NBA▌
by obinopaul
Access real-time NBA stats, including LeBron James statistics, Luka Doncic and Anthony Edwards stats, with live updates
Access comprehensive NBA stats and live game data through a Python server using Model Context Protocol. This project delivers real-time scoreboard updates, play-by-play action, player info, career stats, team standings, game logs, and schedules. It bridges applications with NBA’s official API, offering detailed live and historical basketball information. Tools cover everything from active player lists to team stats by name and comprehensive game results. Built with reliable data handling and input validation, it supports efficient access to NBA data for analysis, app development, or fan engagement. This server simplifies working with NBA data in various projects.
github stars
★ 2
best for
- / Sports app developers building NBA features
- / Data analysts studying basketball statistics
- / Fantasy basketball applications
- / Sports betting and analysis platforms
capabilities
- / Fetch live NBA scoreboards and game results
- / Get real-time box scores and play-by-play data
- / Query player career statistics and game logs
- / Access team standings and game histories
- / List active NBA players and their info
- / Retrieve team statistics by name
what it does
Provides access to comprehensive NBA data including live game scores, player stats, team standings, and historical information through the NBA's official API.
about
NBA is a community-built MCP server published by obinopaul that provides AI assistants with tools and capabilities via the Model Context Protocol. Access real-time NBA stats, including LeBron James statistics, Luka Doncic and Anthony Edwards stats, with live updates It is categorized under developer tools, analytics data.
how to install
You can install NBA 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 runs locally on your machine via the stdio transport.
license
MIT
NBA is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Access real-time NBA stats, including LeBron James statistics, Luka Doncic and Anthony Edwards stats, with live updates
TL;DR: Provides access to comprehensive NBA data including live game scores, player stats, team standings, and historical information through the NBA's official API.
What it does
- Fetch live NBA scoreboards and game results
- Get real-time box scores and play-by-play data
- Query player career statistics and game logs
- Access team standings and game histories
- List active NBA players and their info
- Retrieve team statistics by name
Best for
- Sports app developers building NBA features
- Data analysts studying basketball statistics
- Fantasy basketball applications
- Sports betting and analysis platforms
Highlights
- Real-time live game data
- Official NBA API integration
- 10+ specialized NBA data tools
FAQ
- What is the NBA MCP server?
- NBA 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 NBA?
- 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.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
NBA is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated NBA against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: NBA is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
NBA reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend NBA for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: NBA surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
NBA 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, NBA benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired NBA into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
NBA is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.