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PatrickPalmer/MayaMCP

by Various

Model Context Protocol (MCP) server implementation for Autodesk Maya

P

MCP

PatrickPalmer/MayaMCP

Added 1 June 2026

Overview

PatrickPalmer/MayaMCP is a Python implementation of the Model Context Protocol (MCP) server for Autodesk Maya. It enables AI agents to send commands and queries to Maya, automating tasks and integrating large language models into 3D pipelines. The server exposes Maya's API through MCP, allowing controlled script execution and scene interrogation.

Best for

Best for
Developers building AI-assisted 3D content creation tools in Autodesk Maya

Use cases

  • Automate repetitive modeling, rigging, or animation tasks via natural language prompts
  • Integrate AI agents into Maya workflows for scene generation or asset manipulation
  • Run custom Python scripts in Maya through an MCP-compatible client

Notes

PatrickPalmer/MayaMCP is a Python implementation of the Model Context Protocol (MCP) server for Autodesk Maya. It enables AI agents to send commands and queries to Maya, automating tasks and integrating large language models into 3D pipelines. The server exposes Maya’s API through MCP, allowing controlled script execution and scene interrogation.

79 stars on GitHub. Last updated 2025-05-12. Licensed MIT.

Use cases

  • Automate repetitive modeling, rigging, or animation tasks via natural language prompts
  • Integrate AI agents into Maya workflows for scene generation or asset manipulation
  • Run custom Python scripts in Maya through an MCP-compatible client

Pros

  • Provides a direct, standardised interface for AI-to-Maya control
  • Open-source Python codebase easy to inspect and extend
  • Lightweight integration requires only Maya and the MCP server

Cons

  • Dependent on Maya’s existing API; complex operations may hit performance limits
  • Requires an external MCP client to send requests, adding setup overhead
  • Small community and limited documentation beyond the repository

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides a direct, standardised interface for AI-to-Maya control
  • Open-source Python codebase easy to inspect and extend
  • Lightweight integration requires only Maya and the MCP server

Cons

  • Dependent on Maya's existing API; complex operations may hit performance limits
  • Requires an external MCP client to send requests, adding setup overhead
  • Small community and limited documentation beyond the repository