Allows AI assistants to interact with Autodesk Construction Cloud projects through natural language, enabling querying of project data, browsing files, and analyzing issues via APS APIs.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@ACC AI MCP show me open issues in project Alpha"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Enables AI assistants like GitHub Copilot, Claude, and Cursor to interact with Autodesk Construction Cloud projects through natural language. Connects AI workflows with APS APIs to query project data, browse files, and analyze issues directly from development environments.
The Model Context Protocol (MCP) creates a standardized way for AI assistants to access external data sources:
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ VS Code + │ MCP │ aps-mcp-server │ APS │ Autodesk ACC │
│ GitHub Copilot │ ◄─────► │ (Node.js) │ ◄─────► │ Projects │
└─────────────────┘ stdio └──────────────────┘ API └─────────────────┘AI Client (VS Code/Claude/Cursor) sends natural language queries
MCP Server translates queries into APS API calls using Secure Service Account credentials
APS APIs fetch data from your ACC projects
MCP Server returns structured data to the AI client
AI Client formats and presents the information to you
This server cannot be deployed
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