Description
Model Context Protocol (MCP) is the layer that lets AI agents access Autodesk tools, data, and APIs through a standardized interface. The firms building this infrastructure today will define the standard not just use it. This session will go deep on three production MCP servers: revitDeploymentMCP (CI/CD pipeline as four AI-callable tools), a Dynamo MCP server (exposing Dynamo scripts for AI orchestration), and an Autodesk Platform Services Data Pipeline server (chaining the Model Derivative API, the Data Management API, and the Design Automation API without auth failures or silent webhook drops). Each server is examined at the architecture, implementation, and deployment levels. You'll receive complete implementation patterns for all three.
Key Learnings
- Learn how to build a production MCP server in C# .NET 8 that exposes Revit add-in build and deployment operations as AI-callable tools.
- Learn how to design a Dynamo MCP server in Python that wraps existing scripts as AI-callable tools.
- Learn how to configure an Autodesk Platform Services-connected MCP pipeline sequencing Model Derivative, Data Management, and Design Automation.
- Learn about a server selection framework you can apply to identify the highest-priority Autodesk workflows for MCP.
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