openmarkets
A Model Context Protocol (MCP) server for agentic retrieval of financial data from Yahoo Finance, enabling stock information, historical data, analyst data, and more.
README
Open Markets
A Model Context Protocol (MCP) server for agentic retrieval of financial data from Yahoo Finance. This server leverages YFinance to provide a simple and efficient way to access historical stock prices, dividends, stock splits, company information, and other financial metrics.
This MCP server is designed to be used with various LLM applications that support the Model Context Protocol, such as Claude Desktop, n8n, and Cursor. It allows users to retrieve financial data in a structured way, making it easy to integrate into AI applications.

Features
- Get basic stock information (price, market cap, sector, etc.)
- Fetch historical price data with customizable periods
- Retrieve analyst recommendations
- Download data for multiple stocks simultaneously
- Access dividend history
Usage
This MCP server can be used with various LLM applications that support the Model Context Protocol:
- Claude Desktop: Anthropic's desktop application for Claude
- Cursor: AI-powered code editor with MCP support
- Custom MCP clients: Any application implementing the MCP client specification
Installation
Usage with Claude Desktop
-
Install Claude Desktop from https://claude.ai/download
-
Open your Claude Desktop configuration:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add the following configuration:
{
"mcpServers": {
"openmarkets": {
"command": "uvx",
"args": [
"openmarkets@latest"
]
}
}
}
- Restart Claude Desktop
Usage with VS Code
For quick installation, use one of the one-click installation buttons below:
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open Settings (JSON).
Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.
Note that the
mcpkey is not needed in the.vscode/mcp.jsonfile.
UVX
{
"mcp": {
"servers": {
"openmarkets": {
"command": "uvx",
"args": [
"openmarkets@latest"
]
}
}
}
}
Available Tools
This MCP server provides a variety of tools for retrieving financial data. Below is a list of available tools and their main arguments:
Stock Information
- get_stock_info(ticker: str)
Get basic information about a stock.
Historical Data
- get_historical_data(ticker: str, period: str = "1mo", interval: str = "1d")
Get historical price data for a stock. - get_multiple_tickers(tickers: list[str], period: str = "1d")
Get data for multiple stocks at once. - download_bulk_data(tickers: list[str], period: str = "1mo", interval: str = "1d", ...)
Download bulk historical data for multiple tickers. - get_ticker_history_metadata(ticker: str)
Get available periods, intervals, and metadata for a ticker.
Analyst Data
- get_recommendations(ticker: str)
Get analyst recommendations for a stock. - get_analyst_price_targets(ticker: str)
Get analyst price targets. - get_upgrades_downgrades(ticker: str)
Get recent upgrades and downgrades. - get_recommendations_summary(ticker: str)
Get recommendations summary.
Corporate Actions
- get_dividends(symbol: str, period: str = "5y")
Get dividend history for a stock. - get_splits_history(symbol: str, period: str = "5y")
Get stock split history.
Market Data
- get_market_status()
Get current US market status. - get_trending_tickers(region: str = "US", count: int = 10)
Get trending/popular tickers. - get_sector_performance()
Get sector performance using ETFs. - get_index_data(indices: list[str] = None)
Get data for major market indices.
Calendar & Market Hours
- get_market_calendar_info(ticker: str)
Get market calendar and session info. - get_market_hours(ticker: str)
Get market hours and session information. - get_exchange_info(ticker: str)
Get detailed exchange and trading information.
Screener & Search
- screen_stocks_by_criteria(...)
Screen stocks by market cap, P/E, dividend yield, sector, etc. - get_similar_stocks(ticker: str, count: int = 5)
Find similar stocks by sector and market cap. - get_top_performers(period: str = "1mo", sector: str = None, count: int = 10)
Get top performing stocks.
Technical Analysis
- get_technical_indicators(ticker: str, period: str = "6mo")
Get technical indicators (SMA, price position, etc.). - get_volatility_metrics(ticker: str, period: str = "1y")
Get volatility and risk metrics. - get_support_resistance_levels(ticker: str, period: str = "6mo")
Get support and resistance levels.
Options
- get_options_expiration_dates(ticker: str)
Get available options expiration dates. - get_option_chain(ticker: str, expiration_date: str = None)
Get option chain for a ticker. - get_options_volume_analysis(ticker: str, expiration_date: str = None)
Analyze options volume and open interest. - get_options_by_moneyness(ticker: str, expiration_date: str = None, moneyness_range: float = 0.1)
Filter options by proximity to current price.
Financial Statements
- get_financials_summary(ticker: str)
Get key financial metrics summary.
Funds & ETFs
- get_fund_profile(ticker: str)
Get fund/ETF profile. - get_fund_holdings(ticker: str, count: int = 20)
Get top holdings of a fund/ETF. - get_fund_sector_allocation(ticker: str)
Get sector allocation of a fund/ETF. - get_fund_performance(ticker: str)
Get fund/ETF performance metrics. - compare_funds(tickers: list[str])
Compare multiple funds/ETFs.
Crypto
- get_crypto_info(crypto_symbol: str)
Get cryptocurrency info. - get_crypto_historical_data(crypto_symbol: str, period: str = "1mo", interval: str = "1d")
Get historical data for a cryptocurrency. - get_top_cryptocurrencies(count: int = 10)
Get data for top cryptocurrencies. - get_crypto_fear_greed_proxy(crypto_symbols: list[str] = None)
Get a proxy for crypto fear/greed index.
Currency & Validation
- get_currency_data(base_currency: str = "USD", target_currencies: list[str] = None)
Get currency exchange rates. - validate_tickers(tickers: list[str])
Validate if tickers are valid and available.
This list reflects the tools registered in the codebase and their main arguments. For more details, see the respective files in tools.
Development
To test the MCP server locally, install the uvx and npx and run the following command:
npx @modelcontextprotocol/inspector uvx openmarkets@latest
This command will start the MCP server and open the MCP Inspector in your default web browser. You can then interact with the server and test its functionality.
License
AGPLv3+ License - see LICENSE for details.
Contributing
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a pull request
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.