How to Use the Autodesk Construction Cloud MCP in OpenAI Agents SDK

Q: Does this MCP Server support multi-agent handoffs for construction workflows?

Yes. You can set up one agent to find files using listfoldercontents and hand off the context to a specialized agent that manages issues using listissues, keeping responsibilities segregated.

Run safe, production-grade Autodesk Construction Cloud operations using the OpenAI Agents SDK with built-in execution guardrails.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Autodesk Construction Cloud MCP to OpenAI Agents SDK

Create your Vinkius account to connect Autodesk Construction Cloud to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Autodesk Construction Cloud with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Guardrail-backed project inspection via MCP Server

The Autodesk Construction Cloud MCP Server exposes the active project hierarchy directly to your OpenAI Agents SDK setup. Your agent calls `list_projects` and `get_project_details` to verify active job sites, while the SDK's built-in guardrails block unauthorized directory traversal before any tool execution occurs. This setup prevents the model from requesting projects outside its assigned scope. By mapping `list_hubs` to specialized inspector agents, you can pass control safely between teams without exposing sensitive corporate hubs to public-facing runs.

Automated issue creation with tracing

When field reports flag a defect, your OpenAI Agents SDK agent runs `create_issue` to log the problem instantly. The agent gathers context via `get_issue_details` and updates the team, logging every step to your OpenAI dashboard for complete execution tracing. You see the exact prompt, the tool payload, and the response from `list_issues` in your logs. If a field engineer questions why an issue was opened, you have a clean audit trail showing the precise data that triggered the agent's action.

Secure asset tracking and file discovery

Your agent inspects physical job site equipment by pulling live inventories through `list_assets` and checking specific hardware with `get_asset_details`. The agent cross-references these physical items against design files found via `list_top_folders` and `list_folder_contents`. Because the SDK auto-discovers these MCP tools, you don't write manual API glue. Your agent loops through subfolders, flags missing equipment, and logs discrepancies directly within your production-grade pipeline.

Setup guide

Set up Autodesk Construction Cloud MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Autodesk Construction Cloud tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Autodesk Construction Cloud tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Autodesk Construction Cloud tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Autodesk Construction Cloud Agent",
            instructions="You have access to Autodesk Construction Cloud tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Autodesk Construction Cloud now

Real-time monitoring

Live

visibility into every interaction

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.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Autodesk Construction Cloud MCP in OpenAI Agents SDK

Install the SDK with pip, then initialize the Vinkius endpoint using the streamable HTTP server class. Pass this server instance directly to your agent constructor to auto-discover tools like `list_projects` instantly.

Yes. You can restrict tool access at the SDK agent level or configure the Vinkius gateway to only expose specific endpoints like `list_issues` and `create_issue`, ensuring your agent never touches unauthorized tools.

The SDK lets you validate tool payloads before they execute. If your agent attempts to run `create_issue` with malformed project IDs or invalid parameters, the guardrails halt the execution before the API call is made.

Yes. You can set up one agent to find files using `list_folder_contents` and hand off the context to a specialized agent that manages issues using `list_issues`, keeping responsibilities segregated.

Vinkius routes all tool requests through ephemeral V8 Isolate sandboxes. Your Autodesk credentials and issue text are processed in zero-trust, isolated environments that completely self-destruct after execution.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript