Chess

About

The Chess MCP Server enables Large Language Models (LLMs) and other AI agents to play chess agentically. Beyond a simple API, it integrates directly with MCP clients, offering interactive HTML board visualizations within chat interfaces, understanding spatial relationships via Markdown, and providing a versatile hybrid AI engine with adjustable difficulty levels. Developers and users can facilitate games between humans and AI, or even two AI personalities, all while monitoring active sessions through a dedicated local web dashboard.

Key Features

• Provides a comprehensive tools API for game management
• Interactive HTML board support within MCP clients
• Facilitates Agent vs. Agent chess battles
• Hybrid AI engine with 10 adjustable difficulty levels
• 0 GitHub stars
• Local web dashboard for real-time game monitoring

Use Cases

• Allowing AI agents (like LLMs) to play chess against a computer or a human.
• Setting up and observing chess games between two distinct AI personalities.
• Developing and testing AI chess agents within a standardized protocol environment.