CATIA V5 MCP Server for AI Control

An open-source MCP server to integrate AI and control CATIA V5, enabling new automation and interaction possibilities.

CATIA V5 MCP Server for AI Control

This repository provides an open-source MCP (Message Control Protocol) server designed to integrate artificial intelligence with CATIA V5. By establishing a communication bridge, this tool allows developers to programmatically control CATIA V5 functionalities using AI agents. This opens up significant opportunities for automating complex design processes, developing intelligent assistants for CAD users, and exploring novel interaction paradigms within the CATIA V5 environment.

What it Does

The CATIA V5 MCP Server acts as an intermediary, translating AI commands into actions that CATIA V5 can execute. It exposes CATIA V5's internal APIs through the MCP protocol, enabling external applications, particularly AI agents, to send instructions. These instructions can range from simple commands like opening a file or creating a basic feature to more complex operations involving feature manipulation, parameter modification, and data extraction. The server facilitates a two-way communication flow, allowing AI to not only command CATIA V5 but also receive feedback and data from the software.

Key Features

Open-Source Implementation: Provides full access to the source code for customization and extension.
MCP Protocol Support: Leverages the Message Control Protocol for robust and standardized communication.
CATIA V5 Integration: Directly interfaces with CATIA V5's core functionalities.
AI Agent Compatibility: Designed to be controlled by various AI agents and development frameworks.
Automation Capabilities: Enables scripting and automation of repetitive or complex CAD tasks.
Extensibility: Allows for the development of custom commands and integrations.

Who it's For

This tool is primarily intended for AI developers and CAD engineers who are looking to leverage artificial intelligence within the CATIA V5 ecosystem. It is suitable for individuals and teams engaged in:

Developing AI-powered design automation solutions.
Creating intelligent assistants for CATIA V5 users.
Researching advanced human-computer interaction in CAD.
Building custom tools and workflows that require programmatic control of CATIA V5.
Exploring the integration of machine learning models for design optimization and analysis.