china-stock-mcp-server
Documentation
China Stock MCP Server
English
Overview
China Stock MCP Server is a Multi-Call Protocol (MCP) server that provides comprehensive access to Chinese stock market data through a unified API. It leverages the AKShare library to fetch real-time and historical data from various Chinese stock exchanges including Shanghai (SSE), Shenzhen (SZSE), and Beijing (BSE).
Features
- Comprehensive Data Coverage: Access to A-shares, B-shares, indices, ETFs, and more
- Real-time Market Data: Up-to-date quotes, bid-ask spreads, and market depth
- Historical Data: Daily, minute-level, and tick-level historical price data
- Fundamental Data: Company information, financial reports, and dividend history
- Market Intelligence: Sector analysis, concept boards, and institutional holdings
- Technical Indicators: Various technical analysis metrics and signals
Installation
# Clone the repository
git clone https://github.com/yourusername/china-stock-mcp.git
cd china-stock-mcp/china-stock-mcp-server
# Create and activate a virtual environment
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install dependencies
pip install -r requirements.txtAPI Documentation
The server exposes numerous endpoints for accessing different types of stock market data. Each function is well-documented with parameter descriptions and return value formats. Some key functions include:
- `stock_zh_a_spot_em()`: Get real-time A-share market data
- `stock_zh_a_daily(symbol, start_date, end_date, adjust)`: Get historical daily data for a specific stock
- `stock_individual_info_em(symbol)`: Get detailed information for a specific stock
- `stock_financial_analysis_indicator(symbol)`: Get financial analysis indicators for a specific stock
Dependencies
- AKShare: Chinese financial data interface package
- FastMCP: Multi-Call Protocol server framework
License
This project is licensed under the MIT License - see the LICENSE file for details.
中文
概述
中国股票 MCP 服务器是一个多调用协议(MCP)服务器,通过统一的 API 提供对中国股票市场数据的全面访问。它利用 AKShare 库从上海证券交易所(SSE)、深圳证券交易所(SZSE)和北京证券交易所(BSE)等各种中国证券交易所获取实时和历史数据。
特点
- 全面的数据覆盖:访问 A 股、B 股、指数、ETF 等
- 实时市场数据:最新报价、买卖价差和市场深度
- 历史数据:日线、分钟线和 tick 级别的历史价格数据
- 基本面数据:公司信息、财务报告和股息历史
- 市场情报:行业分析、概念板块和机构持股
- 技术指标:各种技术分析指标和信号
安装
# 克隆仓库
git clone https://github.com/yourusername/china-stock-mcp.git
cd china-stock-mcp/china-stock-mcp-server
# 创建并激活虚拟环境
python -m venv .venv
source .venv/bin/activate # Windows 系统: .venv\Scripts\activate
# 安装依赖
pip install -r requirements.txt使用方法
# 启动 MCP 服务器
python main.pyAPI 文档
服务器暴露了许多用于访问不同类型股票市场数据的端点。每个函数都有详细的参数描述和返回值格式。一些关键功能包括:
- `stock_zh_a_spot_em()`:获取 A 股实时市场数据
- `stock_zh_a_daily(symbol, start_date, end_date, adjust)`:获取特定股票的历史日线数据
- `stock_individual_info_em(symbol)`:获取特定股票的详细信息
- `stock_financial_analysis_indicator(symbol)`:获取特定股票的财务分析指标
依赖
- AKShare:中文金融数据接口包
- FastMCP:多调用协议服务器框架
许可证
该项目采用 MIT 许可证 - 详情请参阅 LICENSE 文件。
Last Updated: 2025-04-14
Frequently asked questions
What is china-stock-mcp-server?
china-stock-mcp-server is a Model Context Protocol (MCP) server listed in the TrackMCP directory.
How do I install china-stock-mcp-server?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is china-stock-mcp-server open source?
Yes — it is hosted on GitHub at https://github.com/peikuo/china-stock-mcp-server and has 18 stars.
Related MCP tools
Damn Vulnerable MCP Server Python-based implementation. Trusted by 1200+ developers. Trusted by 1200+ developers. Trusted by 1200+ developers.
A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases Python-based implementation. Trusted by 900+ developers.
Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support, automatic migration versioning...
Model Context Protocol with Neo4j Python-based implementation. Trusted by 700+ developers. Trusted by 700+ developers. Trusted by 700+ developers.
An MCP server that provides control over Android devices via adb Python-based implementation. Trusted by 500+ developers.
A Model Context Protocol (MCP) server for PostgreSQL databases with enhanced capabilities for AI agents. Python-based implementation.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP