$ loading_
Query and explore PhysioNet biomedical datasets and schemas through BigQuery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "physionet-mcp" yet — see the docs or source repo.
List the currently accessible PhysioNet datasets, include a short description for each, and prioritize those suitable for clinical research.
A list of accessible datasets with short descriptions and notes on research relevance.
Inspect the schema of a PhysioNet dataset, list all tables with their fields and types, and identify tables that may contain patient vital signs.
An overview of tables and fields, highlighting tables related to vital signs.
Write and run SQL on the target PhysioNet table to count ICU patients by age group, and return the results in a readable table.
A generated and executed SQL query with patient counts summarized by age group.
Query, analyze, and compare Google BigQuery data using natural language.
Query and explore BigQuery databases with natural language and schema discovery.
Query biomedical and pharma APIs for trials, drugs, molecules, and literature.
Query local synthetic patient data and generate patient-level statistics.
Connect to BigQuery so AI can inspect schemas and run queries.
Query NHS public health data, prescribing records, and organisation information.