by balldontlie-api
BALLDONTLIE — Comprehensive sports data & analytics API for NBA, NFL, MLB, NHL and 6+ major leagues. Fast, reliable stat
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.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Strong directory entry: BALLDONTLIE surfaces stars and publisher context so we could sanity-check maintenance before adopting.
BALLDONTLIE has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, BALLDONTLIE benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend BALLDONTLIE for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend BALLDONTLIE for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, BALLDONTLIE benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
BALLDONTLIE has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: BALLDONTLIE surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated BALLDONTLIE against two servers with overlapping tools; this profile had the clearer scope statement.
BALLDONTLIE reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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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.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
