mcp-server-shioaji
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This project is an MCP server for the Shioaji trading API, aimed at providing AI assistants with enhanced access to financial data for the Taiwanese market. It includes features such as retrieving stock prices and fetching historical data, making it a valuable tool for financial analysis.
Overview
A Model Context Protocol (MCP) server providing AI assistants access to the Shioaji trading API for the Taiwanese financial market.
Key Features
- Retrieve current stock prices
- Fetch historical data
- List available stocks
Installation
- Prerequisites: Python 3.10 or higher, uv (fast Python package manager)
Available Tools
- get_stock_price: Get current stock price by symbol.
- get_kbars: Fetch K-Bar (candlestick) data.
- scan_stocks: Scan stocks based on ranking criteria.