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)
Check whether a video was generated by AI (Sora, Veo, Kling, HeyGen and others).
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.
AuthorizationValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http aivideocheck https://api.aivideocheck.net/mcp --header 'Authorization: Bearer {api_key}'Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"aivideocheck": {
"url": "https://api.aivideocheck.net/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}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": {
"aivideocheck": {
"type": "http",
"url": "https://api.aivideocheck.net/mcp",
"headers": {
"Authorization": "Bearer {api_key}"
}
}
}
}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 address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Your choice stays on this device in a cookie; no account needed.
Authorization secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 aivideocheck.net (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
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.
You need to fill in: Authorization
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 37 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
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.
Let Claude, Cursor or any MCP client check whether a video was generated by AI.
This server connects your AI assistant to AI Video Check, a detector for AI-generated video (Sora, Veo, Kling, MiniMax, HeyGen and others). Give it a link or a local file, and it returns the probability of AI generation with separate scores for the picture and the sound.
It is a thin layer over the public AI Video Check API: the same key, the same credits and the same results.
| Tool | What it does | Cost |
|---|---|---|
check_video(url) | Checks the video at a public link (TikTok, Instagram, X, YouTube, Facebook or a direct file URL). Waits up to about a minute for the result. | 1 credit per started minute of video |
get_check(check_id) | Returns the result of an earlier check. Results are kept for 24 hours. | free |
get_balance() | Shows the remaining credits and the limits of your key. | free |
check_file(path) | Checks a video file on your own computer. Local mode only. | 1 credit per started minute of video |
Every result tells the assistant how to read it: a probability, not proof. A low score means no signs of generation were found, not that the video is authentic. Editing, visual effects and face swaps on real footage are not detected.
Keep the key secret. Anyone holding it spends your credits. You can revoke a key on the same page; it stops working within a minute.
The server runs at https://api.aivideocheck.net/mcp (Streamable HTTP). Your client sends the key in the Authorization header.
Claude Code
claude mcp add --transport http aivideocheck https://api.aivideocheck.net/mcp --header "Authorization: Bearer avc_live_..."
Cursor (~/.cursor/mcp.json)
{
"mcpServers": { "aivideocheck": { "url": "https://api.aivideocheck.net/mcp", "headers": { "Authorization": "Bearer avc_live_..." } } } }
Any other client that supports Streamable HTTP with custom headers works the same way.
The local server runs on your machine and can also check video files from your disk. It uploads them to AI Video Check for analysis, exactly as the website does; files are deleted when the check ends.
git clone https://github.com/aivideocheck/aivideocheck-mcp
cd aivideocheck-mcp python -m venv .venv .venv/bin/pip install -r requirements.txt # Windows: .venv\Scripts\pip
Then point your client at it, for example Claude Desktop (claude_desktop_config.json):
{
"mcpServers": { "aivideocheck": { "command": "/path/to/aivideocheck-mcp/.venv/bin/python", "args": ["/path/to/aivideocheck-mcp/avc_mcp.py"], "env": { "AVC_API_KEY": "avc_live_..." } } } }
check_file sends only files that are named and built like a video container (MP4, MOV, WebM, MKV, AVI and similar). Anything else stays on your computer, so an instruction hidden in a web page cannot make your assistant upload, say, your SSH key.
| Variable | Default | Meaning |
|---|---|---|
AVC_API_KEY | — | Your key. Read in local mode only; the remote server never uses a key from its own environment. |
AVC_API_BASE | https://api.aivideocheck.net | API address. |
AVC_MCP_WAIT_S | 55 | How long check_video waits for a result before returning the check id. |
.venv/bin/python tests/test_mcp.py
The test runs the server against a fake API on 127.0.0.1, over real HTTP and real stdio, with the MCP SDK's own client. It does not touch the live service.
Checks spend the same credits as the website: one credit per started minute of video. Prices are on the developer page. Use of the API is governed by the Terms of Service and the Privacy Policy.
Questions: support@aivideocheck.net
MIT — see LICENSE.