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How to Use the BIMobject MCP in Google ADK

Feed real-world BIMobject manufacturer data directly into your long-context Gemini models using the Google ADK.

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Google ADK

Connect BIMobject MCP to Google ADK

Create your Vinkius account to connect BIMobject 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 thousands of building products in Google ADK

Gemini's massive context window shines when you feed it massive datasets. Your agent can run `list_latest_products` and `list_featured_products` to pull hundreds of product profiles into a single prompt. This lets the model compare technical specs across entire categories. Instead of looking at products one by one, your agent evaluates the whole batch to find the best fit for your project.

Connect BIMobject MCP Server to Vertex AI pipelines

This server integrates directly with your Google Cloud workflows. Your agent uses `search_products` to pull real-time marketplace data, which you can then pipe straight into BigQuery for cost analysis. Setting it up takes minutes. By passing the MCP Server to the ADK toolset, your enterprise agents get instant access to live construction data without custom middleware.

Grab technical files for construction models

Your agent can gather construction documents automatically. By invoking `get_product_files` alongside `get_product_details`, the agent extracts Revit, CAD, or PDF spec sheets on demand. The ADK handles these tool responses natively. You get clean paths to the actual files, allowing your pipeline to store them directly in Google Cloud Storage.

Setup guide

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

Install the ADK package and initialize `McpToolset` with your Vinkius HTTP URL. Pass that toolset object into your `LlmAgent` constructor to expose the tools.
Yes, you can. Use the `tool_names` filter parameter in the ADK toolset configuration to expose only specific tools like `search_products`.
It works perfectly with it. The server returns structured JSON from `get_product_details` that Gemini can parse and hold in its long-term memory for complex reasoning.
The agent calls `list_classifications` to find the standard system used on your project. It then uses those system keys to filter down its searches.
This managed MCP Server routes all tool requests through ephemeral, read-only V8 isolates. No search logs or brand metadata are ever written to persistent storage, keeping your market research private.

Start using the BIMobject MCP today

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