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MCP server · Developer Tools

Openmarkets

A Model Context Protocol (MCP) server for agentic retrieval of financial market data

Unclaimed AGPL-3.0 last commit 9 months ago devtoolsmcpmarket-datamachine-learningfinancial-datafinancemcp-server
61Good

Scored 3 days ago · breakdown

About Openmarkets

Openmarkets is an MCP server published by danchev in the Developer Tools category: a Model Context Protocol (MCP) server for agentic retrieval of financial market data.

The repository has 2 stars and 0 forks, with the last commit 9 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/danchev/openmarkets

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

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Releases

v0.1.0b1v0.1.0b1
0.1.0.a10.1.0.a1

README

PyPI PyPI - Downloads PyPI - Monthly Downloads

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.

MCP with OpenMarkets

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

Install MCP Server

Usage with Claude Desktop

  1. Install Claude Desktop from https://claude.ai/download

  2. Open your Claude Desktop configuration:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
  3. Add the following configuration:

{
  "mcpServers": {
    "openmarkets": {
      "command": "uvx",
      "args": [
        "openmarkets@latest"
      ]
    }
  }
}
  1. Restart Claude Desktop

Usage with VS Code

For quick installation, use one of the one-click installation buttons below:

Install with UVX in VS Code Install with UVX in VS Code Insiders

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 mcp key is not needed in the .vscode/mcp.json file.

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

  1. Fork the repository
  2. Create a feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a pull request

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Openmarkets

How do I install Openmarkets?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Openmarkets safe to use with an AI agent?

Its trust score is 61 out of 100 (good). It passes 2 of the 3 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Openmarkets still maintained?

The last commit was 9 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.