How to Use the Autodesk Construction Cloud MCP in AutoGen

Q: How do AutoGen agents coordinate when browsing Autodesk Construction Cloud folders?

One agent can run listtopfolders to find the root directory, while a second agent calls listfoldercontents on specific subfolders. They share findings in the chat thread.

Let your AutoGen agents debate and coordinate complex Autodesk Construction Cloud workflows autonomously.

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Connect Autodesk Construction Cloud MCP to AutoGen

Create your Vinkius account to connect Autodesk Construction Cloud to AutoGen 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 AutoGen

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Perplexity

Consensus-Driven Issue Management

The `create_issue` tool allows your agent group to log verified defects after debating their severity. A quality control agent drafts the issue, while a budget agent analyzes the cost impact before committing the record. This collaborative check ensures that your Autodesk database stays clean. No single agent can post an issue without consensus from the rest of the team.

Multi-Agent Asset Verification via AutoGen MCP Server

The `get_asset_details` tool provides the factual basis for agents negotiating equipment deployment. An operations agent requests the asset details, while a scheduling agent checks if the equipment is ready for installation. By running `list_assets` first, the agents map out what is available on site. They then debate which asset to assign to an open task based on live field data.

Collaborative File Structure Audits

The `list_folder_contents` tool lets your agent cluster inspect project directories to find missing compliance documents. One agent crawls the directory tree while another flags folders that violate naming conventions. Starting from `list_top_folders`, the agents work together to map out the project layout. They compile their findings and present a clean report of missing files.

Setup guide

Set up Autodesk Construction Cloud MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Autodesk Construction Cloud tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Autodesk Construction Cloud_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Autodesk Construction Cloud data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Autodesk Construction Cloud_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Autodesk Construction Cloud data")
    print(result.messages[-1].content)

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.

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Common questions about Autodesk Construction Cloud MCP in AutoGen

You use the extension library to fetch tools from the MCP server URL and pass them to your assistant agent. The schema conversion is handled automatically under the hood.

Yes, you can set up a group chat where agents discuss an issue before invoking `create_issue` over the MCP connection. This prevents duplicate or incorrect records from being written.

One agent can run `list_top_folders` to find the root directory, while a second agent calls `list_folder_contents` on specific subfolders. They share findings in the chat thread.

Yes, the MCP server supports streamable HTTP connections, making it easy to integrate with AutoGen's modern transport layer. You just pass the server URL to your parameters.

Your hub lists and project directories are accessed over encrypted connections and run in isolated V8 sandboxes. Your credentials are never shared with the agents or logged in plaintext by the MCP server.

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