Finance Mcp Server

📈 Finance MCP Server

[](https://badge.fury.io/py/finance-mcp-server) [](https://pypi.org/project/finance-mcp-server/) [](https://opensource.org/licenses/MIT)

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:

• getcomprehensivestock_info: Get detailed company, market, financial, and analyst data for any stock symbol.
• gethistoricaldata: Retrieve historical price data with customizable period and interval, including splits/dividends.
• getoptionsdata: Fetch options chain data for a stock, including calls and puts for multiple expiration dates.
• getinstitutionalholders: View institutional and major holders for a stock.
• getearningscalendar: Access earnings calendar, history, and analyst price targets.
• getanalystrecommendations: Analyst recommendations, upgrades, and downgrades.
• getfinancialstatements: Download full income statement, balance sheet, and cash flow (annual/quarterly).
• get_news: Latest news headlines and metadata for a stock.
• gettechnicalanalysis: Professional indicators (SMA, EMA, RSI, MACD, Bollinger Bands, volume, support/resistance, etc).
• getsectorperformance: Compare performance, volatility, and metrics for multiple stocks.
• getdividendhistory: 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:

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Make your changes and add tests
4. Run the test suite: pytest
5. Format your code: black finance_mcp/
6. 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 framework
• yfinance >= 0.2.18 - Yahoo Finance API wrapper
• pandas >= 2.0.0 - Data manipulation and analysis
• ta >= 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 [LICENSE](LICENSE) 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

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⭐ Star History

[](https://star-history.com/#akshatbindal/finance-mcp-server&Date)

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Made with ❤️ for the MCP and trading communities

Bringing professional-grade financial analysis to conversational AI

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: akshatbindal
• Source: akshatbindal/finance-mcp-server
• License: Apache-2.0

Install and usage instructions live in the source repository linked above.