Chess

by alexandreroman

6 Not rated yet Apache-2.0

GitHub

About

Integrates with Spring AI and chess libraries to enable interactive gameplay and automated analysis for AI-assisted chess applications.

Details

Repository: alexandreroman/mcp-chess
License: Apache-2.0

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Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Chess

Command (node, npx, python, etc.) /path/to/mcp-chess-binary

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

JSON

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "chess": {
            "cwd": "",
            "env": {},
            "args": [],
            "shell": false,
            "command": "/path/to/mcp-chess-binary"
        }
    }
}

Linux

{
    "cwd": "",
    "env": [],
    "args": [],
    "shell": false,
    "command": "/path/to/mcp-chess-binary"
}

Macos

{
    "cwd": "",
    "env": [],
    "args": [],
    "shell": false,
    "command": "/path/to/mcp-chess-binary"
}

Windows

{
    "cwd": "",
    "env": [],
    "args": [],
    "shell": false,
    "command": "/path/to/mcp-chess-binary"
}

MCP Chess

A Model Context Protocol (MCP) server that provides
chess functionality for Claude AI Assistant.

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Details

Explore

Setting up with Highlight

Claude Desktop / Cursor

Linux

Macos

Windows

MCP Chess

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