Rosetta + Cursor: Simplifying Protein Design with AI Assistance 

The Rosetta MCP Server project, created by Ariel J. Ben-Sasson, is a powerful tool that will make it easier to use Rosetta, RosettaScripts, and PyRosetta in your protein design projects. It allows tools like Cursor – an AI-powered coding assistant that integrates with common code editors – to directly interact with the Rosetta/PyRosetta software to streamline everything from installation to writing scripts. 

What is an MCP?

MCP stands for Model Context Protocol, which is a way for software programs to communicate with each other. It allows clients, like Cursor, to request computations, report results, and interact with the Rosetta software, without the user needing to manage the underlying software environment. 

Key Features:

• Run RosettaScripts from MCP clients: Execute complex protocols directly through your coding assistant.
• Generate and validate RosettaScripts protocols: Simplify the creation and debugging of scripts.
• Easily access Rosetta documentation: Quickly retrieve relevant information without leaving your coding environment.
• Utilize PyRosetta tools: Take advantage of Python’s flexibility for protein modeling.
• Automatic installation of PyRosetta: Set up your environment effortlessly.
• Translate RosettaScripts to PyRosetta code: Convert scripts to Python with minimal effort.

By integrating Rosetta with tools like Cursor, the MCP Server lowers the learning curve, making Rosetta and PyRosetta more accessible to new users while boosting productivity for experienced researchers.
For more information, such as installation and usage examples, visit the repository on GitHub