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MarketScope AI: Healthcare Product Analytics

MarketScope AI: Healthcare Product Analytics

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marketscope-ai-powered-industry-segment-intelligence-platform.streamlit.appData & Analytics2Updated 69w ago
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About MarketScope AI: Healthcare Product Analytics

MarketScope AI is a healthcare market analytics platform for vendors, combining segment analysis, product comparisons, and sales insights. It uses AI agents and marketing knowledge retrieval to support strategic queries.

Key features

  1. 01Healthcare segment analysis
  2. 02Product comparisons across segments
  3. 03Sales data analysis from CSV
  4. 04Marketing strategy query optimization
  5. 05RAG over marketing knowledge

Use cases

  1. 01Compare products across healthcare segments
  2. 02Analyze uploaded sales data for insights
  3. 03Explore segment-specific marketing strategies

MCP support

It includes multiple MCP servers for unified access, marketing analysis, Snowflake, sales data analysis, and segment analysis. These servers expose the platform’s analytics capabilities to MCP clients.

#airflow#mcp#snowflake#s3-bucket#gce#streamlit#serapi#langgraph#fastmcp

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

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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/

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.