livetennisapi/livetennisapi-mcp — MCP server for the Live Tennis API — give Claude, Cursor and other LLM agents real-time tennis score…

Description and use

Here's a brief summary and explanation of the project:

**Summary:** livetennisapi/livetennisapi-mcp is an open-source MCP server that enables AI assistants like Claude and Cursor to access real-time tennis scores, odds, and model win-probability, facilitating seamless integrations and standardizing connections between AI agents and tools.

**Value:** This project offers a valuable connection between AI assistants and real tools and data through a standard protocol, making it easier to integrate AI agents with various applications and services. By providing real-time tennis data, it enhances the capabilities of AI-powered tools, enabling them to make more informed decisions.

**Practical Adoption Path:** To adopt this project, developers can start by evaluating its implementation signals, such as API, SDK, or CLI, to determine the best integration approach for their AI assistants or applications. They can then follow the standard protocol to connect their tools to the MCP server, which provides real-time tennis data. This process is straightforward, and the project's recent activity, adoption, and ecosystem signals indicate a strong foundation for successful integrations.

**Production Readiness:** With a high production readiness score, this project is suitable for serious pilots and production environments. Its recent activity, 249 GitHub stars, and 11 forks demonstrate a strong community engagement and

Problem

livetennisapi/livetennisapi-mcp helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

MCP server for the Live Tennis API — give Claude, Cursor and other LLM agents real-time tennis scores, odds and model win-probability

Source