Mcp Baostock Server
What is Mcp Baostock Server
mcp-baostock-server is a stock market data server based on BaoStock, providing various APIs to access stock market data including basic information, K-line history, and financial metrics.
Use cases
Use cases for mcp-baostock-server include obtaining basic stock information for analysis, retrieving historical K-line data for technical analysis, querying industry classifications for sector analysis, checking dividend data for investment evaluation, and accessing quarterly financial metrics for performance assessment.
How to use
To use mcp-baostock-server, ensure you have Python 3.10+ and the required dependencies (baostock and pandas) installed. Run the server using the command ‘uv run mcp-baostock-server’.
Key features
Key features of mcp-baostock-server include querying basic stock information, retrieving K-line historical data, accessing industry classification data, dividend information, quarterly financial metrics (profitability, operational capability, growth capability), index data, and valuation metrics.
Where to use
mcp-baostock-server can be used in financial analysis, stock market research, investment decision-making, and by developers building financial applications that require real-time or historical stock data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Baostock Server
mcp-baostock-server is a stock market data server based on BaoStock, providing various APIs to access stock market data including basic information, K-line history, and financial metrics.
Use cases
Use cases for mcp-baostock-server include obtaining basic stock information for analysis, retrieving historical K-line data for technical analysis, querying industry classifications for sector analysis, checking dividend data for investment evaluation, and accessing quarterly financial metrics for performance assessment.
How to use
To use mcp-baostock-server, ensure you have Python 3.10+ and the required dependencies (baostock and pandas) installed. Run the server using the command ‘uv run mcp-baostock-server’.
Key features
Key features of mcp-baostock-server include querying basic stock information, retrieving K-line historical data, accessing industry classification data, dividend information, quarterly financial metrics (profitability, operational capability, growth capability), index data, and valuation metrics.
Where to use
mcp-baostock-server can be used in financial analysis, stock market research, investment decision-making, and by developers building financial applications that require real-time or historical stock data.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP BaoStock Server
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
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
# 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
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
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
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
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
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
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
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
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
技术交流
- 微信: iamxxn886
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
