Sports

Name: Sports
Author: leomaurodesenv

byleomaurodesenv

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Learning & Documentation

Data Science & ML

Developer Tools

Facilitates querying large sports-themed question answering datasets via the Model Context Protocol.

This learning repository serves as a Model Context Protocol (MCP) server designed to access and query the QASports dataset. QASports is an extensive collection featuring over 1 million sports-related questions and answers, derived from 124k preprocessed wiki pages spanning 20 popular sports. The tool allows users to interact with this vast dataset through natural language queries, providing a standardized way for AI applications to retrieve specific sports data and context.

Key Features

01Enables natural language querying of sports information

02Includes a quickstarter example for weather data

031 GitHub stars

04Provides an MCP server for sports data access

05Offers seamless integration with MCP Hosts like Claude AI

06Accesses the QASports dataset (1M+ questions & answers)

Use Cases

01Integrating sports data context into AI models and applications

02Querying extensive sports knowledge bases using natural language

03Learning and experimenting with the Model Context Protocol