China Stock Market Data MCP server for AI agents

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 for A-shares, B-shares, indices, ETFs, and more
Real-time market data including quotes, bid-ask spreads, and market depth
Historical data at daily, minute-level, and tick-level granularity
Fundamental data including company information, financial reports, and dividend history
Market intelligence with sector analysis, concept boards, and institutional holdings
Technical indicators for various analysis metrics and signals

Installation

Follow these steps to install the China Stock MCP Server:

# 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.txt

Usage

Starting the Server

To start the MCP server, run:

python main.py

Available API Endpoints

The server provides numerous endpoints for accessing different types of stock market data. Here are some key functions:

Real-time Market Data

Get real-time A-share market data:

stock_zh_a_spot_em()

Historical Data

Get historical daily data for a specific stock:

stock_zh_a_daily(symbol, start_date, end_date, adjust)

Parameters:

symbol: Stock symbol (e.g., "600000" for Pudong Development Bank)
start_date: Start date in format "YYYYMMDD"
end_date: End date in format "YYYYMMDD"
adjust: Adjustment type (e.g., "qfq" for forward adjustment)

Financial Analysis

Get financial analysis indicators for a specific stock:

stock_financial_analysis_indicator(symbol)

API Usage Examples

Example 1: Fetching Real-time A-share Data

from your_client_library import MCPClient

client = MCPClient("http://localhost:8000")
a_shares_data = client.call("stock_zh_a_spot_em")
print(a_shares_data)

Example 2: Getting Historical Data for a Stock

historical_data = client.call(
    "stock_zh_a_daily",
    symbol="600000",
    start_date="20230101",
    end_date="20230201",
    adjust="qfq"
)
print(historical_data)

Example 3: Retrieving Company Financial Indicators

financial_indicators = client.call(
    "stock_financial_analysis_indicator",
    symbol="600000"
)
print(financial_indicators)

How to install this MCP server

For Claude Code

To add this MCP server to Claude Code, run this command in your terminal:

claude mcp add-json "china-stock-mcp-server" '{"command":"python","args":["main.py"]}'

See the official Claude Code MCP documentation for more details.

For Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "china-stock-mcp-server": {
            "command": "python",
            "args": [
                "main.py"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.

For Claude Desktop

To add this MCP server to Claude Desktop:

1. Find your configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

2. Add this to your configuration file:

{
    "mcpServers": {
        "china-stock-mcp-server": {
            "command": "python",
            "args": [
                "main.py"
            ]
        }
    }
}

3. Restart Claude Desktop for the changes to take effect

China Stock Market Data MCP server