Enables MCP clients to analyze YouTube videos by extracting summaries, timestamped outlines, diagrams with Mermaid code, and targeted insights about specific moments using Gemini's native video understanding.
Exposes the Panda-TAMP planning stack as tools via the Model Context Protocol, enabling natural language-driven goal grounding and closed-loop task and motion planning for a simulated Franka Panda robot.
Enables screening of article titles and abstracts against a research question or clinical query using TypeSafe Jev, returning include/maybe/exclude decisions with calibrated probabilities from PubMed searches, PMIDs, or custom records.
A lightweight, focused Model Context Protocol (MCP) server exposing SHAP model explainability as agent-callable tools with dual stdio/HTTP transports and a built-in Web GUI.