mcp-stockflow

A Model Context Protocol (MCP) server providing real-time stock data and options analysis through Yahoo Finance. Enables LLMs to access market data, analyze stocks, and evaluate options strategies.

• Real-time stock prices and key metrics
• Historical price data with OHLC values
• Company fundamentals and financial statements
• Market indicators and ratios

• Complete options chain data
• Greeks (delta, gamma, theta, vega)
• Volume and open interest tracking
• Options strategy analysis

# Install dependencies
pip install mcp yfinance

# Clone the repository
git clone https://github.com/twolven/stockflow
cd stockflow

1. Clone the repository:

git clone https://github.com/twolven/mcp-stockflow.git
cd mcp-stockflow

2. Install dependencies:

pip install -r requirements.txt

3. Add to your Claude configuration: In your claude-desktop-config.json, add the following to the mcpServers section:

{
    "mcpServers": {
        "stockflow": {
            "command": "python",
            "args": ["path/to/stockflow.py"]
        }
    }
}

Replace "path/to/stockflow.py" with the full path to where you saved the stockflow.py file.

When working with Claude, you can use this prompt to help it understand the available tools:

"I've enabled the stockflow tools which give you access to stock market data. You can use these three main functions:

1. get_stock_data - Get comprehensive stock info:

{
    "symbol": "AAPL",
    "include_financials": true,  # optional
    "include_analysis": true,    # optional
    "include_calendar": true     # optional
}

2. get_historical_data - Get price history and technical indicators:

{
    "symbol": "AAPL",
    "period": "1y",        # 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max
    "interval": "1d",      # 1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 1d, 5d, 1wk, 1mo, 3mo
    "prepost": false       # optional - include pre/post market data
}

3. get_options_chain - Get options data:

{
    "symbol": "AAPL",
    "expiration_date": "2024-12-20",  # optional - uses nearest date if not specified
    "include_greeks": true            # optional
}

All responses include current price data, error handling, and comprehensive market information."

python stockflow.py

from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

server_params = StdioServerParameters(
    command="python",
    args=["stockflow.py"]
)

async def run():
    async with stdio_client(server_params) as (read, write):
        async with ClientSession(read, write) as session:
            await session.initialize()
            
            # Get current stock data
            result = await session.call_tool(
                "get-stock-data", 
                arguments={"symbol": "AAPL"}
            )
            
            # Get options chain
            options = await session.call_tool(
                "get-options-chain",
                arguments={
                    "symbol": "AAPL",
                    "expiration_date": "2024-12-20"
                }
            )

if __name__ == "__main__":
    import asyncio
    asyncio.run(run())

1. get-stock-data

   • Current price and volume
   • Market cap and P/E ratio
   • 52-week high/low

2. get-historical-data

   • OHLC prices
   • Configurable time periods
   • Volume data

3. get-options-chain

   • Calls and puts
   • Strike prices
   • Greeks and IV
   • Volume and open interest

1. company-info://{symbol}

   • Company description
   • Sector and industry
   • Employee count
   • Website

2. financials://{symbol}

   • Income statement
   • Balance sheet
   • Cash flow statement

1. analyze-options
   • Options strategy analysis
   • Risk/reward evaluation
   • Market condition assessment

• Python 3.12+
• mcp
• yfinance

• Data is sourced from Yahoo Finance and may have delays
• Options data availability depends on market hours
• Rate limits apply based on Yahoo Finance API restrictions

Contributions are welcome! Please feel free to submit a Pull Request.

This project is licensed under the MIT License - see the LICENSE file for details.

Todd Wolven - (https://github.com/twolven)

• Built with the Model Context Protocol (MCP) by Anthropic
• Data provided by Yahoo Finance
• Developed for use with Anthropic's Claude