Custom MCP server that lets AI control Autodesk Maya 2022+ directly, using code execution and self-discovery rather than hundreds of predefined tools. Includes structured tools for Unreal Engine asset preparation, validation, and FBX export.
Enables AI agents to drive Autodesk Maya through semantic tools covering scene, object, material, animation, and rendering operations, paired with execute_python/execute_mel escape hatches and read-only resources. Also supports multi-instance routing, viewport capture for visual iteration, and asynchronous render job polling.
Enables AI assistants to discover and route commands to running Autodesk desktop applications through a dynamic local registry, avoiding port conflicts and static reconfiguration.
Enables AI assistants to connect to and control Autodesk Maya for 3D modeling, animation, and rendering operations through the Model Context Protocol, supporting object creation, transformation, scene queries, and Python command execution.
Enables natural language control of Autodesk Maya through MCP, including scene queries, Python/MEL execution, viewport screenshots, tool invocation, and customizable body rigging.
Enables AI assistants to programmatically control Autodesk Maya via natural language using over 30 tools for 3D modeling, lighting, and animation. It connects through Maya's command port to facilitate procedural scene generation and complex production-ready workflows.
Enables AI assistants to write and execute C# code directly inside Autodesk Civil 3D, using read-only and write tools plus reusable skill templates for drawing and civil object tasks.
Enables AI assistants to interact with Autodesk Civil 3D, allowing them to retrieve project data, create/modify/delete drawing elements, and execute code to automate Civil 3D operations.
An MCP server that exposes Autodesk Platform Services (APS) as tools for AI assistants to interact with the APS Data Management API. It enables users to authenticate and manage hubs, projects, and folders through a standardized interface.
A Python package that enables integration with Autodesk Revit through the Model Context Protocol, allowing users to send commands to Revit and automate interactions with building models.
Allows AI to interact with Autodesk Revit via the MCP protocol, enabling retrieval of project data and automation of tasks like creating, modifying, and deleting elements.
Bridges AI assistants to Autodesk RV for managing media review sessions through natural language commands. Users can control playback, compare shots, and adjust color grading without needing any external plugins.
Allows AI assistants to interact with Autodesk Revit through the MCP protocol, enabling the AI to create, modify, and delete elements in Revit projects.
Experimental Node.js server implementing the Model Context Protocol for accessing Autodesk Platform Services API with fine-grained access control using Secure Service Accounts.
Enables natural-language querying, editing, and drawing production for Autodesk Revit models through an MCP client, via a bundled C# bridge add-in running inside Revit.
A Model Context Protocol server that enables AI assistants to interact with active Autodesk Maya sessions using the maya.cmds API. It allows users to manage scene objects, control selections, and perform common 3D operations through natural language.