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)
Give your agent eyes. Search video, images, and audio via the Mixpeek multimodal retrieval API.
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.
MIXPEEK_API_KEY, MIXPEEK_NAMESPACE, MIXPEEK_API_BASEValues 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 …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"mixpeek": {
"command": "npx",
"args": [
"-y",
"@mixpeek/mcp"
],
"env": {
"MIXPEEK_API_KEY": "your-value",
"MIXPEEK_NAMESPACE": "your-value",
"MIXPEEK_API_BASE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add mixpeek --env MIXPEEK_API_KEY=your-value --env MIXPEEK_NAMESPACE=your-value --env MIXPEEK_API_BASE=your-value -- npx -y @mixpeek/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"mixpeek": {
"command": "npx",
"args": [
"-y",
"@mixpeek/mcp"
],
"env": {
"MIXPEEK_API_KEY": "your-value",
"MIXPEEK_NAMESPACE": "your-value",
"MIXPEEK_API_BASE": "your-value"
}
}
}
}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": {
"mixpeek": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@mixpeek/mcp"
],
"env": {
"MIXPEEK_API_KEY": "your-value",
"MIXPEEK_NAMESPACE": "your-value",
"MIXPEEK_API_BASE": "your-value"
}
}
}
}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.
MIXPEEK_NAMESPACE envMIXPEEK_API_BASE envThese 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 mixpeek, 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.
You need to fill in: MIXPEEK_API_KEY
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 (0.1.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, 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.
A lightweight, production-friendly Model Context Protocol (MCP) server for Mixpeek that:
Authorization and X-Namespace headersPython (PyPI):
# global (recommended)
pipx install mixpeek-mcp
python -m venv .venv && source .venv/bin/activate pip install mixpeek-mcp
npm (Node):
# run once
npx @mixpeek/mcp
npm i -g @mixpeek/mcp
Homebrew (macOS):
# tap and install (once the tap is live)
brew tap mixpeek/tap https://github.com/mixpeek/homebrew-tap brew install mixpeek-mcp
brew install --build-from-source Formula/mixpeek-mcp.rb
cp env.sample .env
Env vars:
MIXPEEK_API_KEY: Your Mixpeek API key (optional if endpoints don't require auth)MIXPEEK_API_BASE: Default https://api.mixpeek.comMIXPEEK_OPENAPI_URL: Defaults to /openapi.json (or /docs/openapi.json)MIXPEEK_NAMESPACE: Optional namespace value to send via X-NamespaceMCP_RATE_MAX_CALLS: Default 20 per MCP_RATE_PER_SECONDSMCP_RATE_PER_SECONDS: Default 10MCP_CONNECT_TIMEOUT: Default 5MCP_READ_TIMEOUT: Default 30# PyPI
mixpeek-mcp
python server.py
mixpeek-mcp
Your MCP client (e.g., Claude Desktop) can attach to this server via stdio.
docker build -t mixpeek-mcp:latest .
docker run --rm -it \ -e MIXPEEK_API_KEY=sk_... \ -e MIXPEEK_NAMESPACE=your_namespace \ mixpeek-mcp:latest
Or pull and run (once published):
docker run --rm -it \
-e MIXPEEK_API_KEY=sk_... \ -e MIXPEEK_NAMESPACE=your_namespace \ ghcr.io/mixpeek/mcp:latest
@mixpeek/mcp → https://www.npmjs.com/package/@mixpeek/mcpmixpeek-mcp → https://pypi.org/project/mixpeek-mcp/ (publish pending)mixpeek/mcp (pending push), GHCR: ghcr.io/mixpeek/mcp (pending push)mixpeek/tap/mixpeek-mcp (tap repo to be created)We prepared registry.json compatible with the Official Docker MCP Registry. To submit:
registry.json (update Docker image reference if you publish under a different org/tag).Required for write-protected endpoints:
MIXPEEK_API_KEY: Authorization: Bearer Optional:
MIXPEEK_NAMESPACE: sets X-Namespace for isolationMIXPEEK_API_BASE: defaults to https://api.mixpeek.com; testing: https://server-xb24.onrender.comMIXPEEK_OPENAPI_URL: defaults to /openapi.json (or /docs/openapi.json)MCP_RATE_MAX_CALLS / MCP_RATE_PER_SECONDS: simple token bucketMCP_CONNECT_TIMEOUT / MCP_READ_TIMEOUT: request timeoutsoperationIdquery/body envelopeUnit tests:
pip install -r requirements.txt
pytest -q
Live test (optional):
export LIVE_MIXPEEK_API_KEY=sk_...
export LIVE_MIXPEEK_OPENAPI_URL=https://server-xb24.onrender.com/docs/openapi.json export LIVE_MIXPEEK_API_BASE=https://server-xb24.onrender.com pytest -q tests/test_live_integration.py
mixpeek-mcp).https://docs.mixpeek.com/overview/introductionhttps://api.mixpeek.com/docs/openapi.jsonhttps://modelcontextprotocol.io/docs/getting-started/intro