"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.

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

Enables OpenAI-compatible clients to send llama-server only the MCP tools relevant to each request, reducing prompt size and cold prefill latency through pluggable selectors such as Laya or BM25 while preserving normal tool calling.