MCP Stock Market Servers

Two Model Context Protocol (MCP) servers providing comprehensive stock market data and news for Indian (NSE) and global markets.

🚀 Features

Stock Market Server (stock_market_server.py)

• Real-time Stock Prices: Get current prices for NSE and global stocks

• Sector Analysis: Browse stocks by industry sectors

• Historical Data: Retrieve historical price data with customizable periods

• Top Performers: Get top gainers, losers, and most active stocks from NIFTY 50

• Intelligent Caching: 1-hour cache system to reduce API calls

• Fallback Data: Backup data for major Indian stocks when APIs are unavailable

Stock News Server (stock_news_server.py)

• Stock-specific News: Get latest news for individual stocks

• Market News: General market news and updates

• Multiple Sources: Integrates Alpha Vantage, Yahoo Finance, and NewsAPI

• Smart Caching: 1-hour cache system for news articles

• Error Resilience: Graceful fallback when API limits are reached

Related MCP server: Stock Data MCP Server

📋 Prerequisites

Python Dependencies

Using UV (Recommended)

uv add fastmcp yfinance requests beautifulsoup4 pandas pathlib

Using Pip

pip install fastmcp yfinance requests beautifulsoup4 pandas pathlib

API Keys (Optional but Recommended)

1. NewsAPI (Free tier available)

   • Visit: https://newsapi.org/

   • Get your API key

   • Set environment variable: NEWS_API_KEY

2. Alpha Vantage (Free tier available)

   • Visit: https://www.alphavantage.co/

   • Get your API key

   • Set environment variable: ALPHA_VANTAGE_API_KEY

Setting Environment Variables

Windows (PowerShell)

# Temporary (current session only)
$env:NEWS_API_KEY = "your_newsapi_key_here"
$env:ALPHA_VANTAGE_API_KEY = "your_alphavantage_key_here"

# Permanent
[System.Environment]::SetEnvironmentVariable('NEWS_API_KEY', 'your_newsapi_key_here', 'User')
[System.Environment]::SetEnvironmentVariable('ALPHA_VANTAGE_API_KEY', 'your_alphavantage_key_here', 'User')

Linux/macOS

# Add to ~/.bashrc or ~/.zshrc
export NEWS_API_KEY="your_newsapi_key_here"
export ALPHA_VANTAGE_API_KEY="your_alphavantage_key_here"

# Or set temporarily
export NEWS_API_KEY="your_newsapi_key_here"
export ALPHA_VANTAGE_API_KEY="your_alphavantage_key_here"

🛠️ Installation & Setup

1. Clone or download the server files

2. Install dependencies:

   Using UV (Recommended)

   uv add fastmcp yfinance requests beautifulsoup4 pandas

   Using Pip

   pip install fastmcp yfinance requests beautifulsoup4 pandas

3. Set API keys (optional but recommended)

4. Test the servers (opens server for testing):

   Using UV

   # Test Stock Market Server (opens interactive testing environment)
   uv run mcp dev stock_market_server.py
   
   # Test Stock News Server (opens interactive testing environment)
   uv run mcp dev stock_news_server.py

   Using Python directly

   # Stock Market Server
   python stock_market_server.py
   
   # Stock News Server  
   python stock_news_server.py

5. Install in Claude:

   Using UV

   # Install Stock Market Server
   uv run mcp install stock_market_server.py
   
   # Install Stock News Server
   uv run mcp install stock_news_server.py

📚 Available Tools

Stock Market Server Tools

get_stock_price(ticker: str)

Get current stock price with formatted output.

Parameters:

• ticker: Stock symbol (e.g., "RELIANCE.NS", "AAPL")

Example:

get_stock_price("RELIANCE.NS")
# Returns: "💰 Reliance Industries (RELIANCE.NS): ₹2,500.00"

get_sector_stocks(sector: str)

Get list of stocks in a specific sector.

Available Sectors:

• Information Technology

• Financial Services

• Energy

• Consumer Goods

• Healthcare

Example:

get_sector_stocks("Information Technology")
# Returns list of IT sector stocks

get_stock_history(ticker: str, period: str, interval: str)

Get historical stock data for analysis.

Parameters:

• ticker: Stock symbol

• period: Time period ('1d', '5d', '1mo', '3mo', '6mo', '1y', '2y', '5y', '10y', 'ytd', 'max')

• interval: Data interval ('1m', '2m', '5m', '15m', '30m', '60m', '90m', '1h', '1d', '5d', '1wk', '1mo', '3mo')

Example:

get_stock_history("RELIANCE.NS", "1mo", "1d")
# Returns JSON with historical data and summary statistics

get_top_nse_stocks(category: str)

Get top performing stocks from NSE NIFTY 50.

Categories:

• gainers: Top gaining stocks

• losers: Top losing stocks

• most_active: Most actively traded stocks

Example:

get_top_nse_stocks("gainers")
# Returns JSON with NIFTY 50 data and top gaining stocks

Stock News Server Tools

get_stock_news(ticker: str, source: str)

Get latest news articles for a specific stock.

Parameters:

• ticker: Stock symbol (e.g., "RELIANCE.NS")

• source: News source ('all', 'alpha_vantage', 'yahoo')

Example:

get_stock_news("RELIANCE.NS", "all")
# Returns JSON with news articles for Reliance

get_market_news()

Get latest general market news.

Example:

get_market_news()
# Returns formatted list of latest market news

🎯 Usage Examples

Once installed in Claude Desktop, you can use these tools through natural language commands:

Stock Market Server Examples

• "Get the current price of Reliance Industries"

• "Show me IT sector stocks"

• "Get 1-month historical data for HDFC Bank"

• "What are the top gainers in NIFTY 50 today?"

Stock News Server Examples

• "Get latest news for TCS"

• "Show me general market news"

• "What's the latest news about Infosys from all sources?"

Sample Interactions

User: "What's the current price of RELIANCE.NS?" Claude: Uses get_stock_price("RELIANCE.NS") → "💰 Reliance Industries (RELIANCE.NS): ₹2,500.00"

User: "Show me the top performing stocks today" Claude: Uses get_top_nse_stocks("gainers") → Returns formatted list of top gainers

User: "Get me news about TCS" Claude: Uses get_stock_news("TCS.NS", "all") → Returns latest news articles

🔧 Development Workflow

Using UV (Recommended)

# Initialize project
uv init

# Add dependencies
uv add fastmcp yfinance requests beautifulsoup4 pandas

# Test servers during development (opens interactive testing environment)
uv run mcp dev stock_market_server.py
uv run mcp dev stock_news_server.py

# Install servers for production use
uv run mcp install stock_market_server.py
uv run mcp install stock_news_server.py

Using Traditional Python

# Install dependencies
pip install fastmcp yfinance requests beautifulsoup4 pandas

# Run servers
python stock_market_server.py
python stock_news_server.py