How to Use the Builder MCP in Google ADK
Analyze and update massive Builder CMS models with Gemini long-context reasoning using Google ADK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Builder MCP to Google ADK
Create your Vinkius account to connect Builder 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.
Run deep audits on Builder schemas with Google ADK
`list_builder_models` pulls your entire CMS structure directly into the Gemini long-context window. Google ADK processes thousands of fields at once, letting you map your CMS layout against enterprise data warehouses. By combining this schema data with BigQuery analytics, your agent writes highly targeted updates back to your models. You no longer guess which models are active because the agent checks live data first.
Bulk content ingestion via Google ADK MCP Server
`create_visual_block` pushes new layout configurations directly from your Google Cloud data pipelines into Builder. Your Google ADK agent reads product catalogs from Cloud Storage and formats them into visual components. The agent handles high-volume generation by calling `list_model_content` to check for duplicates before writing. This keeps your production layout clean and prevents redundant blocks.
Real-time CMS inventory checks
`count_model_entities` gives your Google ADK agent an instant count of live entries in any model via this MCP tool. This tool lets your Gemini-powered agent monitor content drift across massive enterprise spaces without pulling heavy payloads. When counts mismatch your BigQuery inventory, the agent uses `update_visual_block` to sync the visual layouts. It operates autonomously within your Google Cloud security perimeter.
Set up Builder MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required. - 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 Builder tools in your ADK agent.
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="Builder_agent",
model="gemini-2.0-flash",
instruction="You have access to Builder 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 Builder. 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.
Why Choose Vinkius
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Real-time monitoring
Live
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
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One
place for every integration
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Common questions about Builder MCP in Google ADK
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