MCP for AI agents: A-share market/account data via Docker

Runs QMT in Docker, connecting to AI agents via MCP for broker-agnostic A-share market and account data.

Access A-Share Market and Account Data for AI Agents with QMT-MCP

For AI developers building trading strategies or analytical tools focused on the A-share market, accessing real-time and historical data is paramount. The QMT-MCP tool, available on GitHub, provides a robust solution for integrating A-share market and account data directly into your AI agent workflows. This tool leverages Docker to run QMT (Quantitative Model Toolkit) and connects to your AI agents through the MCP (Message Communication Protocol), offering a broker-agnostic approach to data acquisition. This means you can streamline your data pipelines without being tied to a specific brokerage's proprietary systems.

What QMT-MCP Does

QMT-MCP acts as a bridge between your AI agents and the A-share financial markets. It encapsulates the QMT trading platform within a Docker container, ensuring a consistent and isolated environment for data retrieval. This setup allows your AI agents to query for market data, such as tick data, order book information, and historical price series, as well as access account-specific data, including positions, balances, and order history. The MCP interface ensures seamless communication, enabling your agents to receive this critical financial information efficiently.

Key Features

Dockerized QMT: Runs QMT in a portable and reproducible Docker environment.
Broker-Agnostic Data Access: Connects to A-share market and account data without vendor lock-in.
MCP Integration: Facilitates direct communication with AI agents via the Message Communication Protocol.
Comprehensive Data: Provides access to both real-time market data and account information.
Developer-Focused: Designed for integration into custom AI trading and analysis systems.

Who is QMT-MCP For?

This tool is specifically designed for AI developers and quantitative traders who are building or enhancing AI-driven applications for the A-share market. If you are developing algorithmic trading strategies, backtesting engines, market analysis tools, or any system that requires programmatic access to A-share financial data, QMT-MCP offers a powerful and flexible solution. It is particularly beneficial for those seeking to avoid vendor-specific data feeds and build a more adaptable trading infrastructure.