Hosts the StockFlow MCP server code repository, allowing users to clone and access the implementation.
Provides a Python-based interface for retrieving and analyzing stock market data, supporting programmatic access to stock information, historical price data, and options analysis.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@StockFlow MCP Servershow me Apple's current stock price and options chain"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: MCP Yahoo Finance
Installation
# Install dependencies
pip install mcp yfinance
# Clone the repository
git clone https://github.com/twolven/stockflow
cd stockflowUsage
Clone the repository:
git clone https://github.com/twolven/mcp-stockflow.git
cd mcp-stockflowInstall dependencies:
pip install -r requirements.txtAdd to your Claude configuration: In your
claude-desktop-config.json, add the following to themcpServerssection:
{
"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:
get_stock_data- Get comprehensive stock info:
{
"symbol": "AAPL",
"include_financials": true, # optional
"include_analysis": true, # optional
"include_calendar": true # optional
}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
}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.pyUsing 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
get-stock-dataCurrent price and volume
Market cap and P/E ratio
52-week high/low
get-historical-dataOHLC prices
Configurable time periods
Volume data
get-options-chainCalls and puts
Strike prices
Greeks and IV
Volume and open interest
Available Resources
company-info://{symbol}Company description
Sector and industry
Employee count
Website
financials://{symbol}Income statement
Balance sheet
Cash flow statement
Prompts
analyze-optionsOptions 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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