twolven mcp stockflow

twolven mcp stockflow avatar

by twolven

Stock market data provider for Claude Desktop using MCP

What is twolven mcp stockflow

StockFlow MCP Server

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.

Features

Stock Data

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

Options Analysis

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

Installation

# Install dependencies
pip install mcp yfinance

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

Usage

  1. Clone the repository:
git clone https://github.com/twolven/mcp-stockflow.git
cd mcp-stockflow
  1. Install dependencies:
pip install -r requirements.txt
  1. 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.

Usage Prompt for Claude

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
}
  1. 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
}
  1. 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."

Running the Server

python stockflow.py

Using with MCP Client

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())

Available Tools

  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

Available Resources

  1. company-info://{symbol}

    • Company description
    • Sector and industry
    • Employee count
    • Website
  2. financials://{symbol}

    • Income statement
    • Balance sheet
    • Cash flow statement

Prompts

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

Requirements

  • Python 3.12+
  • mcp
  • yfinance

Limitations

  • 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

Contributing

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

License

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

Author

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

Acknowledgments

Acknowledgments

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

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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