FinQ4Cn MCP Server
by jinhongzou
FinQ4Cn-mcp-server is a dedicated MCP server tool for quantitative analysis, providing large models with convenient, free, and open-source access to financial data. It focuses on China's A-share market, offering comprehensive data support for stocks and related financial products.
Last updated: N/A
What is FinQ4Cn MCP Server?
FinQ4Cn-mcp-server is an MCP server built on akshare, designed to provide convenient access to financial data for quantitative analysis, specifically focusing on China's A-share market.
How to use FinQ4Cn MCP Server?
To use FinQ4Cn-mcp-server, clone the repository, set up a virtual environment, install dependencies, and configure it with Cherry Studio or MCP inspector. Refer to the provided documentation and examples for detailed instructions and available tools.
Key features of FinQ4Cn MCP Server
Stocks Risk Alert
Stocks Common Metrics
News Report
Back Testing
Access to historical stock data
Financial report summary data retrieval
Margin trading and short selling details
Use cases of FinQ4Cn MCP Server
Quantitative analysis of China's A-share market
Backtesting trading strategies
Retrieving financial news and market trends
Analyzing stock volatility
Analyzing company's core business and revenue distribution
FAQ from FinQ4Cn MCP Server
What data does FinQ4Cn-mcp-server provide?
What data does FinQ4Cn-mcp-server provide?
It provides comprehensive data for China's A-share market, including stock prices, financial indicators, market volatility, and news reports.
What is akshare?
What is akshare?
akshare is a Python library used for accessing financial data, which FinQ4Cn-mcp-server is built upon.
How do I install the dependencies?
How do I install the dependencies?
Use the command pip install -r requirements.txt to install the required dependencies.
How do I integrate it with Cherry Studio?
How do I integrate it with Cherry Studio?
Refer to the Cherry Studio MCP Configuration Guide for detailed instructions.
How do I start the MCP inspector?
How do I start the MCP inspector?
Run the command npx @modelcontextprotocol/inspector python ./mcp-server/fs_server.py and open the address http://127.0.0.1:6274 in your browser.