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liqiongyu

Xueqiu MCP

by liqiongyu

holders

Retrieve shareholder count data for Chinese stocks to analyze ownership structure and investor interest. Query stock codes to access F10 shareholder information through Xueqiu MCP.

Instructions

获取F10股东人数数据

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stock_codeNoSZ000002

Implementation Reference

  • main.py:224-228 (handler)
    The handler function implementing the 'holders' MCP tool. Decorated with @mcp.tool() for registration. Calls ball.holders(stock_code) to fetch F10 shareholder count data and processes it with process_data before returning as dict.
    @mcp.tool() def holders(stock_code: str="SZ000002") -> dict: """获取F10股东人数数据""" result = ball.holders(stock_code) return process_data(result)
  • main.py:34-61 (helper)
    Shared helper function used by the 'holders' tool (and others) to process raw data from the ball library, primarily converting timestamps to datetime strings.
    def process_data(data, process_config=None): """ 通用数据处理函数,可扩展添加各种数据处理操作 Args: data: 原始数据 process_config: 处理配置字典,用于指定要执行的处理操作 例如: {'convert_timestamps': True, 'other_process': params} Returns: 处理后的数据 """ if process_config is None: # 默认配置 process_config = { 'convert_timestamps': True } # 如果开启了时间戳转换 if process_config.get('convert_timestamps', True): data = convert_timestamps(data) # 在这里可以添加更多的数据处理逻辑 # 例如: # if 'format_numbers' in process_config: # data = format_numbers(data, **process_config['format_numbers']) return data
  • main.py:14-31 (helper)
    Supporting helper utility called by process_data to recursively convert timestamp fields in the data to readable datetime strings.
    def convert_timestamps(data): """递归地将数据中的所有 timestamp 转换为 datetime 字符串""" if isinstance(data, dict): for key, value in list(data.items()): if key == 'timestamp' and isinstance(value, (int, float)) and value > 1000000000000: # 毫秒级时间戳 data[key] = datetime.datetime.fromtimestamp(value/1000).strftime('%Y-%m-%d %H:%M:%S') elif key == 'timestamp' and isinstance(value, (int, float)) and value > 1000000000: # 秒级时间戳 data[key] = datetime.datetime.fromtimestamp(value).strftime('%Y-%m-%d %H:%M:%S') elif key.endswith('_date') and isinstance(value, (int, float)) and value > 1000000000000: # 毫秒级时间戳 data[key] = datetime.datetime.fromtimestamp(value/1000).strftime('%Y-%m-%d %H:%M:%S') elif key.endswith('_date') and isinstance(value, (int, float)) and value > 1000000000: # 秒级时间戳 data[key] = datetime.datetime.fromtimestamp(value).strftime('%Y-%m-%d %H:%M:%S') elif isinstance(value, (dict, list)): data[key] = convert_timestamps(value) elif isinstance(data, list): for i, item in enumerate(data): data[i] = convert_timestamps(item) return data

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