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by AdemolaAri • Uncategorized
An MCP server exposing a SQLite tennis database for dynamic querying by LLMs.
Retrieve player statistics such as total matches, wins, and win percentage.
Access head-to-head match history between two tennis players.
Analyze player performance by court surface or get tournament draw details.
This MCP server provides a practical example of how to expose a tennis database as a set of tools that large language models can use to query player statistics, match histories, tournament results, and detailed match statistics dynamically. It enables AI systems to generate and execute SQL queries based on natural language questions, enhancing tennis analytics and commentary. The server is implemented in Python and demonstrates flexible querying capabilities through well-defined tool interfaces.