Xueqiu MCP is a service that provides stock data from the Xueqiu API through the Model Context Protocol (MCP). This allows you to easily access stock market information through AI assistants like Claude, without having to manually search for financial data.
To install the Xueqiu MCP server, follow these steps:
# Clone the repository
git clone https://github.com/liqiongyu/xueqiu_mcp.git
cd xueqiu_mcp
# Install dependencies using uv
uv venv && uv pip install -e .
.env
file in the project root directoryXUEQIU_TOKEN=your_xueqiu_token
You can also use this shortcut command:
echo 'XUEQIU_TOKEN="xq_a_token=xxxxx;u=xxxx"' > .env
To learn how to obtain your Xueqiu token, check the pysnowball documentation.
Start the MCP service with the following command:
uv --directory /path/to/xueqiu_mcp run main.py
If you're using Claude Desktop, you can add this to your configuration:
"xueqiu-mcp": {
"args": [
"--directory",
"/path/to/xueqiu_mcp",
"run",
"main.py"
],
"command": "uv"
}
The Xueqiu MCP server supports several useful features:
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.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
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.
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 explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.