HealthTech & Life Sciences AstraNovaSubmitted July 26, 2026

TrialSync AI+ — Multi-Agent Clinical Trial & Patient Management Copilot MCP

An MCP app on the Model Context Protocol built by AstraNova at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

TrialSync AI+ is an end-to-end multi-agent AI copilot designed to streamline clinical trial matching, eligibility screening, and patient retention. What it does: • Automated Trial Discovery: Connects live clinical trial protocols (e.g., ClinicalTrials.gov) with structured patient profiles. • Precision Eligibility Screening: Leverages multi-agent pipelines to evaluate unstructured clinical notes and biomarkers against complex inclusion/exclusion criteria. • Conversational Copilot: Equips clinicians with a Doctor AI Copilot to query trial protocols, laboratory thresholds, and treatment recommendations in real time. • Proactive Patient Safety & Monitoring: Tracks patient adherence, logs adverse events, and monitors toxicity levels to alert care teams before side effects escalate. • Executive Analytics: Generates automated clinical summary reports and sponsor-level analytics for enrollment funnels and retention stats across sites. Who it is for: Designed for clinical researchers, oncologists, trial coordinators, trial sponsors, and trial participants. What makes it special: TrialSync AI+ bridges the gap between complex research protocols and clinical workflows through specialized AI agents working in tandem. It introduces a dual, synchronized ecosystem—a physician workstation for protocol decision-making alongside a dedicated patient portal for transparent care tracking—all protected by role-based access control.

HealthTech & Life Sciences track

Design AI-powered solutions for healthcare, diagnostics, patient care, medical research, and life sciences.

Team AstraNova

  • P.MODINI VARDHANLead

  • Varshini B

  • CHINTA SAI SRI SAGAR

  • Yalamarthi Viswa Sri Harshith

Frequently asked questions

What does TrialSync AI+ — Multi-Agent Clinical Trial & Patient Management Copilot MCP do?
TrialSync AI+ is an end-to-end multi-agent AI copilot designed to streamline clinical trial matching, eligibility screening, and patient retention. What it does: • Automated Trial Discovery: Connects live clinical trial protocols (e.g., ClinicalTrials.gov) with structured patient profiles. • Precision Eligibility Screening: Leverages multi-agent pipelines to evaluate unstructured clinical notes and biomarkers against complex inclusion/exclusion criteria. • Conversational Copilot: Equips clinicians with a Doctor AI Copilot to query trial protocols, laboratory thresholds, and treatment recommendations in real time. • Proactive Patient Safety & Monitoring: Tracks patient adherence, logs adverse events, and monitors toxicity levels to alert care teams before side effects escalate. • Executive Analytics: Generates automated clinical summary reports and sponsor-level analytics for enrollment funnels and retention stats across sites. Who it is for: Designed for clinical researchers, oncologists, trial coordinators, trial sponsors, and trial participants. What makes it special: TrialSync AI+ bridges the gap between complex research protocols and clinical workflows through specialized AI agents working in tandem. It introduces a dual, synchronized ecosystem—a physician workstation for protocol decision-making alongside a dedicated patient portal for transparent care tracking—all protected by role-based access control.
Who built TrialSync AI+ — Multi-Agent Clinical Trial & Patient Management Copilot MCP?
TrialSync AI+ — Multi-Agent Clinical Trial & Patient Management Copilot MCP was built by team AstraNova at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the HealthTech & Life Sciences track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.