Current stock diagnosis software relies on the Tushare API to obtain real-time data. In large-data-volume scenarios, it faces issues such as high network latency, slow response, and restricted call frequency.
Current stock diagnosis software relies on the Tushare API to obtain real-time data. In large-data-volume scenarios, it faces issues such as high network latency, slow response, and restricted call frequency.
Python MCP 服务器。该服务器的目标是将 Tushare Pro 的多个数据接口封装为标准的 MCP 工具，以便 AI 客户端能够调用。
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