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Bridges Shogi AI engines with HTTP API and Model Context Protocol for integration with AI agents.

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This project wraps native Shogi AI engine binaries, exposing them via an HTTP API bridge for position analysis and as a Model Context Protocol (MCP) server. It specifically aims to integrate Large Language Models (LLMs) with USI-format Shogi AI, allowing LLMs to provide explanations for Shogi moves and serving as a sample program for such advanced AI integrations.

API Development
Developer Tools
Data Science & ML

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