MarketScope AI MCP Server
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: 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

Simple Method
Run the simplified starter script:
python run_servers.py
This will:
- Check for required packages and install them if needed
- Start the API server
- Start the Streamlit frontend
- Provide you with the URL to access the application
Manual Setup
- Install dependencies:
pip install -r requirements.txt
- Start the API server:
python api/main.py
- Start the Streamlit frontend:
streamlit run frontend/app.py
Project Structure
api/- FastAPI backend serverfrontend/- Streamlit user interfacemcp_servers/- Model Context Protocol (MCP) servers for different functionalitiesagents/- AI agents for analysisconfig/- 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:
- Select your segment from the sidebar
- Go to Sales & Marketing Analysis page
- Upload your CSV file or use the sample data
- 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:
- Go to the Query Optimization page
- Enter your marketing question
- The system will retrieve relevant sections from the book
- 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
This is MCP server is certified by MCPHub
https://mcphub.com/mcp-servers/bigdatateam5/marketscope-ai-powered-industry-segment-intelligence-platform/
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.