MCP for Stock Market Analysis
A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.
README
📈 MCP for Stock Market Analysis
A production-grade Model Context Protocol (MCP) server for stock market analysis, designed to work with Claude Desktop as the AI client. Includes a local Flask web dashboard for visual analysis.
Architecture
graph TD
subgraph Client Layer
CD[Claude Desktop]
FD[Flask Web Dashboard]
end
subgraph MCP Layer
MS[Python MCP Server]
end
subgraph Tools
FS[fetch_stock]
GC[get_company]
ST[statistics]
end
CD -- stdio --> MS
FD -- HTTP API --> MS
MS --> FS
MS --> GC
MS --> ST
FS -- yfinance --> API[Yahoo Finance API]
GC -- yfinance --> API
Dashboard Screenshots

Features
MCP Tools (used by Claude Desktop)
fetch_stock— Fetch OHLCV price history for any stock symbolget_company— Company info: sector, market cap, P/E, 52-week range, etc.statistics— Full technical analysis: SMA, EMA, RSI, MACD, Bollinger Bands, Volatility, Support/Resistance
Web Dashboard
- 🌗 Premium dark theme with glassmorphism
- 📊 Interactive price charts (Chart.js)
- 📈 RSI gauge, MACD display, Bollinger Bands visualization
- 🔍 Stock search with popular picks
- ⚡ Real-time data fetching
Quick Start
1. Setup Python Environment
cd "MCP for Stock Market Analysis"
python -m venv venv
venv\Scripts\activate # Windows
# source venv/bin/activate # Mac/Linux
pip install -r requirements.txt
2. Run the Flask Dashboard
python flask_app/app.py
Open http://localhost:5000 in your browser.
3. Connect to Claude Desktop
Add the following to your Claude Desktop config file:
Windows: %APPDATA%\Claude\claude_desktop_config.json
Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"stock-market-analysis": {
"command": "C:\\path\\to\\your\\project\\venv\\Scripts\\python.exe",
"args": ["C:\\path\\to\\your\\project\\mcp_server\\server.py"]
}
}
}
Important: You must replace
C:\path\to\your\project\with the actual absolute path to where you saved this folder on your computer. Make sure to use double backslashes\\in the JSON!
Restart Claude Desktop. You should see the stock market tools available.
4. Use with Claude Desktop
Ask Claude things like:
- "Fetch the stock data for AAPL for the last 3 months"
- "What are the technical indicators for Tesla?"
- "Give me a full analysis of NVDA including RSI, MACD, and Bollinger Bands"
- "Compare the volatility of AAPL vs MSFT"
Claude will automatically use the MCP tools to fetch data and provide analysis.
Project Structure
MCP for Stock Market Analysis/
├── mcp_server/ # MCP Server (Python)
│ ├── server.py # Main MCP server entry point
│ ├── tools/
│ │ ├── stock_fetcher.py # Tool 1: Stock data fetcher
│ │ └── statistics_tool.py # Tool 2: Technical indicators
│ └── database/
│ └── db.py # SQLite caching layer
│
├── flask_app/ # Web Dashboard
│ ├── app.py # Flask application
│ ├── templates/
│ │ └── index.html # Dashboard HTML
│ └── static/
│ ├── css/style.css # Premium dark theme
│ └── js/app.js # Dashboard logic
│
├── requirements.txt # Python dependencies
├── claude_desktop_config.json # Claude Desktop config snippet
├── .env.example # Environment template
├── .gitignore
└── README.md
Technical Indicators
| Indicator | Description | Signal |
|---|---|---|
| SMA (10, 20, 50) | Simple Moving Average | Price above SMA = Bullish |
| EMA (12, 26) | Exponential Moving Average | EMA12 > EMA26 = Bullish |
| RSI (14) | Relative Strength Index | <30 Oversold, >70 Overbought |
| MACD (12, 26, 9) | Moving Average Convergence Divergence | Histogram > 0 = Bullish |
| Bollinger Bands (20, 2σ) | Volatility bands | Position in band |
| Volatility | Standard deviation of returns | Annual risk level |
| Support/Resistance | Key price levels | 20-day high/low |
API Endpoints (Flask Dashboard)
| Endpoint | Method | Description |
|---|---|---|
/api/stock/<symbol> |
GET | Fetch OHLCV data |
/api/company/<symbol> |
GET | Company information |
/api/statistics/<symbol> |
GET | Technical indicators |
/api/health |
GET | Health check |
Query parameters: period (1d, 5d, 1mo, 3mo, 6mo, 1y, 5y), interval (1d, 1wk, 1mo)
Tech Stack
- MCP Server: Python,
mcp[cli]SDK - Data: yfinance, pandas, numpy
- Dashboard: Flask, Chart.js, vanilla CSS
- Database: SQLite (auto-created)
- AI Client: Claude Desktop (free tier)
License
MIT
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