"Autodesk Revit" matching MCP servers:

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 assistants to interact with Autodesk Revit through the MCP protocol, enabling the AI to create, modify, and delete elements in Revit projects.

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.

Enables agents to preview, create, and verify shield-tunnel models in Revit 2025, with support for independent segment families and safe batch operations.

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.

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 agents to connect to Revit 2024 via MCP, inspect documents and selections, query and modify elements, and validate, preview, or commit plans with audit logging and rollback.

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.

Enables Claude to control Autodesk Robot Structural Analysis Professional via COM API for modeling, loads, analysis, and results retrieval.

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.

Experimental Node.js server implementing the Model Context Protocol for accessing Autodesk Platform Services API with fine-grained access control using Secure Service Accounts.

Model Context Protocol (MCP) server implementation for Autodesk Maya

Enables AI assistants to control Autodesk Maya through natural language for scene creation, modeling, material assignment, and object manipulation.

MCP server for Autodesk Inventor that provides 32 tools for parametric control of CAD models via COM automation.

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.

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.

Enables AI-powered parametric CAD design in Autodesk Fusion 360 through natural language commands. Supports multiple AI backends (Ollama, OpenAI, Gemini, Claude) with intelligent routing and safety validation for geometric operations.

MCP server to control Autodesk Navisworks Manage 2025 from Claude via natural language, enabling model inspection, property search, selection sets, and clash detection.