get_stock_cyq
Retrieve chip distribution data for Chinese stocks to analyze market positions and trading patterns using the China Stock MCP server.
Instructions
获取指定股票的筹码分布情况
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | 股票代码 (例如: '000001') | |
| output_format | No | 输出数据格式: json, csv, xml, excel, markdown, html。默认: markdown | markdown |
Implementation Reference
- src/china_stock_mcp/server.py:752-754 (registration)Registration of the 'get_stock_cyq' tool using the @mcp.tool decorator.@mcp.tool( name="get_stock_cyq", description="获取指定股票的筹码分布情况" )
- src/china_stock_mcp/server.py:755-766 (handler)The main handler function that fetches the chip distribution (筹码分布) data for a given stock symbol using akshare's stock_cyq_em function, handles empty data, and formats the output as specified.def get_stock_cyq( symbol: Annotated[str, Field(description="股票代码 (例如: '000001')")], output_format: Annotated[ Literal["json", "csv", "xml", "excel", "markdown", "html"], Field(description="输出数据格式: json, csv, xml, excel, markdown, html。默认: markdown"), ] = "markdown" ) -> str: """获取指定股票的筹码分布情况.""" df = ak.stock_cyq_em(symbol=symbol) if df.empty: df = pd.DataFrame() return _format_dataframe_output(df, output_format)
- Input schema definition for the tool, including stock symbol and output format parameters with descriptions and types.symbol: Annotated[str, Field(description="股票代码 (例如: '000001')")], output_format: Annotated[ Literal["json", "csv", "xml", "excel", "markdown", "html"], Field(description="输出数据格式: json, csv, xml, excel, markdown, html。默认: markdown"), ] = "markdown"
- src/china_stock_mcp/server.py:89-117 (helper)Helper function used by get_stock_cyq to format the DataFrame output in various formats (json, csv, etc.).def _format_dataframe_output( df: pd.DataFrame, output_format: Literal["json", "csv", "xml", "excel", "markdown", "html"], ) -> str: """ 根据指定的格式格式化 DataFrame 输出。 """ if df.empty: return json.dumps([]) if output_format == "json": return df.to_json(orient="records", force_ascii=False) elif output_format == "csv": return df.to_csv(index=False) elif output_format == "xml": return df.to_xml(index=False) elif output_format == "excel": # 使用 BytesIO 将 Excel 写入内存 output = io.BytesIO() df.to_excel(output, index=False, engine='openpyxl') # 返回 base64 编码的二进制数据，或者直接返回字节流 # 为了兼容性，这里尝试返回 utf-8 编码的字符串，但对于二进制文件，通常直接传输字节流更合适 return output.getvalue().decode("utf-8", errors="ignore") elif output_format == "markdown": return df.to_markdown(index=False) elif output_format == "html": return df.to_html(index=False) else: return df.to_json(orient="records", force_ascii=False)