mcp-server-shioaji
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A Model Context Protocol (MCP) server that provides AI assistants with access to Shioaji trading API for the Taiwanese financial market.
The MCP Server for Shioaji is designed to integrate AI assistants with the Shioaji trading API, enabling them to interact with the Taiwanese financial market. This server leverages the MCP protocol to offer various trading functionalities as tools, such as retrieving current stock prices, fetching historical data, and listing available stocks. It is built to facilitate seamless communication between AI models and the Shioaji API, allowing for efficient data retrieval and trading operations. The server is implemented in Python and requires configuration of Shioaji API credentials either through environment variables or a .env file. Once configured, the server can be run using the uv package manager, and it will start on the default address of http://0.0.0.0:8000. The server's architecture is modular, allowing for easy addition of new tools and functionalities.
Features
- Integration with Shioaji API for accessing Taiwanese financial market data.
- Supports retrieval of current stock prices and historical data.
- Allows scanning of stocks based on various ranking criteria.
- Configurable via environment variables or .env file for API credentials.
- Modular architecture for easy addition of new tools.