Connector guide8-minute read28 MCP tools7 languages

How to Connect Figma to Gemini via MCP

Let your AI read your Figma designs: browse team folders and files, inspect pages, frames and layers, export images, look up components and styles, follow version history, read and post comments, and manage Dev Mode links. With a personal access token.

HCBy HelpCode teamUpdated 8 min read Open-source on GitHub

No credit card · 7-day trial · Self-host alternative available

Figma

Figma

Let your AI read your Figma designs: browse team folders and files, inspect pages, frames and layers, export images, look up components and styles, follow version history, read and post comments, and manage Dev Mode links. With a personal access token.

tools

28

Region

INTL

Category

Productivity

Authentication

API Key

Required env vars

FIGMA_ACCESS_TOKEN
Install in one click on Cloud

7-day free trial · No credit card

  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Open source · AGPL-3.0
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

Skip the install. Get this working in under 2 minutes.

Start a free trial on cloud.anythingmcp.com, add the Figma in one click, then point your AI client (Claude, ChatGPT, Copilot or Cursor) at the generated MCP endpoint. No Docker, no git clone, zero engineering experience required.

Start free trial

Summary

Let your AI read your Figma designs: browse team folders and files, inspect pages, frames and layers, export images, look up components and styles, follow version history, read and post comments, and manage Dev Mode links. With a personal access token.

Try asking

Example prompts for Figma

Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.

Figma · live via MCP
Share
Opus 4.7

Claude is AI and can make mistakes. Please double-check responses.

💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → Figma, paste your credentials, mint an MCP API key and you're done. No Docker, no git clone, no local server.

Figma + Gemini

Let your AI read your Figma designs: browse team folders and files, inspect pages, frames and layers, export images, look up components and styles, follow version history, read and post comments, and manage Dev Mode links. With a personal access token.

Prerequisites

See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:

FIGMA_ACCESS_TOKEN

Step 1 — Get credentials

  1. In Figma, open the account menu (top left in the file browser) → Settings → Security → Personal access tokens → Generate new token.
  2. Name the token (for example "AnythingMCP") and choose an expiry: at most 90 days, as Figma no longer issues tokens that never expire. Set these scopes:
    • current_user:read, file_content:read, file_metadata:read, file_versions:read
    • file_comments:read, file_comments:write
    • library_content:read, library_assets:read, team_library_content:read
    • folders:read
    • file_dev_resources:read, file_dev_resources:write
  3. Click Generate token and copy it right away: Figma shows it only once. It usually starts with figd_.
  4. Paste the token into FIGMA_ACCESS_TOKEN, without the word Bearer, then install the connector.
  5. Start with figma_get_me: it shows which Figma user the token belongs to. Then give the AI a file link: the file key is the part after /design/ in the URL.

Token expiry: tokens last at most 90 days. When yours expires, generate a new one with the same scopes and paste it into FIGMA_ACCESS_TOKEN again. The connector sees exactly the files and teams the token's user can open. Tokens made before Figma renamed projects to folders may only carry projects:read, while the folder tools need folders:read: if they answer 403 naming a scope, generate a new token.

Finding teams and folders: Figma cannot list your teams through its API. Give the AI the link of a team page from the file browser (the team id is the number after /team/); figma_list_team_folders, figma_list_subfolders and figma_list_folder_files then lead to the files.

Permissions and read-only setup: leave out file_comments:write and file_dev_resources:write, and switch off figma_post_comment, figma_delete_comment, figma_add_comment_reaction, figma_create_dev_resource and figma_update_dev_resource. Comments the AI posts appear under the token user's name, and everyone with access to the file can see them.

Switched off at install: figma_delete_dev_resource, which removes a Dev Mode link from a node for everyone. Turn it on only if the AI should delete dev resources.

Rate limits and the Starter plan: Figma limits requests per user and by the plan the file is on. Reading file content, nodes and image renders (figma_get_file, figma_get_file_nodes, figma_render_images) has the tightest limit: 10 to 20 a minute on a paid plan with a Full or Dev seat, but only a handful a month for files on the free Starter plan or with a View or Collab seat. Metadata, comments, versions, components and styles allow far more. Ask the AI to look at single frames rather than whole files; very large answers are cut at 200 KB. Rendered image links stay valid for 30 days.

Dev Mode: dev resources (links to tickets, docs or code attached to a node) need a paid plan and a Full or Dev seat. Without Dev Mode access, Figma answers "File not found" to the dev resource tools, even for a file the other tools read fine. A node holds at most 10 dev resources, each URL once.

Common errors: 401 "Invalid token" means the token is wrong, expired or revoked: generate a new one. 403 means the token lacks a scope (the message names it) or the user has no access to that team or folder. 404 means there is no such file or node, or the user cannot open the file: copy the key from the file's URL. 400 names an invalid parameter, for example a node id with a hyphen instead of a colon (a link's node-id=12-345 is 12:345). 429 is a rate limit: wait and try again. The library tools refuse a branch key: use the main file's key.

The connector does not edit designs, and it does not handle variables, webhooks, FigJam and Slides content beyond the file tree, or library analytics.

Step 2 — Install the adapter

curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d

Step 3 — Add the connector in Gemini

Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide shows YOUR_SERVER_ID.

Gemini CLI reads MCP servers from ~/.gemini/settings.json (on Windows %USERPROFILE%\.gemini\settings.json). Add:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
      "headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
    }
  }
}
  1. Create an MCP API key in AnythingMCP under MCP Servers → your server → API keys, and paste it in place of YOUR_MCP_API_KEY.
  2. Save the file and restart gemini.
  3. Run /mcp inside Gemini CLI (or gemini mcp list in your shell): anythingmcp should show as connected.
  4. Start prompting: Gemini CLI can now call the Figma tools.

