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How to Use the Framer MCP in Google ADK

Feed BigQuery data to Gemini and update your Framer CMS instantly using the google-adk framework and our MCP Server.

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Google ADK

Connect Framer MCP to Google ADK

Create your Vinkius account to connect Framer 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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Move enterprise data straight to Framer CMS

With this MCP Server, your Gemini agent pulls raw rows from BigQuery and runs `create_collection_item` to update your site. The agent queries your live layout using `list_collections` to match the data schema perfectly. The google-adk framework lets you limit exposure by passing a specific tool list to McpToolset. This ensures your agent only edits content and cannot accidentally trigger a site-wide change.

Run site-wide audits using Gemini's massive context

Gemini's million-token window is perfect for analyzing entire sites using `list_pages` and `get_site_info`. The agent processes thousands of items without hitting context limits. By analyzing the output of `list_collection_items` alongside your design layout, the agent identifies broken links or outdated copy. It then presents a clean list of recommendations based on actual production data.

Control live deployment via Google ADK MCP Server

Tie your production builds directly to your design work by checking workspace status with `get_project`. The agent deploys updates instantly using the `publish_site` tool. Using the google-adk, you define this pipeline in standard Python, passing the toolset to your LlmAgent. Project discovery via `list_projects` kicks off the workflow before final live deployment occurs.

Setup guide

Set up Framer 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 Framer 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="Framer_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Framer 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 Framer. 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 Framer MCP in Google ADK

Install google-adk and instantiate McpToolset with your Vinkius HTTP endpoint. Pass this toolset directly into the tools parameter of your LlmAgent.
Yes, you can use the tool_names filter in McpToolset to expose only safe tools like list_collection_items while blocking write tools.
Gemini's long-context window easily ingests the entire JSON payload returned by list_collection_items. The agent processes thousands of items without hitting context limits.
Vinkius hosts the MCP Server for you, so your Cloud Run or Vertex instances just need to connect to the provided HTTP endpoint.
Project metadata retrieved via list_projects is processed in memory inside an ephemeral V8 sandbox. No design files, tokens, or CMS structures are ever persisted on our servers.

Start using the Framer MCP today

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