NBA Player Stats
This NBA Player Stats MCP server by Ziyad Mir provides AI agents with detailed basketball statistics from basketball-reference.com through 23 specialized tools organized across three analytical layers: core statistics (career stats, season comparisons, advanced metrics, shooting splits), deep analytics (game logs, specific stat queries, awards voting, team matchups), and ultra-deep analytics (career trend analysis, milestone tracking, situational splits, all-time rankings). Built with Python using the FastMCP framework and basketball_reference_scraper library, it includes automatic fixes for compatibility issues with the current basketball-reference.com website structure and handles complex queries like player comparisons, playoff performance analysis, and career progression tracking, making it valuable for sports analysts, fantasy basketball applications, and AI agents that need comprehensive NBA player data for statistical analysis and reporting.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/ziyadmir/nba-player-stats-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve NBA Player Stats from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.