MCP-native scientific skills for reproducible computational biology and AI-driven drug-discovery workflows. It combines deterministic scientific tools with an MCP server to give AI agents real computational capabilities.
Enables AI agents to control Fiji/ImageJ for microscopy image analysis through natural language commands, supporting operations like image opening, filtering, particle analysis, and automated workflows.
A Model Context Protocol server that lets you drive PyMOL with natural language, enabling structure loading, analytical views, measurements, and protein exploration through AI assistants.
Enables control of VMD2 for molecular dynamics analysis through natural language, allowing users to load structures, set representations, measure distances, compute RMSD, and render images without Tcl scripting.