The Yahoo Finance MCP Server provides tools to fetch and analyze financial data:
Retrieve stock data: Get detailed information about specific stock symbols
Fetch stock-related news: Access recent news articles for stocks
Search: Find stock quotes or news articles using queries
Get top entities by sector: Retrieve top ETFs, mutual funds, companies, growth companies, or performing companies in specific sectors
Analyze sentiment: Perform sentiment analysis on stocks based on provided rationale
Provides a containerized deployment option for the Yahoo Finance MCP server, allowing users to run the server in an isolated environment without installing dependencies.
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 tableIf
chart_typeis specified: Returns a base64-encoded WebP image for efficient token usage
Related MCP server: MCP Yahoo Finance
Usage
You can use this MCP server via uv (Python package installer), Docker, or local development.
Via uv
Add the following configuration to your MCP server configuration file:
Via Docker
Add the following configuration to your MCP server configuration file:
Local Development
For local development, add the following configuration to your MCP server configuration file:
Replace /path/to/yfinance-mcp with the actual path to your local repository.
Demo Chatbot
This repository includes a demo chatbot built with Chainlit that provides a conversational interface to the Yahoo Finance MCP server.
Features
Interactive chat interface for querying stock information
Automatic display of financial charts and data visualizations
Support for both OpenAI and LiteLLM backends
Tool calling integration with the MCP server
Setup
Install demo dependencies:
Configure environment variables (create a
.envfile):
Run the demo:
The chatbot will be available at http://localhost:8000.
Example Queries
"Get AAPL stock information"
"Show me recent TSLA news"
"Display NVDA price history for the past month"
"Show me a candlestick chart for MSFT over the last 3 months"