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In this stream our goal is to upgrade the chess analysis tool powered by MCP we started working on in our previous stream by adding more analysis endpoints and also add a GUI for our application using Next.js (or React.js). We will explore various features we can add to this tool to fulfill this requirement. This is gonna be a full-stack project including a frontend and a backend that utilizes an LLM and an MCP server to help analyze any chess game and give coach style personalized answers based on game history. It will provide move on move analysis as well as a chat interface to communicate better regarding your chess games. Expect hands‑on coding, clean architecture, and production‑readiness tips for building an analyzer that ingests games, runs engine analysis, and generates actionable feedback. Keywords: chess analysis, chess engine, Stockfish, UCI, PGN, FEN, python‑chess, MCP, Python live coding, chess tooling, AI chess analyzer, AI Chess Coach, JS, React, Next.js