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MCP Server for Live Tennis Scores API

An MCP server providing real-time tennis scores, odds, and win probabilities to LLM agents like Claude and Cursor.

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MCP Server for Live Tennis Scores API

This MCP server, hosted on GitHub, provides real-time access to live tennis scores, betting odds, and win probabilities. It's designed to be integrated into AI workflows, enabling Large Language Models (LLMs) like Claude and Cursor to access dynamic sports data. Developers can leverage this tool to build applications that require up-to-the-minute tennis information, such as predictive analytics, automated betting strategies, or real-time sports commentary generation.

What it Does

The MCP Server for Live Tennis Scores API acts as a bridge between live tennis data feeds and AI agents. It ingests real-time score updates, odds fluctuations from various bookmakers, and calculated win probabilities for ongoing matches. This data is then made available through an MCP interface, allowing LLM agents to query and retrieve this information programmatically. The server handles the data aggregation and formatting, presenting it in a structured way that AI models can easily process and interpret.

Key Features

Who it's For

This tool is specifically for AI developers and data scientists building applications that require live sports data. It is particularly useful for those working with LLMs to create intelligent agents capable of understanding and reacting to real-time events. If you are developing systems for sports analytics, automated trading, predictive modeling, or AI-powered sports content, this MCP server can provide the essential data feed you need.