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How to Use the Figma MCP in Google ADK

Feed Figma layouts and tokens directly to Gemini models using Google ADK to bridge design and cloud data.

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Google ADK

Connect Figma MCP to Google ADK

Create your Vinkius account to connect Figma to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Analyze massive layouts with Gemini and Google ADK

Large Figma design files can easily choke standard models, but Google ADK handles them with ease using Gemini's huge context window. This Figma MCP Server lets your Google ADK agent pull entire file structures using `get_file` to evaluate complex UI flows without truncating data. The Google ADK agent processes structural Figma layers alongside your project metadata. It can flag inconsistencies across multiple Figma pages by comparing node hierarchies without losing track of the broader layout context.

Sync design systems with BigQuery pipelines

You can build a Google ADK agent that runs `list_styles` and `list_components` to extract your team's Figma design library. Your Google ADK agent can then write these styles directly into BigQuery to track design system adoption over time. If a component gets updated in Figma, your Google ADK agent detects the shift by checking `get_file_versions`. It updates your Google Cloud data warehouse instantly, keeping your analytics and Figma design system aligned.

Automate design feedback loops

Your Figma MCP Server lets your Google ADK agent read existing canvas feedback using `get_comments` to find unresolved design issues. It can cross-reference these Figma comments with engineering tasks tracked in your Google Cloud environment. Once a task is resolved, your Google ADK agent uses `post_comment` to update the status right on the Figma canvas. This ensures your Google Cloud engineers and Figma designers stay aligned without leaving their native workspaces.

Setup guide

Set up Figma MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Figma tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Figma_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Figma tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Figma. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Figma MCP in Google ADK

You initialize `McpToolset` with the Vinkius server parameters and pass it to your `LlmAgent` tools list. This exposes tools like `get_file` directly to Gemini.
Yes, you can use the tool name filter in Google ADK to restrict exposed MCP tools like `get_file_nodes`. This prevents the agent from running write operations like posting comments.
Because Gemini has a million-token context window, it can ingest the complete JSON payload from `get_file_nodes` without crashing. Your Google ADK agent can reason over highly detailed layer hierarchies in a single run.
You can use `get_local_variables` to retrieve your raw Figma design tokens. The agent can then format this data and write it to Cloud Storage or BigQuery.
All design payloads, including files, styles, and comments, pass through an isolated runtime. No Figma data is stored or used for model training, keeping your intellectual property safe.

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