"Pocket" matching MCP servers:

Enables AI assistants to rapidly gather and synthesize structural, chemical, conservation, and literature data about protein binding pockets for drug-target triage. Useful as a reconnaissance step before computational binder design.

Queries US prescription drug use by medical condition from AHRQ's Medical Expenditure Panel Survey — which drugs Americans take for a given condition, what a drug is prescribed for, and national volume, spending and out-of-pocket share for individual drugs or the top drugs of a year. Every response carries sample sizes and reliability flags so estimates are treated as rough magnitude and ranking rather than precise counts.