How to Use the Autodesk Construction Cloud MCP in CrewAI

Q: How do I connect CrewAI to Autodesk Construction Cloud?

Install crewaitools. Add your Vinkius endpoint URL directly to the mcps array in your Agent definition. The framework automatically parses the available tools and assigns them to the agent.

Q: How do I restrict which Autodesk Construction Cloud tools a CrewAI agent can use?

Use MCPServerHTTP from crewai.mcp instead of the simple URL array. Pass a toolfilter to expose only safe read tools to your monitoring agents. Give write tools only to your moderator agents.

Deploy multi-agent CrewAI teams to monitor, audit, and update your Autodesk Construction Cloud projects autonomously.

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Connect Autodesk Construction Cloud MCP to CrewAI

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

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Perplexity

Multi-Agent Punch List Management

The `list_issues` and `get_issue_details` tools give your inspector agent direct read access to site defects. This agent constantly polls the project to find unresolved tickets. A separate moderator agent reviews the inspector's findings and decides if escalation is necessary. If a contractor is falling behind, the moderator uses `create_issue` to generate a formal warning ticket.

CrewAI MCP Server Operations

You assign the `list_assets` and `get_asset_details` tools to a specialized logistics agent. This agent builds a complete memory map of HVAC units, structural steel, and heavy machinery on the site. The logistics agent passes this data to a reporting agent. The team works sequentially to compare the installed equipment against the master schedule without any human intervention.

Autonomous File Discovery

A researcher agent uses `list_hubs`, `list_projects`, and `list_top_folders` to map the entire corporate directory. It navigates the folder tree autonomously to locate specific architectural revisions. Once it finds the target directory, the agent runs `list_folder_contents` to extract the file metadata. The crew shares this context in memory so other agents know exactly where the latest blueprints live.

Setup guide

Set up Autodesk Construction Cloud MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Autodesk Construction Cloud tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Autodesk Construction Cloud Analyst",
    goal="Access and analyze Autodesk Construction Cloud data via MCP.",
    backstory="Expert analyst with direct Autodesk Construction Cloud access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Autodesk Construction Cloud transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Autodesk Construction Cloud Analyst",
        goal="Access and analyze Autodesk Construction Cloud data via MCP.",
        backstory="Expert analyst with direct Autodesk Construction Cloud access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Autodesk Construction Cloud transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Install `crewai[tools]`. Add your Vinkius endpoint URL directly to the `mcps` array in your Agent definition. The framework automatically parses the available tools and assigns them to the agent.

The agent uses specific tools to navigate the structure. It starts with `list_top_folders` and drills down using `list_folder_contents`. You must assign these tools to a specific researcher role.

Use `MCPServerHTTP` from `crewai.mcp` instead of the simple URL array. Pass a `tool_filter` to expose only safe read tools to your monitoring agents. Give write tools only to your moderator agents.

Yes, through the server's write capabilities. An agent with access to `create_issue` can generate new tickets based on its analysis. You dictate the rules for when it takes this action.

We secure your connection at the infrastructure level. The Vinkius managed proxy handles the authentication and routes requests through isolated, single-use V8 sandboxes. Your site plans and issue logs are never stored or logged by our systems.

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