Skip to main content
Glama
VidyasreeJayaprasad

DrugWise

README.md
# DrugWise :An MCP Server for Evidence Based Clinical Decision Support Assistant

> DrugWise is an MCP (Model Context Protocol) server that provides AI-assisted clinical decision support for medication safety.

![Model Context Protocol](https://img.shields.io/badge/Model%20Context%20Protocol-MCP-blue) ![Built with Nitrostack](https://img.shields.io/badge/Built%20with-Nitrostack-0A66FF) ![Status](https://img.shields.io/badge/status-live-brightgreen)

**DrugWise :An MCP Server for Evidence Based Clinical Decision Support Assistant** is an [MCP (Model Context Protocol)](https://nitrostack.ai) server that extends AI assistants — like Claude, Cursor, and any MCP-compatible client — with new, real-world capabilities. It is built and deployed on [Nitrostack](https://nitrostack.ai), the fastest way to build, deploy, and share MCP apps.

## Table of Contents

- [Overview](#overview)
- [What is MCP?](#what-is-mcp)
- [Features](#features)
- [Live Demo](#live-demo)
- [Getting Started](#getting-started)
- [Connect to an MCP Client](#connect-to-an-mcp-client)
- [Deploy Your Own MCP App](#deploy-your-own-mcp-app)
- [Explore More MCP Apps](#explore-more-mcp-apps)
- [FAQ](#faq)
- [Keywords](#keywords)
- [License](#license)

## Overview

DrugWise is an MCP (Model Context Protocol) server that provides AI-assisted clinical decision support for medication safety. It integrates trusted biomedical sources, such as OpenFDA, PubMed, and ClinicalTrials.gov, to provide comprehensive drug information, detect potential drug interactions, retrieve supporting clinical evidence, and suggest possible therapeutic alternatives. Rather than making prescribing decisions, DrugWise empowers healthcare professionals with consolidated, evidence-based insights to support safer and more informed treatment decisions.

## What is MCP?

The **Model Context Protocol (MCP)** is an open standard that lets AI assistants securely connect to external tools, data sources, and services. Instead of being limited to what it was trained on, an AI model can call **MCP servers** to fetch live data, run actions, and integrate with real systems.

This project is one such MCP server. Learn more about building and shipping MCP apps at [nitrostack.ai](https://nitrostack.ai).

## Features

- šŸ”Œ **MCP-native** — works with any MCP-compatible client (Claude, Cursor, and more)
- šŸ› ļø **Tools, resources & prompts** — exposes structured capabilities to AI agents
- ⚔ **Deployed on Nitrostack** — reliable, hosted, and instantly shareable
- šŸ” **Secure by design** — secrets stay in environment variables, never in code
- 🧩 **Composable** — combine with other MCP apps to build powerful AI workflows

## Live Demo

šŸš€ **Live MCP endpoint:** https://drugwise-6a5b32b8-nova-amrita-university-amritapuri-campus.app.nitrocloud.ai

Point your MCP client at the endpoint above to try it instantly. Prefer a hosted setup? Deploy your own in minutes on [Nitrostack](https://nitrostack.ai).

## Getting Started

### Prerequisites

- Node.js 18+ (or your project runtime)
- An MCP-compatible client (Claude Desktop, Cursor, etc.)

### Installation

```bash
git clone https://github.com/your-username/your-mcp-project.git
cd drugwise-an-mcp-server-for-evidence-based-clinical-decision-
npm install
```

### Configuration

Copy the example environment file and add your own values:

```bash
cp .env.example .env
```

### Run

```bash
npm run start
```

## Connect to an MCP Client

Add this server to your MCP client configuration. A typical entry looks like:

```json
{
  "mcpServers": {
    "drugwise-an-mcp-server-for-evidence-based-clinical-decision-": {
      "url": "https://drugwise-6a5b32b8-nova-amrita-university-amritapuri-campus.app.nitrocloud.ai"
    }
  }
}
```

Restart your client and the tools from this MCP server will be available to your AI assistant.

## Deploy Your Own MCP App

Want to build and ship an MCP server like this one? **[Nitrostack](https://nitrostack.ai)** lets you create, deploy, and host MCP apps in minutes — no infrastructure to manage.

šŸ‘‰ **Start building:** [https://nitrostack.ai](https://nitrostack.ai)

## Explore More MCP Apps

- šŸŒ™ Discover and share MCP projects with the community on [r/mcptothemoon](https://www.reddit.com/r/mcptothemoon/)
- 🧰 Browse a growing catalog of MCP apps on [Nitrostack](https://nitrostack.ai/apps)

## FAQ

### What is an MCP server?

An MCP server implements the Model Context Protocol to expose tools, resources, and prompts that AI assistants can call. It lets an AI model take real actions and access live data.

### What does DrugWise :An MCP Server for Evidence Based Clinical Decision Support Assistant do?

DrugWise is an MCP (Model Context Protocol) server that provides AI-assisted clinical decision support for medication safety.

### Which AI clients does this work with?

Any MCP-compatible client, including Claude Desktop and Cursor. New clients are adding MCP support regularly.

### How do I deploy my own MCP app?

Use [Nitrostack](https://nitrostack.ai) to build, deploy, and host MCP apps without managing infrastructure.

## Keywords

`HealthTech & Life Sciences` Ā· `DrugWise :An MCP Server for Evidence Based Clinical Decision Support Assistant` Ā· `MCP` Ā· `Model Context Protocol` Ā· `MCP server` Ā· `MCP app` Ā· `AI tools` Ā· `AI agents` Ā· `LLM tools` Ā· `Claude MCP` Ā· `Nitrostack` Ā· `deploy MCP server` Ā· `build MCP app`

## License

MIT Ā© 2026

---

Built with ā¤ļø using the Model Context Protocol on [Nitrostack](https://nitrostack.ai). Share your MCP app on [r/mcptothemoon](https://www.reddit.com/r/mcptothemoon/).

TDQS

B3.3/5.0

Scored across 5 tools

Disambiguation4/5

Tools have distinct purposes, but there is some overlap: orchestrator_check_drug_interactions already queries ClinicalTrials.gov, overlapping with clinical_trials_search_clinical_trials. Also, polypharmacy_risk_check_polypharmacy_risk duplicates the interaction checking logic for multiple medications. Descriptions help differentiate, but boundaries are not perfectly clear.

Naming Consistency3/5

Naming uses long descriptive underscores, but prefixes are inconsistent: 'orchestrator_', 'drug_info_', 'drug_alternatives_', 'clinical_trials_', 'polypharmacy_risk_'. Also, 'clinical_trials_search_clinical_trials' is redundant. Overall, pattern is present but mixed.

Tool Count4/5

With 5 tools, the server is well-scoped for its purpose. Each tool covers an essential step in the drug interaction workflow. Could potentially be consolidated (e.g., search trials into check interactions), but current count is reasonable.

Completeness4/5

Covers core workflow: get info, check interactions, find alternatives, search trials, polypharmacy check. Missing drug-food interactions and allergy checks, but these are tangential. Minor gaps, but agents can still complete main tasks.

Maintenance

ActivityStale
ResponsivenessNo issues