MarketScope AI: Healthcare Product Analytics

by BigDataTeam5

2 stars
359 downloads
Not rated
GitHub Website

About

This is our final project , in this we have utlized langgraph coupled with various mcp server mounted of fastapi using fastmcp to create mutlifaceted application for healthcare vendor to make them understand more about their product performance and provide suggestions and strateg

Details

Author
BigDataTeam5
GitHub stars
2
Downloads
359
Categories
Search

- Market Segmentation Analysis across multiple healthcare segments
- Strategic Query Optimization for targeted question answering
- Product Comparison across different market segments
- Sales & Marketing Analysis with CSV upload for AI insights
- Retrieval Augmented Generation (RAG) from marketing knowledge books

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name MarketScope AI: Healthcare Product Analytics
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

The platform requires Python 3.8 or higher. Start by running python run_servers.py for automatic dependency installation and server startup, or manually install requirements with pip install -r requirements.txt, then start the API server (python api/main.py) and the Streamlit frontend (streamlit run frontend/app.py). Deployed instances are also accessible via the listed HTTP endpoints.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "marketscope ai: healthcare product analytics": {
            "MarketScope-AI-Powered-Industry-Segment-Intelligence-Platform": {
                "command": "python",
                "args": [
                    "run_servers.py"
                ]
            }
        }
    }
}

McpServers

{
    "MarketScope-AI-Powered-Industry-Segment-Intelligence-Platform": {
        "command": "python",
        "args": [
            "run_servers.py"
        ]
    }
}

MarketScope AI: Healthcare Product Analytics

MarketScope AI is an intelligent analytics platform that helps you understand and analyze different healthcare market segments using advanced AI and natural language processing

Features

- Market Segmentation Analysis - Analyze and understand different healthcare market segments
- Strategic Query Optimization - Get optimized answers to your strategic questions
- Product Comparison - Compare products across different segments
- Sales & Marketing Analysis - Upload your sales data for AI-powered insights

Getting Started

Prerequisites

- Python 3.8 or higher
- Required packages (installed automatically when following the setup instructions)

Setup and Running

alt text

Simple Method

Run the simplified starter script:
python run_servers.py

This will:
1. Check for required packages and install them if needed
2. Start the API server
3. Start the Streamlit frontend
4. Provide you with the URL to access the application

Manual Setup

1. Install dependencies:

pip install -r requirements.txt

2. Start the API server:

python api/main.py

3. Start the Streamlit frontend:

streamlit run frontend/app.py

Project Structure

- api/ - FastAPI backend server
- frontend/ - Streamlit user interface
- mcp_servers/ - Model Context Protocol (MCP) servers for different functionalities
- agents/ - AI agents for analysis
- config/ - Application configuration

Healthcare Segments

The platform supports analysis across these healthcare segments:

- Diagnostic Segment
- Supplement Segment
- OTC Pharmaceutical Segment
- Fitness Wearable Segment
- Skin Care Segment

Data Analysis

To analyze your sales data:

1. Select your segment from the sidebar
2. Go to Sales & Marketing Analysis page
3. Upload your CSV file or use the sample data
4. Click "Analyze Data"

RAG for Marketing Knowledge

MarketScope includes a Retrieval Augmented Generation (RAG) system that provides access to marketing knowledge from Philip Kotler's Marketing Management book:

1. Go to the Query Optimization page
2. Enter your marketing question
3. The system will retrieve relevant sections from the book
4. Get tailored marketing strategies for your specific segment

Deployed Links:

-## MCP SERVER: - unified server - http://34.42.74.104:8000/docs - marketing analysis server - http://34.42.74.104:8001/docs - snowflake mcp server - http://34.42.74.104:8004/docs - sales data analysis server - http://34.42.74.104:8002/docs - segment mcp server - http://34.42.74.104:8003/docs

Troubleshooting

If you encounter issues:

- Check that all required dependencies are installed
- Verify that no other applications are using the required ports (8000-8004, 8501)
- Ensure your environment variables are properly set up
- Check the application logs for specific error messages

CodeLabs

https://codelabs-preview.appspot.com/?file_id=1_936snjPYvoj-RmfO5Vcm2G8xzjVTv0XGRy5wHlFiCo/edit?pli=1&tab=t.0#0

License

MIT License

This is MCP server is certified by MCPHub


https://mcphub.com/mcp-servers/bigdatateam5/marketscope-ai-powered-industry-segment-intelligence-platform/

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