Frequently Asked Questions (FAQ) about UBOS MCP Server for MLB Stats API

Q: What is an MCP Server? A: MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools.

Q: What is the UBOS MCP Server for MLB Stats API? A: It’s a server that acts as a wrapper for the MLB Stats API, allowing you to easily access and process various MLB data points, including schedules, game results, and team information.

Q: What data can I access with this server? A: You can access MLB game schedules, daily game results (scores, winning/losing teams, winning pitcher), detailed results for a specific team’s recent games (scoring plays, highlights), and player information.

Q: How do I install the server? A: You can install it via PyPI using pip install mcp_mlb_statsapi or clone the repository from GitHub and follow the installation instructions in the README.

Q: What are the prerequisites for installation? A: You need Python 3.10 or newer and the uv package manager. Instructions for installing uv are provided in the documentation.

Q: How do I integrate this server with the UBOS platform? A: You need to configure the claude_desktop_config.json file to include the server’s command and arguments. Detailed instructions are provided in the project’s README.

Q: Can I contribute to the project? A: Yes, contributions are welcome! You can open an issue or submit a pull request on the GitHub repository.

Q: What license is the server released under? A: The server is licensed under the MIT License, allowing for free use, modification, and distribution.

Q: Does the server use any external libraries? A: Yes, it relies heavily on the mlb-statsapi library for data retrieval from the MLB Stats API.

Q: Where can I find the MLB-StatsAPI library? A: The MLB-StatsAPI library can be found at https://github.com/toddrob99/MLB-StatsAPI.

Q: What is UBOS? A: UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

Q: Why use UBOS with the MLB Stats API MCP Server? A: UBOS provides a comprehensive environment for developing and deploying AI agents that can leverage MLB data for various tasks, such as generating reports, providing insights, or making predictions. It simplifies the development process and ensures scalability and reliability.