Cherry Studio
Desktop · Free · Apache 2.0 + Addendum Terms
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FinQ4Cn-mcp-server
jinhongzou/FinQ4Cn-mcp-server
A dedicated MCP server tool designed for quantitative analysis, FinQ4Cn-mcp-server aims to provide large models with convenient, free, and open-source access to financial data. Built on the akshare library, the project focuses on China's A-share market, offering users comprehensive data support for stocks and related financial products.
Install
Client configuration
{
"mcpServers": {
"FinQ4Cn-mcp-server": {
"command": "your_path/python.exe",
"args": [
"<value>"
]
}
}
}- GitHub stars
- 1
- Author
- @jinhongzou
- Category
- Research & Data, Finance
- License
- MIT
- Updated
- Oct 6, 2026
About FinQ4Cn-mcp-server
It is particularly well-suited for professionals engaged in quantitative analysis as well as users interested in China's domestic stock market, meeting their needs for data from China's financial markets. As an ideal choice tailored to domestic investors, FinQ4Cn-mcp-server allows users to effortlessly access multi-dimensional data, including but not limited to stock prices, financial indicators, and market volatility, empowering precise decision-making.
Features
Retrieve the volatility details of the specified stock code's listed company.
Retrieve the main business composition of the listed company with the specified stock code
Obtain historical price data for the stock within the specified time period
Retrieve the financial summary data of the specified stock
Obtain the margin trading and short selling details of the specified stock within the specified time range
Retrieve the historical dividend and rights issue details of the specified stock
Fetch the latest financial news and market trends within a specified date range.
Fetch the latest news articles and information related to a specific stock within a specified date range.
Tools (4)
stocks_common_metrics
financial_news
Fetch the latest financial news and market trends within a specified date range.
stock_news
Fetch the latest news articles and information related to a specific stock within a specified date range.
BackTesting
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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