Enables AI agents to search and analyze clinical trial data from ClinicalTrials.gov using both structured SQL queries for filtering trials by status, phase, and conditions, and semantic vector search for exploring detailed protocol information like exclusion criteria.
Provides access to the ClinicalTrials.gov AACT database, enabling analysis of clinical trial data, tracking development trends, and generating therapeutic landscape insights.
Enables exploring and querying SQLite databases through natural language, with tools to list tables, describe table structures, and run SELECT queries.
Enables users to query ClinicalTrials.gov using natural language instead of complex API parameters, translating plain English requests into structured API calls and returning organized clinical trial data.
Enables AI assistants to search and access clinical trial data from ClinicalTrials.gov, including searching trials by keywords, retrieving detailed trial metadata by NCT ID, and managing trial data in CSV format for research and analysis.
