BALLDONTLIE
by balldontlie-api
BALLDONTLIE — Comprehensive sports data & analytics API for NBA, NFL, MLB, NHL and 6+ major leagues. Fast, reliable stat
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
Frequently Asked Questions
- 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 67 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Build agents that actually work
Hands-on bootcamps on MCP, tool use, and multi-agent architectures — taught by practitioners.
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.8★★★★★67 reviews- ★★★★★Camila Perez· Dec 24, 2024
Strong directory entry: BALLDONTLIE surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Chaitanya Patil· Dec 20, 2024
BALLDONTLIE has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Meera Li· Dec 16, 2024
According to our notes, BALLDONTLIE benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Camila Gonzalez· Dec 12, 2024
I recommend BALLDONTLIE for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Luis Dixit· Nov 15, 2024
I recommend BALLDONTLIE for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Piyush G· Nov 11, 2024
According to our notes, BALLDONTLIE benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Carlos Chawla· Nov 7, 2024
BALLDONTLIE has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Luis Singh· Nov 3, 2024
Strong directory entry: BALLDONTLIE surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Nia Lopez· Oct 26, 2024
We evaluated BALLDONTLIE against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Charlotte Thompson· Oct 6, 2024
BALLDONTLIE reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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