How do I obtain my Figma Personal Access Token?

Log in to Figma, click on your name in the top-left to go to **Account Settings**, scroll down to the **Personal access tokens** section, and click **Create a new personal access token**.

Where can I find the File Key?

Open any Figma file in your browser. The URL will look like `https://www.figma.com/file/:key/:title`. The random string of characters after `/file/` is your File Key.

Can I render design layers as images via chat?

Yes! The `get_images` tool allows you to specify a File Key and Node IDs to receive high-quality render URLs in PNG, SVG, or PDF formats flawlessy.

Figma MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Figma
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Figma through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Figma "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Figma?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Figma MCP Server

Figma is the leading collaborative interface design tool. This MCP server allows your AI agent to interact with your Figma files, projects, and teams flawlessly.

Pydantic AI validates every Figma tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

Key Features

File & Node Inspection — Retrieve the full document tree or specific layers to analyze design structures flawlessly.
Image Rendering — Render Figma frames, components, or layers into PNG, SVG, or PDF images flawlessly native.
Team & Project Orchestration — List team projects and project files to navigate your design workspace flawlessly.
Design Token Access — Extract published components, styles, and local variables to sync with codebases flawlessly.
Collaboration Tools — Read and post comments directly on design files to keep feedback loops active synchronously.
Version History — Access file version history to track design evolutions flawlessy through the agent.

The Figma MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Figma to Pydantic AI via MCP

Follow these steps to integrate the Figma MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Figma with type-safe schemas

Why Use Pydantic AI with the Figma MCP Server

Pydantic AI provides unique advantages when paired with Figma through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Figma integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Figma connection logic from agent behavior for testable, maintainable code

Figma + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Figma MCP Server delivers measurable value.

Type-safe data pipelines: query Figma with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Figma tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Figma and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Figma responses and write comprehensive agent tests

Figma MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Figma to Pydantic AI via MCP:

get_comments

Get comments on a Figma file

get_file

Use depth to limit node traversal (1=pages only, 2=pages+top frames). Get a Figma file

get_file_nodes

Get specific nodes from a Figma file

get_file_versions

List versions of a Figma file

get_images

Render nodes from a Figma file as images

get_local_variables

List design tokens/variables in a Figma file

get_me

Get details for the authorized Figma user

list_components

List published team components

list_project_files

List files in a project

list_styles

List published team styles

list_team_projects

List projects in a Figma team

post_comment

Example Prompts for Figma in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Figma immediately.

"List all projects in my Figma team ID 123456."

"Get the document tree for file key abcDEF123."

"Render nodes 1:2 and 1:5 as PNG images."

Troubleshooting Figma MCP Server with Pydantic AI

Common issues when connecting Figma to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Figma + Pydantic AI FAQ

Common questions about integrating Figma MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Figma MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.