Question 1

What is an MCP Server?

Accepted Answer

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.

Question 2

What is the UBOS MCP Server for MLB Stats API?

Accepted Answer

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.

Question 3

What data can I access with this server?

Accepted Answer

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.

Question 4

How do I install the server?

Accepted Answer

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.

Question 5

What are the prerequisites for installation?

Accepted Answer

You need Python 3.10 or newer and the `uv` package manager. Instructions for installing `uv` are provided in the documentation.

Question 6

How do I integrate this server with the UBOS platform?

Accepted Answer

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.

Question 7

Can I contribute to the project?

Accepted Answer

Yes, contributions are welcome! You can open an issue or submit a pull request on the GitHub repository.

Question 8

What license is the server released under?

Accepted Answer

The server is licensed under the MIT License, allowing for free use, modification, and distribution.

Question 9

Does the server use any external libraries?

Accepted Answer

Yes, it relies heavily on the `mlb-statsapi` library for data retrieval from the MLB Stats API.

Question 10

Where can I find the MLB-StatsAPI library?

Accepted Answer

The MLB-StatsAPI library can be found at [https://github.com/toddrob99/MLB-StatsAPI](https://github.com/toddrob99/MLB-StatsAPI).

Question 11

What is UBOS?

Accepted Answer

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.

Question 12

Why use UBOS with the MLB Stats API MCP Server?

Accepted Answer

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.

MLB Stats API Wrapper

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