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How to Use the Autodesk Construction Cloud MCP in Mastra AI

Build complex site management workflows in Mastra AI using live Autodesk Construction Cloud data.

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Connect Autodesk Construction Cloud MCP to Mastra AI

Create your Vinkius account to connect Autodesk Construction Cloud to Mastra AI 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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Build Resilient Issue Workflows

The `list_issues` tool feeds raw defect data into your Mastra AI workflow engine. Your agent evaluates the priority levels and decides how to route the tickets. If a critical structural problem appears, the agent triggers `get_issue_details` to pull the full context. You set up automatic retries so API limits never break the automation during heavy sync periods.

Mastra AI MCP Server Integration

Your workflow calls `list_hubs` and `list_projects` to map out the current construction portfolio. The agent stores this hierarchy in memory to navigate the site structure. Conditional branches tell the agent to run `list_top_folders` only when a project reaches the active phase. It then uses `list_folder_contents` to verify that all required blueprint files exist before moving to the next step.

Programmatic Asset Audits

The `list_assets` tool pulls the complete inventory of physical equipment installed on site. Your agent loops through this list to check installation statuses against the schedule. When a discrepancy occurs, the workflow executes `get_asset_details` and automatically logs a ticket via `create_issue`. You can require human approval in Mastra before that write operation executes.

Setup guide

Set up Autodesk Construction Cloud MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Autodesk Construction Cloud tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "autodesk-construction-cloud-mcp-client",
  servers: {
    "autodesk-construction-cloud-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Autodesk Construction Cloud Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Autodesk Construction Cloud tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Autodesk Construction Cloud transactions"
);
console.log(result.text);

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 Mastra AI

Install `@mastra/mcp@latest`. Create a new `MCPClient` instance and pass your Vinkius server URL. Spread the results of `listTools()` directly into your agent's tool array.
The server exposes a specific tool for this. Your workflow can call `create_issue` when certain conditions are met. You control exactly when and how the agent writes data back to the project.
Mastra handles the failure gracefully. You configure exponential backoff on the tool call. The agent will retry the request without dropping the workflow context.
First, your agent fetches the root using `list_top_folders`. It then conditionally iterates through the results using `list_folder_contents` to find specific documents.
Every tool execution runs in a zero-trust environment. Your proprietary asset inventories and project hierarchies never touch a shared database. The Vinkius sandbox executes the request and immediately terminates.

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