nhl-v3-play-by-play
If you are the rightful owner of nhl-v3-play-by-play and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
This project is an MCP (Multi-Agent Conversation Protocol) Server designed for the OpenAPI URL provided by sportsdata.io, specifically for NHL play-by-play data.
The MCP Server is a robust and flexible server implementation that facilitates multi-agent conversations using the Multi-Agent Conversation Protocol (MCP). It is auto-generated using AG2's MCP builder and is tailored to interact with the OpenAPI specifications provided by sportsdata.io for NHL play-by-play data. The server is built with Python 3.9+ and leverages modern development tools and practices, including linting, static analysis, and testing frameworks. It supports various transport modes such as stdio, SSE, and streamable HTTP, making it adaptable to different communication needs. The server is highly configurable through environment variables and JSON configuration files, allowing for easy customization and integration into existing systems. With a focus on maintainability and scalability, the MCP Server is an ideal solution for developers looking to implement conversational agents that require real-time sports data.
Features
- Supports multiple transport modes including stdio, SSE, and streamable HTTP.
- Configurable via environment variables and JSON configuration files.
- Utilizes modern development tools such as ruff for linting and mypy for static type checking.
- Includes pre-commit hooks for maintaining code quality.
- Comprehensive testing setup with pytest and coverage reporting.