Question 1

What is an MCP Server?

Accepted Answer

MCP (Model Context Protocol) Server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to LLMs.

Question 2

What data does the MCP Server for `pybaseballstats` provide?

Accepted Answer

It provides MLB and Fangraphs baseball data, including player Statcast data, team batting/pitching stats, and league leaderboards.

Question 3

What is `pybaseballstats`?

Accepted Answer

`pybaseballstats` is a Python library that provides access to MLB and Fangraphs baseball data. The MCP Server uses this library to fetch data.

Question 4

How do I install the MCP Server?

Accepted Answer

You can install it using `pip install -r requirements.txt` after cloning the repository. Then, run the server with `uvicorn main:app --reload`.

Question 5

How do I access the API documentation?

Accepted Answer

Once the server is running, you can access the interactive API documentation at `http://127.0.0.1:8000/docs`.

Question 6

Can I use this server with the UBOS platform?

Accepted Answer

Yes! The MCP Server is designed to integrate seamlessly with the UBOS platform for AI agent development.

Question 7

What are some example API calls?

Accepted Answer

Examples include: n   *   `GET /player?name=Mike Trout` to get player statsn   *   `GET /team_stats?team=Yankees&year=2023&type=batting` to get team batting statsn   *   `GET /leaderboard?stat=HR&season=2023&league=AL&type=batting` to get league leaderboards.

Question 8

How can I list available tools?

Accepted Answer

You can list available tools using HTTP with `curl -X POST http://localhost:8000/tools/list` or using the STDIO wrapper.

Question 9

What are the system requirements for running the MCP Server?

Accepted Answer

The server requires Python and the dependencies listed in `requirements.txt`, including pandas and numpy.

Question 10

Is the data provided in real-time?

Accepted Answer

The server can be configured to update its data regularly, but it may not be real-time depending on the source data update frequency.

Question 11

Can I use this server for commercial purposes?

Accepted Answer

Please review the licensing of `pybaseballstats` and any other dependencies to ensure compliance for commercial use. Also, review UBOS asset marketplace license.

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