Figma MCP Server

Official registry Media and design

MCP server enabling AI assistants to interact with Figma designs via natural language commands

What can you do with Figma MCP Server?

  • File analysis — structure, metadata, styles, depth-limited trees
  • Components — list, details, usage
  • Assets — export nodes (PNG, SVG, PDF, JPG)
  • Comments — read and create
  • Projects / teams — listings and metadata
  • MCP resources & prompts for guided workflows

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @oabolade-pegasus/figma-mcp-server
Claude Code
claude mcp add figma-mcp-server -e 'FIGMA_ACCESS_TOKEN=<your figma_access_token>' -- npx -y @oabolade-pegasus/figma-mcp-server@2.1.0
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "figma-mcp-server": {
            "command": "npx",
            "args": [
                "-y",
                "@oabolade-pegasus/figma-mcp-server@2.1.0"
            ],
            "env": {
                "FIGMA_ACCESS_TOKEN": "<your figma_access_token>"
            }
        }
    }
}

Environment variables

  • FIGMA_ACCESS_TOKEN required secret Figma Personal Access Token for API authentication. Get yours at https://www.figma.com/developers/api#access-tokens

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Figma MCP Server (Apify Actor)
  2. Features
  3. Authentication
  4. Requirements
  5. Quick start (Apify Cloud)
  6. Configuration (input)
  7. HTTP API
  8. Cursor IDE
  9. Claude Desktop / other clients
  10. Local development
  11. Project structure
  12. MCP tools (overview)
  13. Limitations
  14. Scripts
  15. License
  16. Changelog

Figma MCP Server (Apify Actor)

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.

Features

  • File analysis — structure, metadata, styles, depth-limited trees
  • Components — list, details, usage
  • Assets — export nodes (PNG, SVG, PDF, JPG)
  • Comments — read and create
  • Projects / teams — listings and metadata
  • MCP resources & prompts for guided workflows

Authentication

Personal Access Token (default)

Recommended for solo use. Set figmaAccessToken in Actor input (or FIGMA_ACCESS_TOKEN in env).

OAuth 2.0 (optional — team / shared files)

Use when you omit figmaAccessToken and provide a Figma OAuth app:

InputPurpose
oauthClientIdFrom Figma → Developers → Apps
oauthClientSecretSame app
oauthRedirectUriExact redirect URL registered on the app, e.g. https://<your-run>.runs.apify.net/oauth/callback
oauthScopesOptional; 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

  1. Start the Actor with OAuth fields filled and no PAT.
  2. Open GET https://<container-url>/oauth/authorize in a browser (normal browser — not an embedded WebView; Figma requirement).
  3. After consent, Figma redirects to /oauth/callback; tokens are stored in the run’s default key-value store (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.

Requirements

  • Node.js ≥ 20
  • Apify account (for cloud)
  • Figma PAT and/or OAuth app

Quick start (Apify Cloud)

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.

Configuration (input)

ParameterTypeDefaultDescription
figmaAccessTokenstring—PAT (recommended). If set, used for all Figma API calls.
portinteger8080HTTP listen port (Apify may override via web_server_port).
oauthClientIdstring—OAuth app client ID (only if not using PAT).
oauthClientSecretstring—OAuth app secret (secret input).
oauthRedirectUristring—Must match Figma app redirect URI exactly.
oauthScopesstring—Optional scope override (comma-separated).
maxConcurrentRequestsinteger10Reserved / future use.
enableCachingbooleantrueCache GET responses from Figma.

Local / CLI input file example (apify run):

{
  "figmaAccessToken": "figd_...",
  "port": 8080
}

HTTP API

MethodPathDescription
GET/Service info and endpoint list
GET/healthLiveness; includes auth_mode: pat \oauth \pending_oauth, figma_authenticated
POST/mcpMCP JSON-RPC 2.0 (primary transport for this server)
GET/oauth/authorizeStart OAuth (browser); disabled if PAT is set
GET/oauth/callbackOAuth redirect handler

Apify MCP path: .actor/actor.json sets webServerMcpPath to /mcp. Your MCP client URL is typically:

https://<container-id>.runs.apify.net/mcp

(Use the Container URL from the run page + /mcp.)

Cursor IDE

  1. Deploy and start the Actor; copy the run Container URL (while status is RUNNING).
  2. Edit ~/.cursor/mcp.json (paths differ on Windows/Linux — see Cursor docs).

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

  • env.APIFY_TOKEN in mcp.json is not passed to this Node process; it does not replace Figma auth. Use figmaAccessToken (or OAuth) in Actor input.
  • Container URLs are per run and stop working when the run ends; update mcp.json and restart Cursor after a new run.
  • If connection fails, use Cursor → Output → MCP and curl https://.../health.

Claude Desktop / other clients

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.

Local development

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":{}}'

Project structure

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

MCP tools (overview)

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.

Limitations

  • REST vs Plugin API — deep design writes may need the Plugin API; this Actor uses REST where supported.
  • Ephemeral Apify URLs — each run has a new base URL unless you use a stable hosting pattern.
  • OAuth — single stored session per run (KV); not multi-user concurrent OAuth in one process.

Scripts

npm run lint
npm run lint:fix
npm run format

License

ISC

Changelog

0.2
  • Optional OAuth 2.0 (Figma authorization code + refresh); PAT remains default when set.
  • /oauth/authorize and /oauth/callback; session persisted in default KV (FIGMA_OAUTH_SESSION).
  • Input: oauthRedirectUri, oauthScopes.
  • Health JSON: auth_mode, figma_authenticated.
0.1 / 0.0.1
  • Initial MCP + Figma REST integration, PAT, long-running server, /mcp JSON-RPC.

References: Apify Actors · Figma REST API · Model Context Protocol

Frequently asked questions

What is Figma MCP Server?

MCP server enabling AI assistants to interact with Figma designs via natural language commands

How do I install Figma MCP Server?

It runs on your machine. In Claude Code: claude mcp add figma-mcp-server -e 'FIGMA_ACCESS_TOKEN=<your figma_access_token>' -- npx -y @oabolade-pegasus/figma-mcp-server@2.1.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Figma MCP Server need an API key?

Yes. It expects FIGMA_ACCESS_TOKEN, which you set in its configuration.

Is Figma MCP Server open source?

Yes. Its code is on GitHub under the ISC license.

Who maintains Figma MCP Server?

It is published by oabolade. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.