Stockflow (Yahoo Finance) MCP server

Integrates with the Yahoo Finance API to provide real-time stock market data and analysis tools for financial research and trading strategies.
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Setup instructions
Provider
Todd Wolven
Release date
Dec 20, 2024
Language
Python
Stats
20 stars

StockFlow MCP Server provides real-time stock data and options analysis through Yahoo Finance. This Model Context Protocol server enables large language models to access market data, analyze stocks, and evaluate options strategies with current financial information.

Installation

Prerequisites

  • Python 3.12+
  • MCP
  • YFinance

Setup Steps

  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. Configure Claude to use the server by adding the following to your claude-desktop-config.json in the mcpServers section:

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

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

Usage

Running the Server

Start the server with:

python stockflow.py

Available Tools

The server provides three main functions:

1. Get Stock Data

Retrieve comprehensive stock information:

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

2. Get Historical Data

Obtain 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

Access options data:

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

Using with MCP Client

Here's how to use the server with an 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 Resources

The server provides access to additional resources:

  • Company Information: company-info://{symbol}

    • Company description, sector, industry, and more
  • Financial Information: financials://{symbol}

    • Income statement, balance sheet, and cash flow statement

Limitations

  • Data comes from Yahoo Finance and may have delays
  • Options data availability depends on market hours
  • Yahoo Finance API rate limits apply

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "stockflow" '{"command":"python","args":["path/to/stockflow.py"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

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

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
  • Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

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

3. Restart Claude Desktop for the changes to take effect

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