developer-toolsanalytics-data

BALLDONTLIE

by balldontlie-api

BALLDONTLIE — Comprehensive sports data & analytics API for NBA, NFL, MLB, NHL and 6+ major leagues. Fast, reliable stat

Comprehensive sports data and analytics API covering NBA, NFL, MLB, NHL, and 6+ other major leagues

github stars

7

250+ sports endpoints18 major leagues and esportsRemote hosted option available

best for

  • / Sports analysts building data dashboards
  • / Fantasy sports applications
  • / Sports betting research and analysis
  • / Sports journalism and content creation

capabilities

  • / Query player statistics and information across 18 leagues
  • / Fetch game schedules and results
  • / Access team standings and rankings
  • / Retrieve injury reports and player status
  • / Get betting odds and advanced analytics
  • / Browse historical game data with pagination

what it does

Provides access to comprehensive sports data from 18+ major leagues including NBA, NFL, MLB, NHL, and esports through the BALLDONTLIE API. Offers 250+ endpoints for teams, players, games, statistics, and betting odds.

about

BALLDONTLIE is an official MCP server published by balldontlie-api that provides AI assistants with tools and capabilities via the Model Context Protocol. BALLDONTLIE — Comprehensive sports data & analytics API for NBA, NFL, MLB, NHL and 6+ major leagues. Fast, reliable stat It is categorized under developer tools, analytics data.

how to install

You can install BALLDONTLIE in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

BALLDONTLIE is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

BALLDONTLIE — Comprehensive sports data & analytics API for NBA, NFL, MLB, NHL and 6+ major leagues. Fast, reliable stat

TL;DR: Provides access to comprehensive sports data from 18+ major leagues including NBA, NFL, MLB, NHL, and esports through the BALLDONTLIE API. Offers 250+ endpoints for teams, players, games, statistics, and betting odds.

What it does

  • Query player statistics and information across 18 leagues
  • Fetch game schedules and results
  • Access team standings and rankings
  • Retrieve injury reports and player status
  • Get betting odds and advanced analytics
  • Browse historical game data with pagination

Best for

  • Sports analysts building data dashboards
  • Fantasy sports applications
  • Sports betting research and analysis
  • Sports journalism and content creation

Highlights

  • 250+ sports endpoints
  • 18 major leagues and esports
  • Remote hosted option available

FAQ

What is the BALLDONTLIE MCP server?
BALLDONTLIE is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for BALLDONTLIE?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    BALLDONTLIE is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated BALLDONTLIE against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: BALLDONTLIE is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    BALLDONTLIE reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend BALLDONTLIE for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: BALLDONTLIE surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    BALLDONTLIE has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, BALLDONTLIE benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired BALLDONTLIE into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    BALLDONTLIE is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.