labeveryday/nba_mcp_server

Overview

A Python-based MCP (Model Context Protocol) server that provides access to NBA statistics and data. Developers can integrate it with MCP-compatible AI agents to query player stats, team information, and game results.

Best for

Best for
Developers who need a lightweight MCP server to expose NBA data for AI agent integrations

Use cases

• Integrating into AI agents for natural language queries about NBA standings and player performance
• Building chat interfaces that retrieve real-time NBA data on demand
• Combining with other MCP tools in multi-agent workflows for sports analytics

How to use

Install

uvx nba-stats-mcp

Tools exposed

• nba-stats-mcp

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n    "nba-stats": {\n      "command": "uvx",\n      "args": ["nba-stats-mcp"]\n    }\n  }\n}

Notes

A Python-based MCP (Model Context Protocol) server that provides access to NBA statistics and data. Developers can integrate it with MCP-compatible AI agents to query player stats, team information, and game results.

8 stars on GitHub. Last updated 2026-04-04. Licensed MIT.

Use cases

• Integrating into AI agents for natural language queries about NBA standings and player performance
• Building chat interfaces that retrieve real-time NBA data on demand
• Combining with other MCP tools in multi-agent workflows for sports analytics

Pros

• Follows the MCP standard, making it compatible with many AI frameworks
• Written in Python, a widely used language with easy setup and extension
• Open source with a permissive license (MIT) allowing modification

Cons

• Low star count (8) suggests limited community support and updates
• Depends on external NBA data sources that could change or impose rate limits
• No documentation or usage examples provided beyond the repository name

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.