How to Use the Autodesk Construction Cloud MCP in Google ADK

Q: Can I use Google ADK to sync Autodesk Construction Cloud assets with BigQuery?

Yes. Your agent can run listassets to gather on-site equipment data and write those records directly into BigQuery using Google Cloud SDKs within the same execution loop.

Feed massive Autodesk Construction Cloud project schemas directly into Google ADK via MCP Server.

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Connect Autodesk Construction Cloud MCP to Google ADK

Create your Vinkius account to connect Autodesk Construction Cloud 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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Setup Autodesk Construction Cloud with Google ADK

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Perplexity

Long-context file and folder analysis

The Autodesk Construction Cloud MCP Server lets Gemini ingest massive construction directories. Your Google ADK agent calls `list_top_folders` and `list_folder_contents` to map entire project structures, holding millions of tokens of file metadata in its active reasoning window. Instead of making dozens of slow API roundtrips, the agent processes complex nested directories in a single reasoning pass. It compares structural file names against live construction issues retrieved via `list_issues` to find missing documentation.

BigQuery cross-referencing for assets

Your Google ADK agent pulls live equipment tracking data from your enterprise BigQuery warehouse and matches it against physical job site assets using `list_assets`. It queries `get_asset_details` to verify serial numbers and maintenance schedules. This links your cloud data warehouse to your physical job site. The agent identifies which physical assets are lagging behind schedule and automatically logs those delays into your Google Cloud logging pipeline.

Enterprise issue management via Google ADK

Manage thousands of active site tickets by letting your agent query `list_issues` and inspect specific blockers with `get_issue_details`. The agent uses Gemini's reasoning capabilities to classify high-priority structural defects. When a critical defect is found, the agent calls `create_issue` to alert the field crew. Because the MCP tools are loaded as an enterprise toolset, the agent coordinates these updates directly alongside your Google Cloud workflows.

Setup guide

Set up Autodesk Construction Cloud 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

Install Google ADK

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

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

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 Autodesk Construction Cloud 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="Autodesk Construction Cloud_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Autodesk Construction Cloud tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Autodesk. 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 Autodesk Construction Cloud MCP in Google ADK

You initialize the server as an HTTP toolset in your Python code. Google ADK passes this toolset to your agent, allowing Gemini to call tools like `list_projects` and extract project details dynamically.

Yes. Your agent can run `list_assets` to gather on-site equipment data and write those records directly into BigQuery using Google Cloud SDKs within the same execution loop.

Use the tool names filter during the toolset initialization. This lets you exclude tools like `create_issue` or `list_hubs`, ensuring your agent only has read-only access to files and assets.

Yes. The server feeds raw directory trees and asset lists directly to Gemini. The model uses its massive token window to analyze thousands of files returned by `list_folder_contents` without hitting context limits.

Vinkius handles authentication via a single endpoint token, eliminating the need to store raw Autodesk credentials in your Google Cloud environment. All tool execution occurs in secure, ephemeral sandboxes.

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