"Autodesk Maya" matching MCP servers:

MCP server for interacting with Autodesk Maya sessions, enabling multi-session management, arbitrary Python execution, and streaming output capture.

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 control of Autodesk Maya using natural language via Claude and the Model Context Protocol, providing tools for modeling, animation, scene management, and RAG-powered documentation search.

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.

A local Model Context Protocol server for controlling Autodesk Maya, providing typed tools for scene, modeling, animation, and more without Maya imports in the server process.

Enables AI clients to query, aggregate, and visually inspect a live Autodesk Revit model, reading it without model-changing transactions by default. Model mutations are opt-in and require two explicit gates, with dry-run previews and verification.

Enables screening of article titles and abstracts against a research question or clinical query using TypeSafe Jev, returning include/maybe/exclude decisions with calibrated probabilities from PubMed searches, PMIDs, or custom records.

Automates ENVI Classic remote sensing experiments on Windows by executing steps, capturing authentic screenshots, and generating formatted Word/PDF lab reports.

Enables validating YAML CAD design-intent files and generating new native parts in FreeCAD or Autodesk Fusion, with capability checks and job status retrieval.

MCP server that lets Claude manage an ISO 19650 / TCVN 14177 Common Data Environment on Autodesk Construction Cloud — projects, CDE folder trees, permissions, files, document status and naming compliance.

Hardened MCP server for Autodesk Revit enabling LLMs to inspect and manipulate Revit models via pyRevit, with token authentication and capability profiles.

Enables typed decisions (choice/score/noul) from Laya-MLX over MCP on Apple Silicon, without text generation.

Enables AI assistants to execute designer-confirmed code and reusable capability packs inside a running Autodesk Revit instance.

Enables local bounded decision-making through MCP using a resident Core ML model, with tools for single decisions, batched decisions, and conservative context filtering.

Enables MCP clients to run fast, local, non-autoregressive System-1 decisions on text, including classification, triage, routing, and safety gating, via six typed tools with probabilistic outputs.

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

MCP server for Autodesk Flow Production Tracking (ShotGrid) enabling AI assistants to query, create, update, and delete entities via the ShotGrid API with built-in RAG anti-hallucination and safety layers.

Enables local Laya-MLX typed decisions (classification, scoring, risk routing, and yes/no) for coding agents like Codex, Claude Code, DeepSeek Harness, and Pi via MCP, running entirely on Apple Silicon Macs.

An MCP server that exposes an open Autodesk Revit model to MCP clients, enabling natural language inspection and editing of the model via Revit API calls through pyRevit Routes.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.