"author:u9401066" matching MCP servers:

Enables AI agents to perform structured root cause analysis from clinical incidents and construct learner-ready lesson plans for medical education.

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.

An intelligent research assistant MCP server for AI agents, providing task-oriented literature search and analysis across multiple academic databases.

Enables creation of new mathematical formulas through symbolic derivation, verification, and step-by-step control, leveraging SymPy for computation and storing results with provenance.

Provides validated clinical scoring tools for AI agents via MCP, with evidence-based calculators and smart tool discovery.

Enables medication reference workflows including drug search, dosing calculations, Taiwan regulatory lookups, hospital prescription helpers, and educational PK/DDI simulation.

Enables AI agents to precisely retrieve and analyze PDF assets (tables, figures, sections) via MCP, with knowledge graph integration for medical research.

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.