HealthTech & Life Sciences Team StickssSubmitted July 18, 2026

thaletus

An MCP app on the Model Context Protocol built by Team Stickss at the Amrita University Amritapuri campus NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

THALETUS is an autonomous multi-agent hospital operating system designed to transform traditional healthcare management into an intelligent, connected, and self-operating ecosystem. Built using Agentic Artificial Intelligence and Model Context Protocol (MCP), THALETUS enables hospitals to move beyond conventional software systems by introducing a team of specialized AI agents that can understand objectives, reason about complex situations, collaborate with each other, access hospital resources, and execute operational workflows autonomously. Modern hospitals are highly complex environments where multiple departments such as patient registration, doctor management, appointments, admissions, emergency care, insurance, billing, pharmacy, and diagnostics must work together seamlessly. However, most hospitals still rely on isolated software systems where each department operates independently. This creates communication gaps, increases administrative workload, delays decision-making, and negatively impacts patient experience. A patient journey in a hospital involves multiple interconnected processes. A simple outpatient visit requires registration, doctor availability checking, appointment scheduling, medical record retrieval, consultation management, billing, and follow-up coordination. Similarly, inpatient care requires admission processing, bed allocation, doctor assignment, insurance verification, treatment tracking, and discharge management. These processes often require significant manual coordination between hospital staff, leading to long waiting times, operational inefficiencies, and increased chances of human errors. THALETUS addresses these challenges by introducing an intelligent hospital command system where multiple AI agents collaborate as a virtual healthcare operations team. Instead of acting as a simple chatbot that only responds to queries, THALETUS uses autonomous agents capable of planning actions, selecting appropriate tools, retrieving informati

HealthTech & Life Sciences track

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

Team Team Stickss

  • YASWANTH RAM RLead

  • Yajat Manjith R

  • Nived Krishna B

  • Nikhil M Pillai

Frequently asked questions

What does thaletus do?
THALETUS is an autonomous multi-agent hospital operating system designed to transform traditional healthcare management into an intelligent, connected, and self-operating ecosystem. Built using Agentic Artificial Intelligence and Model Context Protocol (MCP), THALETUS enables hospitals to move beyond conventional software systems by introducing a team of specialized AI agents that can understand objectives, reason about complex situations, collaborate with each other, access hospital resources, and execute operational workflows autonomously. Modern hospitals are highly complex environments where multiple departments such as patient registration, doctor management, appointments, admissions, emergency care, insurance, billing, pharmacy, and diagnostics must work together seamlessly. However, most hospitals still rely on isolated software systems where each department operates independently. This creates communication gaps, increases administrative workload, delays decision-making, and negatively impacts patient experience. A patient journey in a hospital involves multiple interconnected processes. A simple outpatient visit requires registration, doctor availability checking, appointment scheduling, medical record retrieval, consultation management, billing, and follow-up coordination. Similarly, inpatient care requires admission processing, bed allocation, doctor assignment, insurance verification, treatment tracking, and discharge management. These processes often require significant manual coordination between hospital staff, leading to long waiting times, operational inefficiencies, and increased chances of human errors. THALETUS addresses these challenges by introducing an intelligent hospital command system where multiple AI agents collaborate as a virtual healthcare operations team. Instead of acting as a simple chatbot that only responds to queries, THALETUS uses autonomous agents capable of planning actions, selecting appropriate tools, retrieving informati
Who built thaletus?
thaletus was built by team Team Stickss at the Amrita University Amritapuri campus 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.