MarketScope AI Server
БесплатноНе проверенEnables AI-powered analysis of healthcare market segments, product comparisons, and sales data insights using natural language processing and retrieval-augmente
Описание
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

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
License
This is MCP server is certified by MCPHub
from github.com/BigDataTeam5/MarketScope-AI-Powered-Industry-Segment-Intelligence-Platform
Установка MarketScope AI Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/BigDataTeam5/MarketScope-AI-Powered-Industry-Segment-Intelligence-PlatformFAQ
MarketScope AI Server MCP бесплатный?
Да, MarketScope AI Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для MarketScope AI Server?
Нет, MarketScope AI Server работает без API-ключей и переменных окружения.
MarketScope AI Server — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить MarketScope AI Server в Claude Desktop, Claude Code или Cursor?
Открой MarketScope AI Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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