us_stock_mcp_server

us_stock_mcp_server

3.1

If you are the rightful owner of us_stock_mcp_server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Model Context Protocol (MCP) server designed for accessing and updating US stock historical price data.

US Stock Data MCP Server

A Model Context Protocol (MCP) server designed for accessing and updating US stock historical price data.

Features

  • Local Data Storage: Store stock data in CSV format locally for quick access
  • Automatic Updates: Support for automatic stock data updates from Yahoo Finance
  • Safe Data Writing: Use temporary files to ensure atomic and secure data writing
  • Flexible Time Range: Customizable start date for data updates

Installation

  1. Ensure Python 3.x is installed
  2. Clone this repository
  3. Install dependencies:
pip install -r requirements.txt

Usage

1. Start the Server

python server.py

The default data storage path after server startup is: ~/Library/Application Support/us-market-data/data

You can customize the data storage path using the US_STOCK_DATA_DIR environment variable.

2. Available Features

MCP Tools
  1. get_local_stock_data

    • Function: Retrieve local stock historical data
    • Parameters:
      • symbol: Stock symbol, e.g., 'AAPL', 'MSFT'
  2. update_stock_data

    • Function: Update stock data
    • Parameters:
      • symbol: Stock symbol, e.g., 'AAPL', 'MSFT'
      • start_date: Start date in YYYY-MM-DD format, defaults to 2015-01-01
MCP Resources
  • Resource URI: usstock://{symbol}/historical
    • Function: Provide local US stock historical price data
    • Parameters:
      • symbol: Stock symbol

Data Format

The stored stock data includes the following fields:

  • Date: Trading date
  • Open: Opening price
  • High: Highest price
  • Low: Lowest price
  • Close: Closing price
  • Volume: Trading volume

Dependencies

  • mcp: MCP protocol implementation
  • pandas: Data processing and analysis
  • yfinance: Yahoo Finance data retrieval
  • pydantic: Data validation and settings management

Notes

  1. Duplicate data is automatically handled during updates, keeping the latest records
  2. A 5-second delay is implemented between update operations to avoid frequent API requests
  3. All data operations include error handling to ensure service stability

Related MCP Servers

View all finance servers →