Sports
Facilitates querying large sports-themed question answering datasets via the Model Context Protocol.
Acerca de
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.
Características Principales
- Enables natural language querying of sports information
- Includes a quickstarter example for weather data
- 1 GitHub stars
- Provides an MCP server for sports data access
- Offers seamless integration with MCP Hosts like Claude AI
- Accesses the QASports dataset (1M+ questions & answers)
Casos de Uso
- Integrating sports data context into AI models and applications
- Querying extensive sports knowledge bases using natural language
- Learning and experimenting with the Model Context Protocol
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