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Cricket Prediction
Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.
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This is a sample Model Context Protocol (MCP) server crafted with Python, showcasing how applications can provide contextual data and operational tools to large language models (LLMs) and other MCP-compliant clients. It offers practical examples of defining and exposing custom functionalities, such as predicting cricket match winners, retrieving player statistics, and providing structured match data as a CSV resource with sampling capabilities. This project serves as an educational blueprint for developers looking to integrate their services within the MCP ecosystem.
API Development
Learning & Documentation
Data Science & ML
