
Developed and deployed two Fantasy Premier League MCP servers across the modelcontextprotocol/servers and punkpeye/awesome-mcp-servers repositories, focusing on real-time data access and personalized recommendations for agents and users. Leveraged Python for server development and API integration, establishing scalable data pipelines that support real-time analytics and decision-support tools. Integrated AI-driven data analysis to enhance user engagement by enabling faster, data-driven actions and tailored advice for Fantasy Premier League teams. Emphasized clear documentation and cross-repository collaboration, delivering customer-facing features that address business needs and improve performance. The work laid a technical foundation for future enhancements in real-time sports analytics platforms.
March 2025 performance summary: Delivered two new Fantasy Premier League (FPL) MCP servers across separate repositories, enabling real-time data access and personalized recommendations for agents. These features establish foundational real-time data pipelines and enhance decision support, driving faster, data-driven actions and improved user engagement.
March 2025 performance summary: Delivered two new Fantasy Premier League (FPL) MCP servers across separate repositories, enabling real-time data access and personalized recommendations for agents. These features establish foundational real-time data pipelines and enhance decision support, driving faster, data-driven actions and improved user engagement.

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