Developer Builds Typed MCP Server to Query Basketball Player Stats via Sportmicro

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A developer has built a lightweight MCP (Model Context Protocol) server that allows AI clients to query basketball player data sourced from the Sportmicro API. The project, written in TypeScript, uses the MCP SDK and Zod schema validation to ensure that only documented, verified player statistics are returned to clients. A core design principle is the explicit separation of available facts from missing or undocumented statistics, preventing AI agents from fabricating data. The server is intentionally narrow in scope, functioning as a typed bridge between MCP clients and the Sportmicro data source rather than a full-featured basketball analytics platform. The repository has been made public and is described as a practical research tool for AI agents working with sports data.

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