What are the runtime requirements?
Python 3.8 or higher, the `requests` library, a valid Zhitou API token, and an MCP‑compatible client (Cursor or Cline).
@CTND
基本信息
mcp_zhitou_server
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。
mcp_zhitou_server is a Python-based Model Context Protocol (MCP) server that acts as a bridge between AI agents (such as Cursor and Cline) and the Zhitou HS Data API. It provides real-time China A‑share stock market data, allowing users to query stock lists, company profiles, capital flows, and more directly through natural language in an AI agent’s chat interface.
Install Python 3.8+, the requests library, obtain a Zhitou API token, and download the single script file mcp_zhitou_server.py. Replace the placeholder token in the script with your real API token, then configure the MCP client (Cursor or Cline) by specifying the command to run the script. After setup, use natural language in the AI agent to invoke the available tools.
Python 3.8 or higher, the `requests` library, a valid Zhitou API token, and an MCP‑compatible client (Cursor or Cline).
Register at Zhitou (https://www.zhituapi.com/) and obtain your personal API token. Replace the placeholder `"ZHITU_TOKEN_LIMIT_TEST"` in the script with your token.
Current tools include `get_stock_list`, `get_new_stock_calendar`, `get_company_profile`, `get_capital_daily_trend`, and `get_all_announcements`. Additional tools can be added by extending the script.
Create a `.cursor/mcp.json` file in your project root with the command and script path, and optionally declare the tools. Example JSON is provided in the README.
In Cline’s MCP Servers settings, add a new server with a name, and set the command to the full Python interpreter path and the absolute path to the script.

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