akshatbindal/finance-mcp-server
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The Finance MCP Server is a robust Model Context Protocol server designed to provide comprehensive stock market data and technical analysis capabilities to MCP-compatible clients like Claude Desktop.
get_comprehensive_stock_info
Get detailed company, market, financial, and analyst data for any stock symbol.
get_historical_data
Retrieve historical price data with customizable period and interval, including splits/dividends.
get_options_data
Fetch options chain data for a stock, including calls and puts for multiple expiration dates.
get_institutional_holders
View institutional and major holders for a stock.
get_earnings_calendar
Access earnings calendar, history, and analyst price targets.
📈 Finance MCP Server
A powerful Model Context Protocol (MCP) server that brings comprehensive stock market data and technical analysis capabilities to Claude Desktop and other MCP-compatible clients.
🚀 Features
- 📊 Stock Information: Complete company profiles, market metrics, and key statistics
- 📈 Historical Data: Customizable historical price data with multiple timeframes
- ⚡ Real-time Quotes: Live stock prices with change calculations
- 🔧 Technical Indicators: 10+ professional-grade technical analysis tools
- 🚀 High Performance: Intelligent caching system for optimal speed
- 🛡️ Robust: Comprehensive error handling and validation
- 🔌 Easy Integration: One-command installation for Claude Desktop
📦 Quick Installation
For Claude Desktop Users
pip install finance-mcp-server
Then add to your Claude Desktop configuration:
{
"mcpServers": {
"finance": {
"command": "finance-mcp-server"
}
}
}
Restart Claude Desktop and start asking about stocks! 🎉
Manual Installation
# Clone the repository
git clone https://github.com/akshatbindal/finance-mcp-server.git
cd finance-mcp-server
# Install in development mode
pip install -e .
# Or install from PyPI
pip install finance-mcp-server
🎯 Usage Examples
Once installed, you can ask Claude Desktop natural language questions like:
- "What's Apple's current stock price and market cap?"
- "Show me Tesla's performance over the last 6 months"
- "Calculate RSI and MACD for Microsoft stock"
- "Compare the 50-day moving average of Google vs Amazon"
- "What are the Bollinger Bands for Netflix right now?"
🛠️ Available Tools
The Finance MCP Server exposes the following tools via the MCP protocol:
- get_comprehensive_stock_info: Get detailed company, market, financial, and analyst data for any stock symbol.
- get_historical_data: Retrieve historical price data with customizable period and interval, including splits/dividends.
- get_options_data: Fetch options chain data for a stock, including calls and puts for multiple expiration dates.
- get_institutional_holders: View institutional and major holders for a stock.
- get_earnings_calendar: Access earnings calendar, history, and analyst price targets.
- get_analyst_recommendations: Analyst recommendations, upgrades, and downgrades.
- get_financial_statements: Download full income statement, balance sheet, and cash flow (annual/quarterly).
- get_news: Latest news headlines and metadata for a stock.
- get_technical_analysis: Professional indicators (SMA, EMA, RSI, MACD, Bollinger Bands, volume, support/resistance, etc).
- get_sector_performance: Compare performance, volatility, and metrics for multiple stocks.
- get_dividend_history: Dividend payment history, summary, and stats.
Example Tool Call (MCP JSON)
{
"tool": "get_comprehensive_stock_info",
"arguments": {"symbol": "AAPL"}
}
Caching & Performance
- Company info, news, options, holders, calendar, recommendations: 5–60 min cache
- Real-time data: 1 min cache
- Fundamentals: 10 min cache
- Optimized yfinance usage: Multi-threading enabled, batch requests, and error isolation
Error Handling
- All endpoints return clear error messages on failure
- Graceful fallback for missing or partial data
- Logging for all exceptions and warnings
Technical Analysis
- Moving averages (SMA 20/50/200, EMA 12/26)
- RSI, MACD, Bollinger Bands, volume trends
- Support/resistance, volatility, and more
Expanded Data
- Options chain (calls/puts, OI, IV, last trade)
- Institutional/major holders
- Earnings calendar/history, analyst targets
- Full financial statements (annual/quarterly)
- News headlines, publisher, related tickers
- Dividend history and summary
🛠️ Configuration
Basic Configuration
{
"mcpServers": {
"finance": {
"command": "finance-mcp-server"
}
}
}
Advanced Configuration
{
"mcpServers": {
"finance": {
"command": "finance-mcp-server",
"env": {
"LOG_LEVEL": "INFO",
"CACHE_DURATION": "300"
}
}
}
}
🔧 Development
Setting Up Development Environment
# Clone the repository
git clone https://github.com/akshatbindal/finance-mcp-server.git
cd finance-mcp-server
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install in development mode
pip install -e .
