Design

Figma MCP server

Give AI agents governed access to the Figma MCP server through one audited gateway. Scoped permissions, full observability, and tamper-evident logs on every tool call.

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What is the Figma MCP server?

The Figma MCP server is an open Model Context Protocol (MCP) server that connects AI agents to Figma design files, components, and comments. Through it an agent can read file structure, pull component data, and export assets without bespoke integration code, while the Averta MCP Gateway keeps every action scoped and audited.

figma-get-file

Read a file's document tree.

figma-get-node

Read a specific node and its properties.

figma-list-components

List components and variants in a file.

figma-get-comments

Read comments on a file.

figma-post-comment

Add a comment to a file or node.

figma-get-styles

Read color, text, and effect styles.

figma-export-image

Export a node as an image asset.

figma-get-team-projects

List a team's projects and files.

figma-get-version-history

Read a file's version history.

figma-get-file-nodes

Read multiple nodes in one request.

Why the Averta MCP Gateway

Centralized governance

Unified authentication, audit logging, and rate control for every Figma MCP connection.

Observability and control

Real-time visibility into usage, anomalies, and SLA compliance across every request.

One-click deployment

Enable the Figma MCP server for your AI teams through one governed gateway, with no manual setup.

Enterprise hardening

High availability, security, and compliance alignment turn MCP from a developer utility into production-grade infrastructure.

OAuth and SSO enforcement

Enterprise authentication and SSO applied automatically to every Figma endpoint.

Shared and per-user auth

Configure service accounts or per-user access, with secrets protected and centralized revocation.

One managed endpoint

Connect agents to Figma through a single governed endpoint instead of locally run servers, improving your security posture.

Granular tool access control

Allow only the tools each role needs. Enable read-only access and block write tools like create and delete.

Works with every major AI platform

ChatGPT

Gemini

Mistral

Claude Code

Cursor

Windsurf

Cognition

OpenCode

Continue

Manus

Hermes

Lindy

OpenClaw

Your own

Built for enterprise teams.

Cloud, private VPC, embedded SDK, or gateway integration. Run Averta where your data, policies, and auditors need it.

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Cloud (SaaS)

Fully managed by Averta. Fastest path to production, no infrastructure to run.

Private / VPC

Deploy in your own environment, so data never leaves your boundary.

Embedded SDK & Proxy

Drop Averta into your stack at the SDK or proxy layer, wherever your agents run.

Gateway Integration

Route agent traffic through the gateway, so policy and audit apply at the edge.

Figma MCP use cases

Where teams put the Figma MCP server to work, governed end to end through the Averta MCP Gateway.

Agents read components and specs to support engineering handoff, read-only.

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Figma MCP · Design handoff

List the components used in this screen.

You

Listed the components and variants.

Reading the file tree
Collecting components

All actions logged and governed

Powering safe AI execution at leading teams.

Cyfrin secures its production AI agents with Averta.

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“Averta gave our agents enforceable boundaries for the dev environment, so instructions like ‘don’t read .env files’ became policy instead of polite suggestions.”

Mikhail Karan

Head of Engineering

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Figma MCP server, answered

Security and setup questions teams ask before connecting the Figma MCP server to AI agents.

Have a different question? Talk to us →

Yes. The Averta MCP Gateway sits between your AI agents and any MCP server, giving each agent scoped, per-agent permissions, applying allow, escalate, or block policies on every tool call, and recording a tamper-evident audit of every action. The “Why the Averta MCP Gateway” section on this page covers what it enforces.

It is as safe as the controls around it. The server can read design files and post comments through one token, so scoping and auditing matter. The Averta MCP Gateway limits which files an agent can reach and records every action.

By default it can read the files, components, and comments the token is granted, plus post comments and export assets. Restricting it to read-only or specific projects is a governance decision.

Route agents through Averta's MCP Gateway for scoped per-agent permissions, tool-level policy, and tamper-evident audit across every Figma action.

Yes. Figma offers an official Dev Mode MCP server, and community servers like figma-developer-mcp exist too. Whichever you run, routing it through the Averta MCP Gateway gives each agent scoped, read-first file access with a tamper-evident audit trail.

Any MCP-compatible client, including Claude Code and Cursor, can connect to the Figma MCP server. Pointing those clients at the Averta MCP Gateway instead of the raw server adds scoped permissions, approval policies, and a tamper-evident log without changing the client setup.

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Book a demo and see how Averta OS secures your AI agents from input to execution.

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