labeveryday/nba_mcp_server
by Various
NBA MCP server to get nba stats and data
MCP
labeveryday/nba_mcp_server
Added 1 June 2026
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
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.
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
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