What are the runtime requirements?
Python 3.10 or higher, a valid QMT trading account, and a locally running MiniQMT instance.
@nnquant
基本信息
QMT-MCP-Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"qmt-mcp-server": {
"command": "uv",
"args": [
"sync"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
QMT-MCP-Server is a server application based on the Model Context Protocol (MCP) that connects to the Xuntou QMT trading system, enabling large language models to execute stock trading operations. It is intended for learning and exchange purposes only and should be used cautiously in live trading environments.
Install the uv package manager, clone the repository, run uv sync to install dependencies, then execute uv run main.py. On first run, the server prompts for the MiniQMT path and funding account, saving configuration to xttrader.yaml. The server exposes an SSE endpoint at http://localhost:8001/sse for MCP clients.
Python 3.10 or higher, a valid QMT trading account, and a locally running MiniQMT instance.
Configuration (MiniQMT path and funding account) is saved automatically in the `xttrader.yaml` file after the first run.
All stock codes must include the exchange suffix, e.g., `.SH` for Shanghai or `.SZ` for Shenzhen.
Stock names may not be correctly converted to codes by some models; using stock codes is recommended for reliability.
No. The project is for learning and communication only. The author assumes no responsibility for any losses incurred from using this software in live environments.
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