MCP server for the ClinicalTrials.gov v2 API. Search trials, retrieve study details and results, and match patients to eligible trials.
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Updated
May 30, 2026 - TypeScript
MCP server for the ClinicalTrials.gov v2 API. Search trials, retrieve study details and results, and match patients to eligible trials.
Conversational access to 400,000+ clinical trials. Python MCP server for ClinicalTrials.gov
Open-source clinical trial data, tools, and resources. Find recruiting trials across 300+ conditions.
Open-source MCP servers for clinical decision support — calculators, drugs, evidence, terminologies. Local-first, PHI-aware, fail-loud.
Lightweight JS client for ClinicalTrials.gov API v2 | https://hellostudys.com
A clean Python library for the ClinicalTrials.gov API
MNC-style pharmaceutical pipeline asset assessment Agent Skill
Real-time clinical trial intelligence dashboard powered by the ClinicalTrials.gov API — surfaces competitive trial landscape, enrollment signals, and protocol patterns for any indication, with LLM-generated summaries and a data governance layer for clinical development teams.
AACT-powered advanced meta-analysis: auto-extract trial data from a ClinicalTrials.gov/AACT snapshot, then run pairwise/NMA/dose-response/proportions with a full advanced suite (Egger/Peters/trim-fill/PET-PEESE, leave-one-out, meta-regression, subgroup, cumulative, rare-events, NMA Bucher inconsistency). Offline, config-driven.
AI-assisted, local-first patient-advocate research workspace for patients and their advocates to find clinical trials, organize medical research and prepare structured doctor briefs related to their specific illness
Generated cardiovascular ClinicalTrials.gov living meta portfolio with topic-aware reviewer packs and validation output
ClinicalTrials.gov processing pipeline
ML-Driven Clinical Trial Outcome Prediction — predicting Phase II/III success from compound features, trial design, and sponsor history with portfolio NPV simulation
Exploratory analysis of 10,000 clinical trials from ClinicalTrials.gov. Trends, sponsors, phases, and geographic distribution.
Open-source PySpark toolkit for validating public clinical trial datasets using configurable data quality rules
Open-source AI-driven clinical trial finder for patients using public registry data.
Interactive dashboard tracking CAR-T, CAR-NK, CAAR-T, and CAR-γδ T clinical trials across heme- and solid-onc from ClinicalTrials.gov v2. Sister app to Rheumatology-CAR-T-Trials-Monitor.
Add a description, image, and links to the clinicaltrials-gov topic page so that developers can more easily learn about it.
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