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.
Clone the repository:
git clone https://github.com/twolven/mcp-stockflow.git
cd mcp-stockflow
Install dependencies:
pip install -r requirements.txt
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.
Start the server with:
python stockflow.py
The server provides three main functions:
Retrieve comprehensive stock information:
{
"symbol": "AAPL",
"include_financials": true, # optional
"include_analysis": true, # optional
"include_calendar": true # optional
}
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
}
Access options data:
{
"symbol": "AAPL",
"expiration_date": "2024-12-20", # optional - uses nearest date if not specified
"include_greeks": true # optional
}
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())
The server provides access to additional resources:
Company Information: company-info://{symbol}
Financial Information: financials://{symbol}
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.
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.
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"
]
}
}
}
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.
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.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.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