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How to Use the Duda MCP in Google ADK

Deploy enterprise Gemini agents with Google ADK to query Duda site data alongside BigQuery.

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Google ADK

Connect Duda MCP to Google ADK

Create your Vinkius account to connect Duda 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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Sync Duda site audits with BigQuery using Google ADK

Your Google ADK agent executes `quick_site_health_audit` to feed Duda health diagnostics directly into BigQuery. This allows Gemini to analyze Duda performance trends over time. This MCP Server streams Duda metadata directly into the Gemini long-context window. Gemini then correlates Duda uptime with your Google Cloud analytics.

Search and map Duda domains via Google ADK

Use the Google ADK to run `search_sites_by_domain` and map Duda properties to your Google Cloud inventory. This allows Gemini to identify unregistered Duda domains automatically. Once identified, the Gemini agent triggers `get_site_details` to verify Duda configuration settings. This automates Duda inventory tracking within your Google enterprise pipeline.

Analyze Duda template structures inside Vertex AI

Your Gemini agent calls `list_site_templates` to evaluate Duda design layouts. This helps your Google ADK agent recommend top-performing Duda templates using the MCP Server. By calling `get_template_details`, the Google ADK agent analyzes Duda schema variations. This bridges the gap between Duda designs and Vertex AI machine learning models.

Setup guide

Set up Duda 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 Duda 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="Duda_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Duda tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Duda MCP in Google ADK

Use the `tool_names` filter in your Google ADK configuration to limit access to specific Duda tools. This restricts Gemini to harmless queries like `list_published_websites`.
Yes, your Gemini agent queries `get_client_account_profile` to audit Duda access levels. This ensures your Google ADK workflows respect existing Duda agency permissions.
The Gemini agent executes `list_site_collections` to extract Duda schema layouts. You can then pipe these Duda collections straight into Google BigQuery.
The Gemini agent calls `list_duda_sites` to retrieve your entire Duda site registry. This returns a clean list of Duda identifiers to your Google ADK script.
Yes, all Duda template configurations and collection schemas are processed via TLS directly to Gemini. The V8 sandbox ensures no Duda data is cached on Vinkius.

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