Yahoo Finance MCP Server
Enables AI assistants to access real-time financial data, historical stock prices, company information, financial statements, options data, market news, and analyst recommendations through Yahoo Finance. Built with FastMCP v2 for efficient HTTP streaming and comprehensive market analysis tools.
README
Yahoo Finance MCP Server
A Model Context Protocol (MCP) server that provides Yahoo Finance data through FastMCP v2 with HTTP streaming support. This server enables AI assistants to access real-time financial data, historical prices, company information, and market analysis tools. The server is primarily built for ThinkingSand AI agents, but can be deployed locally as well.
Features
- Real-time Stock Data: Current prices, historical data, and company information
- Financial Statements: Income statements, balance sheets, and cash flow data
- Options Trading: Option chains, expiration dates, and pricing data
- Market News: Latest financial news and analysis
- Institutional Data: Holder information and insider transactions
- Analyst Coverage: Recommendations and upgrades/downgrades
- HTTP Streaming: Fast, efficient data delivery with FastMCP v2
Available Tools
| Tool | Description | Parameters |
|---|---|---|
get_historical_stock_prices |
Historical stock price data | ticker, period, interval |
get_stock_info |
Comprehensive company and stock information | ticker |
get_yahoo_finance_news |
Latest news articles for a stock | ticker |
get_stock_actions |
Dividend and stock split history | ticker |
get_financial_statement |
Financial statements (income, balance, cashflow) | ticker, financial_type |
get_holder_info |
Institutional and insider holder data | ticker, holder_type |
get_option_expiration_dates |
Available options expiration dates | ticker |
get_option_chain |
Option chain data for calls and puts | ticker, expiration_date, option_type |
get_recommendations |
Analyst recommendations and upgrades | ticker, recommendation_type, months_back |
Installation & Setup
Prerequisites
- Python 3.11 or higher
- uv package manager
Using uv (Recommended)
# Clone the repository
git clone https://github.com/citizenhicks/yahoo-finance-mcp.git
cd yahoo-finance-mcp
# Install dependencies
uv sync
# Run the server
uv run python server.py
Configuration
Environment Variables
Create a .env file (copy from .env.example):
# Server configuration
HOST=127.0.0.1 # Server host
PORT=8000 # Server port
LOG_LEVEL=INFO # Logging level
Starting the Server
uv run python server.py
The server will start on http://127.0.0.1:8000 by default and display:
Starting Yahoo Finance MCP Server locally on 127.0.0.1:8000...
Tool Documentation
1. Historical Stock Prices
get_historical_stock_prices(ticker="AAPL", period="1mo", interval="1d")
- ticker: Stock symbol (e.g., "AAPL", "TSLA", "GOOGL")
- period:
1d,5d,1mo,3mo,6mo,1y,2y,5y,10y,ytd,max - interval:
1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3mo
2. Stock Information
get_stock_info(ticker="AAPL")
Returns comprehensive company data including current price, market cap, financial metrics, and company details.
3. Financial Statements
get_financial_statement(ticker="AAPL", financial_type="income_stmt")
- financial_type:
income_stmt,quarterly_income_stmt,balance_sheet,quarterly_balance_sheet,cashflow,quarterly_cashflow
4. Holder Information
get_holder_info(ticker="AAPL", holder_type="institutional_holders")
- holder_type:
major_holders,institutional_holders,mutualfund_holders,insider_transactions,insider_purchases,insider_roster_holders
5. Options Data
# Get available expiration dates
get_option_expiration_dates(ticker="AAPL")
# Get option chain
get_option_chain(ticker="AAPL", expiration_date="2024-01-19", option_type="calls")
- option_type:
callsorputs
6. Recommendations
get_recommendations(ticker="AAPL", recommendation_type="recommendations", months_back=12)
- recommendation_type:
recommendations,upgrades_downgrades - months_back: Number of months for historical upgrades/downgrades
MCP Client Integration
Claude Desktop
Add to your Claude Desktop MCP settings (~/.claude/claude_desktop_config.json):
{
"mcpServers": {
"yahoo-finance": {
"command": "uv",
"args": ["run", "python", "/path/to/yahoo-finance-mcp/server.py"],
"env": {
"HOST": "127.0.0.1",
"PORT": "8000"
}
}
}
}
HTTP Client Integration
Connect directly to the HTTP endpoint:
http://127.0.0.1:8000
Python Client Example
import asyncio
from fastmcp import Client
async def example():
client = Client("http://127.0.0.1:8000")
async with client:
# Get Apple stock info
result = await client.call_tool("get_stock_info", {"ticker": "AAPL"})
print(result)
# Get historical prices
result = await client.call_tool("get_historical_stock_prices", {
"ticker": "AAPL",
"period": "1y",
"interval": "1d"
})
print(result)
asyncio.run(example())
Project Structure
yahoo-finance-mcp/
├── server.py # Main FastMCP server implementation
├── main.py # Alternative entry point
├── pyproject.toml # Project dependencies and metadata
├── .env.example # Environment configuration template
├── .env # Your local environment variables (gitignored)
└── README.md # This documentation
Error Handling
The server includes robust error handling:
- Invalid tickers: Returns clear error messages for non-existent symbols
- Missing data: Graceful handling when specific data isn't available
- Network issues: Proper error reporting for Yahoo Finance API issues
- Parameter validation: Clear error messages for invalid parameters
Example error response:
"Error: Company ticker INVALID123 not found"
Data Sources
All financial data is sourced from Yahoo Finance through the yfinance Python library:
- Stock prices: Real-time and historical market data
- Company information: Fundamentals, metrics, and company details
- Financial statements: Official SEC filings and quarterly reports
- Options data: Real-time options chains and pricing
- News: Latest financial news and analyst coverage
- Institutional data: Holdings and insider transaction data
Production Deployment
Docker (Optional)
FROM python:3.11-slim
WORKDIR /app
COPY . .
RUN pip install uv
RUN uv sync
EXPOSE 8000
CMD ["uv", "run", "python", "server.py"]
Environment Variables for Production
HOST=0.0.0.0
PORT=8000
LOG_LEVEL=INFO
Contributing
- Fork the repository
- Create a feature branch
- Add new tools or improve existing ones
- Update tests and documentation
- Submit a pull request
License
This project is open source. Yahoo Finance data is subject to Yahoo's terms of service.
Troubleshooting
Common Issues
- Server won't start: Check if port 8000 is available
- Tool failures: Verify internet connection for Yahoo Finance API
- Import errors: Ensure all dependencies are installed with
uv sync
Debug Mode
Set LOG_LEVEL=DEBUG in your .env file for detailed logging.
Support
- FastMCP Issues: FastMCP Documentation
- Server Issues: Open an issue in this repository
Built with FastMCP v2 and yfinance
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