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  1. Home
  2. Finance & Fintech
  3. MCP Baostock Server
  4. README

MCP Baostock Server README

The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the MCP Baostock Server listing page.

Back to MCP Baostock Server View source on GitHub

MseeP.ai Security Assessment Badge

MCP BaoStock Server

Trust Score

一个基于BaoStock的股票数据服务器,提供了多个接口用于获取股票市场数据。

功能特点

  • 提供股票基本信息查询
  • 支持K线历史数据获取
  • 行业分类数据查询
  • 分红派息数据查询
  • 季度财务指标数据(盈利能力、营运能力、成长能力)
  • 指数数据查询
  • 估值指标数据查询

安装与使用

依赖要求

  • Python 3.10+
  • baostock
  • pandas

使用说明

安装使用

bash
uv run mcp-baostock-server

接口测试用例

以下是各个接口的测试用例示例:

1. 获取股票基本信息

python
# 获取贵州茅台(sh.600519)的基本信息,包括上市日期、行业分类等基础数据

2. 获取K线历史数据

python
获取平安银行(sz.000001)从2023年1月1日到2023年1月31日的日K线数据,使用前复权方式

3. 获取行业分类数据

python
查询中国平安(sh.601318)所属的行业分类信息

4. 获取分红派息数据

python
查看工商银行(sh.601398)在2022年的分红派息详细信息

5. 获取季度盈利能力数据

python
获取贵州茅台2023年第一季度的盈利能力数据,包括净利润、毛利率等指标

6. 获取季度营运能力数据

python
分析招商银行(sh.600036)2023年第二季度的营运能力指标,包括应收账款周转率和存货周转率

7. 获取季度成长能力数据

python
评估比亚迪(sz.002594)2023年第三季度的成长能力,包括营收增长率和净利润增长率

8. 获取指数数据

python
获取沪深300指数(sh.000300)从2023年1月1日到2023年12月31日的日线行情数据

9. 获取估值指标数据

python
分析阿里巴巴(sh.688699)从2023年初至今的估值指标变化,包括市盈率、市净率等数据

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