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
Basic information
mcp_zhitou_server
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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