply.
detect_ai_image: accepts one of image_url, file_path, or image_base64. Read source observations; metadata-only readings do not display a model percentage.inspect_c2pa_provenance: accepts image_url or file_path. The historical tool name is retained for compatibility. It observes source markers and camera fields; signatures, asset binding and certificate trust are not verified.Supported inputs: JPEG, PNG and WebP up to 10 MiB. A supplied URL is fetched by this Node process; the selected image bytes and filename are then sent to the Check AI Free backend. Local files and base64 input are also uploaded. This adapter is not an in-browser/local-only checker. Do not supply sensitive images without reviewing image handling.
The current adapter calls the source/header endpoint. It does not run the website's separate image re-encoding/pixel-model fallback. Missing metadata can therefore remain inconclusive. Use the website for the full user-facing flow. Source text is editable; no metadata observation or model estimate is proof of authenticity or account identity.
An illustrative source-only response might say:
Source text suggests AI generation. No completed model score; source clues alone do not establish a probability. Source fields are editable. C2PA signatures are not verified.
This is an explanation of output semantics, not an accuracy benchmark. The method page documents the product's capabilities and limits.
npm ci
npm test npm pack --dry-run
The default tests are offline: output semantics, protocol initialization/tool discovery and missing-input rejection. test:live retains the legacy integration runner and requires explicit review of its fixtures and network requests before use. Release checks do not need paid provider calls.
Source: hyai-dev/checkaifree-mcp. MIT license; see LICENSE.