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 enabling AI assistants to interact with Figma designs via natural language commands
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.
FIGMA_ACCESS_TOKENValues 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": {
"figma-actor": {
"command": "npx",
"args": [
"-y",
"@oabolade-pegasus/figma-mcp-server"
],
"env": {
"FIGMA_ACCESS_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add figma-actor --env FIGMA_ACCESS_TOKEN=your-value -- npx -y @oabolade-pegasus/figma-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"figma-actor": {
"command": "npx",
"args": [
"-y",
"@oabolade-pegasus/figma-mcp-server"
],
"env": {
"FIGMA_ACCESS_TOKEN": "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": {
"figma-actor": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@oabolade-pegasus/figma-mcp-server"
],
"env": {
"FIGMA_ACCESS_TOKEN": "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.
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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 7, 2026
The registry name was verified with the GitHub account oabolade, 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: FIGMA_ACCESS_TOKEN
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 (2.1.0) reached the registry 11 months 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.
Model Context Protocol (MCP) server that exposes Figma REST API capabilities to AI assistants (Cursor, Claude, custom agents). Runs as a long-running web server on the Apify platform (standby / container URL) or locally via apify run.
Recommended for solo use. Set `figmaAccessToken` in Actor input (or FIGMA_ACCESS_TOKEN in env).
X-Figma-Token/oauth/* routes return an error).Use when you omit figmaAccessToken and provide a Figma OAuth app:
| Input | Purpose |
|---|---|
oauthClientId | From Figma → Developers → Apps |
oauthClientSecret | Same app |
oauthRedirectUri | Exact redirect URL registered on the app, e.g. https:// .runs.apify.net/oauth/callback |
oauthScopes | Optional; comma-separated scopes. Must be a subset of the app’s configured scopes. Defaults include file_content:read, file_content:write, file_comments:read, file_comments:write. |
Flow
FIGMA_OAUTH_SESSION) and refreshed when near expiry.Token exchange uses Figma’s documented endpoints (https://api.figma.com/v1/oauth/token and .../oauth/refresh). Codes expire quickly — complete the redirect promptly.
npm install
apify login apify push
In Apify Console, open the Actor, set input (at minimum figmaAccessToken), start with web server / long-running as required by your template, then use the Container URL from the run.
Deploy reference: apify push builds and publishes; see Apify CLI.
| Parameter | Type | Default | Description |
|---|---|---|---|
figmaAccessToken | string | — | PAT (recommended). If set, used for all Figma API calls. |
port | integer | 8080 | HTTP listen port (Apify may override via web_server_port). |
oauthClientId | string | — | OAuth app client ID (only if not using PAT). |
oauthClientSecret | string | — | OAuth app secret (secret input). |
oauthRedirectUri | string | — | Must match Figma app redirect URI exactly. |
oauthScopes | string | — | Optional scope override (comma-separated). |
maxConcurrentRequests | integer | 10 | Reserved / future use. |
enableCaching | boolean | true | Cache GET responses from Figma. |
Local / CLI input file example (apify run):
{
"figmaAccessToken": "figd_...", "port": 8080 }
| Method | Path | Description | ||
|---|---|---|---|---|
GET | / | Service info and endpoint list | ||
GET | /health | Liveness; includes auth_mode: pat \ | oauth \ | pending_oauth, figma_authenticated |
POST | /mcp | MCP JSON-RPC 2.0 (primary transport for this server) | ||
GET | /oauth/authorize | Start OAuth (browser); disabled if PAT is set | ||
GET | /oauth/callback | OAuth redirect handler |
Apify MCP path: .actor/actor.json sets webServerMcpPath to `/mcp`. Your MCP client URL is typically:
https:// .runs.apify.net/mcp
(Use the Container URL from the run page + /mcp.)
Example (remote HTTP MCP — adjust to your Cursor version’s expected shape):
{
"mcpServers": { "figma-mcp-standby": { "url": "https://YOUR_RUN_ID.runs.apify.net/mcp" } } }
Notes
mcp.json is not passed to this Node process; it does not replace Figma auth. Use `figmaAccessToken` (or OAuth) in Actor input.mcp.json and restart Cursor after a new run.curl https://.../health.Use your client’s supported way to attach a remote MCP URL (e.g. mcp-remote pointing at https://.../mcp). Paths and query params depend on the client version.
npm install
apify run
Or run the entry with Node if you inject env / input yourself:
export FIGMA_ACCESS_TOKEN="figd_..."
node src/main.js
Check health (port from logs or input):
curl -s http://localhost:8080/health | jq .
Sample MCP initialize:
curl -s -X POST http://localhost:8080/mcp \
-H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'
figma_mcp_actor/
├── .actor/ │ ├── actor.json # Apify Actor metadata (incl. webServerMcpPath: /mcp) │ ├── input_schema.json │ ├── output_schema.json │ └── dataset_schema.json ├── src/ │ ├── main.js # Express app, /mcp, /oauth/*, Apify bootstrap │ ├── figma/ │ │ ├── auth.js # PAT + OAuth token exchange, refresh, KV hook │ │ └── client.js # Figma REST wrapper │ ├── oauth/ │ │ └── persist.js # Apify KV: FIGMA_OAUTH_SESSION │ ├── mcp/ # Protocol, handlers, server │ ├── tools/ │ ├── resources/ │ └── prompts/ ├── Dockerfile ├── package.json └── README.md
Includes (names may vary slightly in code): file analysis (analyze_file, get_file_structure, …), components (list_components, …), export (export_node, …), comments (get_comments, create_comment, …), design modification helpers, plus resources (figma://file/..., etc.) and prompts for common tasks.
npm run lint
npm run lint:fix npm run format
ISC
FIGMA_OAUTH_SESSION).oauthRedirectUri, oauthScopes.auth_mode, figma_authenticated./mcp JSON-RPC.References: Apify Actors · Figma REST API · Model Context Protocol