README Documentation
Yahoo Finance MCP Server
A simple MCP server for Yahoo Finance using yfinance. This server provides a set of tools to fetch stock data, news, and other financial information.
Tools
-
get_ticker_info
- Retrieve stock data including company info, financials, trading metrics and governance data.
- Inputs:
symbol(string): The stock symbol.
-
get_ticker_news
- Fetches recent news articles related to a specific stock symbol with title, content, and source details.
- Inputs:
symbol(string): The stock symbol.
-
search
- Fetches and organizes search results from Yahoo Finance, including stock quotes and news articles.
- Inputs:
query(string): The search query (ticker symbol or company name).search_type(string): Type of search results to retrieve (options: "all", "quotes", "news").
-
get_top
- Get top entities (ETFs, mutual funds, companies, growth companies, or performing companies) in a sector.
- Inputs:
sector(string): The sector to get.top_type(string): Type of top companies to retrieve (options: "top_etfs", "top_mutual_funds", "top_companies", "top_growth_companies", "top_performing_companies").top_n(number, optional): Number of top entities to retrieve (default 10).
-
get_price_history
- Fetch historical price data for a given stock symbol over a specified period and interval. Can return data as a markdown table or generate professional financial charts using mplfinance, including candlestick charts with volume bars, VWAP overlays, and volume profile analysis.
- Inputs:
symbol(string): The stock symbol.period(string, optional): Time period to retrieve data for (e.g. '1d', '1mo', '1y'). Default is '1mo'.interval(string, optional): Data interval frequency (e.g. '1d', '1h', '1m'). Default is '1d'.chart_type(string, optional): Type of chart to generate. If not specified, returns price data as markdown table. Options:- "price_volume": Candlestick chart with volume bars
- "vwap": Volume Weighted Average Price chart with VWAP overlay
- "volume_profile": Candlestick chart with volume profile showing volume distribution by price level (displayed as a histogram on the right side)
- Output:
- If
chart_typeis not specified: Returns historical price data as a markdown table - If
chart_typeis specified: Returns a base64-encoded WebP image for efficient token usage
- If
Usage
You can use this MCP server via uv (Python package installer), Docker, or local development.
Via uv
- Install uv
- Add the following configuration to your MCP server configuration file:
{
"mcpServers": {
"yfmcp": {
"command": "uvx",
"args": ["yfmcp@latest"]
}
}
}
Via Docker
Add the following configuration to your MCP server configuration file:
{
"mcpServers": {
"yfmcp": {
"command": "docker",
"args": ["run", "-i", "--rm", "narumi/yfinance-mcp"]
}
}
}
Local Development
For local development, add the following configuration to your MCP server configuration file:
{
"mcpServers": {
"yfmcp": {
"command": "uv",
"args": [
"run",
"--directory",
"/path/to/yfinance-mcp",
"yfmcp"
]
}
}
}
Replace /path/to/yfinance-mcp with the actual path to your local repository.
Quick Install
Quick Actions
Key Features
Model Context Protocol
Secure Communication
Real-time Updates
Open Source