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baseball-mcp: An MLB Stats API Wrapper for MCP

This project provides an MCP (Multi-Channel Pipeline) server that acts as a wrapper for the MLB Stats API. It allows you to easily access and process various MLB data points, including schedules, game results, and team information. This server is designed for efficient data retrieval and processing within an MCP framework.

#mlb#stats-api
Created by mpizza2025/03/28
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What is baseball-mcp: An MLB Stats API Wrapper for MCP?

what is baseball-mcp? baseball-mcp is an MLB Stats API wrapper that provides an MCP (Multi-Channel Pipeline) server for easy access to various MLB data points, including schedules, game results, and team information. how to use baseball-mcp? To use baseball-mcp, install the package via PyPI using pip install mcp_mlb_statsapi, or clone the repository and run it from the source code. You can interact with the server using the MCP client. key features of baseball-mcp? Retrieve MLB game schedules for specified date ranges. Fetch daily game results, including scores and winning teams. Get detailed results for a specific team's most recent game. Look up player IDs using names with fuzzy matching support. use cases of baseball-mcp? Accessing real-time MLB game schedules and results. Analyzing team performance over a season. Integrating MLB data into sports applications or websites. FAQ from baseball-mcp? Is baseball-mcp free to use? Yes! baseball-mcp is licensed under the MIT License, allowing free use and modification. How can I contribute to baseball-mcp? Contributions are welcome! You can open an issue or submit a pull request on the GitHub repository. What programming language is baseball-mcp written in? baseball-mcp is written in Python.

As an MCP (Model Context Protocol) server, baseball-mcp: An MLB Stats API Wrapper for MCP enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use baseball-mcp: An MLB Stats API Wrapper for MCP

To use baseball-mcp, install the package via PyPI using pip install mcp_mlb_statsapi, or clone the repository and run it from the source code. You can interact with the server using the MCP client. key features of baseball-mcp? Retrieve MLB game schedules for specified date ranges. Fetch daily game results, including scores and winning teams. Get detailed results for a specific team's most recent game. Look up player IDs using names with fuzzy matching support. use cases of baseball-mcp? Accessing real-time MLB game schedules and results. Analyzing team performance over a season. Integrating MLB data into sports applications or websites. FAQ from baseball-mcp? Is baseball-mcp free to use? Yes! baseball-mcp is licensed under the MIT License, allowing free use and modification. How can I contribute to baseball-mcp? Contributions are welcome! You can open an issue or submit a pull request on the GitHub repository. What programming language is baseball-mcp written in? baseball-mcp is written in Python.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

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MCP servers like baseball-mcp: An MLB Stats API Wrapper for MCP can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like baseball-mcp: An MLB Stats API Wrapper for MCP provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.