Description
Dynamo is evolving from manual graph authoring to intent-driven co-creation. In this session, you'll see how Autodesk Assistant can drive Dynamo through the Dynamo Model Context Protocol (MCP) server to create, modify, and run graphs using natural language while keeping results deterministic, inspectable, and shareable. We'll walk through real examples: generating a graph from a workflow description, refactoring an existing graph, and validating outputs. You'll learn where MCP fits in the Dynamo stack, what makes tool-based AI safer than free-form code generation, and which patterns keep AI-assisted automation maintainable across teams.
Key Learnings
- Learn what Dynamo MCP is and how a tool-based AI workflow differs from “prompt-to-code.â€
- Learn how to generate or refactor a Dynamo graph while keeping it inspectable and versionable.
- Learn about reliability/safety patterns, including constrained tool catalogs, validation checks, and human-in-the-loop review points.
- Learn adoption patterns you can apply for teams, such as when to use AI-assisted authoring versus traditional graph building, and how to share outcomes.
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