# Install development dependencies
pip install pytest black flake8 mypy
# Run tests
pytest
# Format code
black finance_mcp/
# Type checking
mypy finance_mcp/
Running the Server
# Run directly
python -m finance_mcp.server
# Or use the console script
finance-mcp-server
# With debug logging
LOG_LEVEL=DEBUG finance-mcp-server
📊 Performance Features
Intelligent Caching
- Stock Info & Technical Indicators: 5-minute cache
- Real-time Data: 1-minute cache
- Historical Data: Session-based caching
- Automatic cache invalidation
Error Handling
- Graceful handling of invalid stock symbols
- Network timeout protection
- Comprehensive error messages
- Fallback mechanisms for data retrieval
🔒 Privacy & Security
- No Data Storage: All data is retrieved in real-time from Yahoo Finance
- No User Tracking: No personal information is collected or stored
- Rate Limiting: Built-in protection against API abuse
- Error Isolation: Errors don't crash the entire server
🤝 Contributing
We welcome contributions! Here's how you can help:
- Fork the repository
- Create a feature branch:
git checkout -b feature/amazing-feature
- Make your changes and add tests
- Run the test suite:
pytest
- Format your code:
black finance_mcp/
- Submit a pull request
Areas for Contribution
- Additional technical indicators
- Cryptocurrency support
- Options and futures data
- News sentiment integration
- Performance optimizations
- Documentation improvements
📋 Requirements
- Python: 3.8 or higher
- Dependencies:
mcp >= 1.0.0
- Model Context Protocol frameworkyfinance >= 0.2.18
- Yahoo Finance API wrapperpandas >= 2.0.0
- Data manipulation and analysista >= 0.10.2
- Technical analysis library
🐛 Troubleshooting
Common Issues
Server not starting?
# Check if all dependencies are installed
pip install -r requirements.txt
# Test the server manually
finance-mcp-server
No data for a symbol?
- Verify the stock symbol is correct (e.g., "AAPL" not "Apple")
- Check if the market is open (affects real-time data)
- Some symbols may not be available on Yahoo Finance
Claude Desktop not connecting?
- Ensure the configuration JSON is valid
- Check that the command path is correct
- Restart Claude Desktop completely
- Check Claude Desktop's logs for error messages
Getting Help
- GitHub Issues: Report bugs or request features
- Discussions: Community support and questions
- Documentation: Full documentation and examples
📄 License
This project is licensed under the Apache License - see the file for details.
🙏 Acknowledgments
- Yahoo Finance for providing free financial data
- MCP Team for the Model Context Protocol framework
- Technical Analysis Library contributors
- Open Source Community for inspiration and support
🔮 Roadmap
Version 1.1.0 (Coming Soon)
- Cryptocurrency support (Bitcoin, Ethereum, etc.)
- Options chain data
- Earnings calendar integration
- News sentiment analysis
Version 1.2.0 (Future)
- Portfolio tracking capabilities
- Custom indicator builder
- Multi-timeframe analysis
- Advanced charting data
Version 2.0.0 (Vision)
- Machine learning predictions
- Risk analysis tools
- Backtesting framework
- Professional trader features
⭐ Star History
Made with ❤️ for the MCP and trading communities
Bringing professional-grade financial analysis to conversational AI