Enables AI agents to precisely retrieve and analyze PDF assets (tables, figures, sections) via MCP, with knowledge graph integration for medical research.
A multi-step academic figure agent harness that enables AI agents to plan, generate, evaluate, and iterate publication-grade figures from sources like PMIDs, preprints, or freeform briefs.
Provides AI-powered medical image analysis tools for LLM agents, enabling tasks such as X-ray classification, interactive segmentation, and visual question answering. It supports multi-step diagnostic reasoning and clinical workflows through a suite of specialized medical AI models.
Enables creation of new mathematical formulas through symbolic derivation, verification, and step-by-step control, leveraging SymPy for computation and storing results with provenance.