Autom8Labs has introduced 22 free Model Context Protocol (MCP) Skills designed to help AI agents perform specialized tasks across architecture, engineering, and construction (AEC) software. The release aims to bridge the gap between giving AI agents access to design applications and teaching them to execute professional workflows correctly, tells AEC Magazine.
The new skills work alongside Autom8Labs’ MCP Connectors, which provide AI agents with access to Revit, AutoCAD, Navisworks, Grasshopper, MicroStation, 3ds Max, Rhino, Civil 3D, and Advance Steel. While connectors enable interaction with these applications, MCP Skills provide structured instructions for completing tasks and verifying results.
According to Autom8Labs, access to design software alone does not guarantee that an AI agent understands established engineering practices. The skills address this limitation by guiding agents through procedures similar to those followed by experienced AEC professionals.
Most of the 22 skills focus on Autodesk Revit, covering family creation, scan-to-BIM workflows, model health assessments, structural engineering, mechanical, electrical, and plumbing (MEP) systems, coordination, site management, and document control. These capabilities are intended to help AI agents approach complex BIM tasks systematically.
For computational design, a Grasshopper skill guides AI agents in developing parametric definitions using methods familiar to experienced computational designers. Meanwhile, 3ds Max skills support visualization workflows by helping agents configure Corona and V-Ray rendering environments according to professional practices.
Autom8Labs also offers custom skill development for AEC firms. These tailored solutions can incorporate company-specific templates, design standards, and approval procedures, allowing organizations to align AI-assisted workflows with their established requirements.
The release highlights an important development in AEC automation: AI agents need more than software connectivity to become useful engineering assistants. By combining application access with procedural knowledge and verification steps, Autom8Labs aims to make AI-driven design workflows more consistent, accountable, and aligned with professional expectations.
