MLB Stats FAQs

Question 1

What data sources does MLB Stats support?

Accepted Answer

MLB Stats supports MLB Stats API, Statcast, Fangraphs, and Baseball Reference data.  It leverages the `pybaseball` library to access these sources.

Question 2

Can I create visualizations with MLB Stats?

Accepted Answer

Yes! MLB Stats includes tools for generating matplotlib plots and returning them as base64 encoded images, enabling integration with various platforms and applications.

Question 3

How do I configure logging for MLB Stats?

Accepted Answer

Logging is configurable via environment variables. You can set the `MLB_STATS_LOG_LEVEL` (e.g., DEBUG, INFO) and `MLB_STATS_LOG_FILE` to customize the logging behavior.

Question 4

What is an MCP server and how does it help?

Accepted Answer

MLB Stats uses a Model Context Protocol (MCP) server to provide structured API access to the data. This allows compatible clients to easily request and receive specific baseball statistics in a standardized format.

Question 5

How do I run the tests?

Accepted Answer

After installing the dependencies, you can run the tests using the command `uv run pytest -v`. This ensures the MCP server and related tools are functioning correctly.

MLB Stats

주요 기능

사용 사례

MLB Stats

주요 기능

사용 사례