What data can I retrieve with Mcp_mlb_statsapi?
You can retrieve game schedules (filtered by date range and team), daily game results, team-specific recent game results, and player IDs with fuzzy name matching.
@mpizza
基本情報
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 retri
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp_mlb_statsapi": {
"command": "{YOUR_PYTHON_EXECUTABLE_PATH}/python",
"args": [
"-m",
"mcp_mlb_statsapi"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Mcp_mlb_statsapi is an MCP server that wraps the MLB Stats API, enabling access to MLB data such as schedules, game results, and team information. It is designed for efficient data retrieval and processing within an MCP framework.
Install the package via pip: pip install mcp_mlb_statsapi. Then configure it for Claude for Desktop by editing claude_desktop_config.json to add the MCP server entry as shown in the README. Alternatively, run it from source code using uvx.
You can retrieve game schedules (filtered by date range and team), daily game results, team-specific recent game results, and player IDs with fuzzy name matching.
Install it via pip: `pip install mcp_mlb_statsapi`. Alternatively, clone the repository and run it from source.
Add the MCP server configuration to your `claude_desktop_config.json` file using the appropriate command (Python executable or `uvx`) as described in the README.
Yes, the player lookup tool supports fuzzy matching using last name, first name, or a combination of both.
It is licensed under the MIT License, allowing free use, modification, and distribution subject to the license terms.
Official MCP server for the Sugra API, giving AI agents source-attributed access to 1,500+ endpoints across 36 data domains from 160+ primary sources. Covers markets, economics, company fundamentals, government, news, cl
The real-time social data source for AI. Public posts, comments, profiles, search and trends from TikTok, Instagram, YouTube, Reddit, X, Xiaohongshu, Douyin, Weibo, Amazon reviews, Google Maps and more: 157 platforms in

Hunter MCP connects AI assistants and agents to Hunter’s B2B data, enabling them to find companies and contacts, discover and verify professional email addresses, enrich leads, and manage lead lists using natural-languag
The only MCP server with live whale trades across 15 exchanges plus on-chain DEX flow. Smart Money Radar, real liquidations and outcome-scored signals. No API key required.
Facebook & Instagram data for AI agents — pages, posts, groups, Ads Library, Marketplace, profiles and reels. 47 read-only tools with structured output.
コメント