Access Chess.com player data, game records, and other public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.
Run the underlying MCP server directly — without Agent-CoreX routing.
npx -y chess-mcpAgent-CoreX intelligently routes which tools from pab1ito/chess-mcp your AI agent actually needs per request — reducing token usage and cost.
agent-corex.json
{
"mcpServers": {
"chess-mcp": {
"command": "npx",
"args": [
"-y",
"chess-mcp"
]
}
}
}Connect in 2 minutes. Only pay for the tools your agent actually uses.
A collection of reference implementations for the Model Context Protocol (MCP), showcasing its features and SDK usage.
A CLI inspector for the Model Context Protocol that allows running MCP servers and interacting with various tools and resources.
A project related to the Model Context Protocol, potentially involving data processing or context management.
Recommended: intelligent tool routing, lower costs
uvx agent-corex mcp add chess-mcpAgent-CoreX selects only the tools your agent needs, cutting token usage by up to 60%.
Use pab1ito/chess-mcp directly without routing
npx -y chess-mcpNew to Agent-CoreX? View setup guide →