Available tools

ToolWhat it does
figma_get_meGet the Figma user the token belongs to: id, handle, email and avatar URL
figma_get_file_metaGet a file's metadata without its content: name, folder name, editor type (figma, figjam, slides ...), creator, last_touched_at and by…
figma_get_fileRead a file's document tree: pages, frames and layers with their ids, names, types, sizes, fills, text and layout, plus the components and…
figma_get_file_nodesRead specific nodes (frames, components, layers) of a file with everything below them: type, name, absolute bounding box, fills, strokes…
figma_render_imagesRender nodes of a file as PNG, JPG, SVG or PDF and get a download URL per node id (null when a node could not be rendered)
figma_get_image_fillsGet download URLs for every image used as a fill in a file, keyed by imageRef (the imageRef in a node's fills)
figma_list_versionsList a file's version history, newest first: id, label and description of named versions, created_at, the user and thumbnail
figma_list_commentsList all comments on a file: id, message, user, created_at, resolved_at, parent_id (for replies), client_meta (where it is pinned: node_id…
figma_post_commentPost a comment on a file as the token's user, optionally pinned to a node or a point, or as a reply to a top-level comment (comment_id)
figma_delete_commentDelete a comment
figma_list_comment_reactionsList the emoji reactions on a comment: emoji, user and created_at
figma_add_comment_reactionReact to a comment with an emoji shortcode, as the token's user; it shows next to the comment
figma_list_team_foldersList the top-level folders (formerly called projects) of a team that the token's user can see: id, name, parent_folder_id (null at the…
figma_list_subfoldersList the folders directly inside a folder (folders can be nested): id, name, parent_folder_id and created_at, plus the parent folder's name
figma_list_folder_filesList the files directly in a folder (not in its subfolders): key, name, thumbnail_url and last_modified, plus the folder's name
figma_list_team_componentsList the published components of a team library: key, name, description, the file and node they live in, thumbnail and who last updated them
figma_list_team_component_setsList the published component sets (components with variants) of a team library: key, name, description, the file and node they live in…
figma_list_team_stylesList the published styles (colors, text, effects, grids) of a team library: key, name, description, the file and node they live in…
figma_list_file_componentsList the published components of a library file: key, name, description, node_id and thumbnail
figma_list_file_component_setsList the published component sets of a library file: key, name, description, node_id and thumbnail
figma_list_file_stylesList the published styles of a library file: key, name, description, node_id and thumbnail
figma_get_componentGet one published component by its key: name, description, the file and node it lives in, its containing frame and component set, thumbnail…
figma_get_component_setGet one published component set (a component with variants) by its key: name, description, file, node and thumbnail
figma_get_styleGet one published style by its key: name, description, style_type (FILL, TEXT, EFFECT, GRID), the file and node it lives in and thumbnail
figma_list_dev_resourcesList the dev resources of a file: links that developers attached to nodes in Dev Mode (tickets, docs, code), each with id, name, url and…
figma_create_dev_resourceAttach a link (a ticket, a doc, a code file) to a node as a dev resource, visible to everyone in Dev Mode
figma_update_dev_resourceChange the name or URL of a dev resource
figma_delete_dev_resourceRemove a dev resource link from a node, for everyone

Example prompts

  • "Show me the pages and main frames of the Checkout redesign file, and who edited it last."
  • "Which comments on the Checkout redesign file are still unresolved, and who wrote them?"
  • "Export the Pricing page frame of the Acme website file as a PNG and give me the link."
  • "Reply to Lena's comment on the Checkout redesign file and tell her the button color has been updated."

FAQ

Where does Gemini CLI look for MCP servers? In ~/.gemini/settings.json for your user, or in .gemini/settings.json inside a project. gemini mcp list shows each server and whether it connects.

Next steps

Was this guide helpful?

Your Figma agent is one click away.

Install the connector, paste the key, prompt Gemini. Free for 7 days, no credit card.

Related guides

Connectors

How to Connect Figma to ChatGPT via MCP

Let your AI read your Figma designs: browse team folders and files, inspect pages, frames and layers, export images, look up components and styles, follow version history, read and post comments, and manage Dev Mode links. With a personal access token.

Connectors

How to Connect Figma to Claude via MCP

Let your AI read your Figma designs: browse team folders and files, inspect pages, frames and layers, export images, look up components and styles, follow version history, read and post comments, and manage Dev Mode links. With a personal access token.

Connectors

How to Connect Figma to Cursor via MCP

Let your AI read your Figma designs: browse team folders and files, inspect pages, frames and layers, export images, look up components and styles, follow version history, read and post comments, and manage Dev Mode links. With a personal access token.

Connectors

How to Connect Figma to Meta Muse via MCP

Let your AI read your Figma designs: browse team folders and files, inspect pages, frames and layers, export images, look up components and styles, follow version history, read and post comments, and manage Dev Mode links. With a personal access token.

Connectors

Figma to MCP: Drive Figma from any AI Agent

Let your AI read your Figma designs: browse team folders and files, inspect pages, frames and layers, export images, look up components and styles, follow version history, read and post comments, and manage Dev Mode links. With a personal access token.

Connectors

How to Connect Canva to Gemini via MCP

Let your AI work in Canva: find and read designs, create new ones, export them to PDF, PNG, PowerPoint or video with download links, organise folders, upload images from a link, read brand templates and comment on designs.