· statshawk website read, tools not yet checked

Consistent sports stats and ready-made analysis: a REST API for your product and an MCP connection for Claude, ChatGPT, or any AI assistant.

sql-optimization · sql-optimization verified and signed

Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monit

· SciPy website read, tools not yet checked

Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.

dsql · dsql verified and signed

Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when developing a scalable or distributed database/application or user requests DSQL.

statsmodels · statsmodels verified and signed

Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reportin

sql-api-query-get · Cloudflare API verified and signed

Query analytics datasets

supabase · supabase verified and signed

Supabase MCP integration for database operations, authentication, storage, and real-time subscriptions. Manage your Supabase projects, run SQL queries, and interact with your backend directly.

· Plotly website read, tools not yet checked

Millions of data teams build with Plotly. Open-source graphing libraries, Dash, and Plotly Studio for interactive data apps in Python.

pandas · dask verified and signed

· Mc-stan website read, tools not yet checked

Stan combines powerful statistical modeling capabilities with user-friendly interfaces, an active community, and a commitment to open-source development.