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MarketScope AI Server

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Enables AI-powered analysis of healthcare market segments, product comparisons, and sales data insights using natural language processing and retrieval-augmente

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About

Enables AI-powered analysis of healthcare market segments, product comparisons, and sales data insights using natural language processing and retrieval-augmented generation.

README

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

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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
  1. Start the API server:
python api/main.py
  1. 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:

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/

from github.com/BigDataTeam5/MarketScope-AI-Powered-Industry-Segment-Intelligence-Platform

Installing MarketScope AI Server

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/BigDataTeam5/MarketScope-AI-Powered-Industry-Segment-Intelligence-Platform

FAQ

Is MarketScope AI Server MCP free?

Yes, MarketScope AI Server MCP is free — one-click install via Unyly at no cost.

Does MarketScope AI Server need an API key?

No, MarketScope AI Server runs without API keys or environment variables.

Is MarketScope AI Server hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install MarketScope AI Server in Claude Desktop, Claude Code or Cursor?

Open MarketScope AI Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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