What data does Xueqiu MCP provide?
It provides real-time quotes, index returns, northbound market data, fund data, and stock code search — all via the Xueqiu API.
@liqiongyu
Basic information
# Xueqiu MCP
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"xueqiu_mcp": {
"command": "uv",
"args": [
"venv",
"&&",
"uv",
"pip",
"install",
"-e",
"."
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Xueqiu MCP is a Model Context Protocol server that wraps the Xueqiu (Snowball) API using pysnowball, enabling AI assistants like Claude to query stock data directly. It is intended for developers and investors who want to integrate Chinese stock market data into AI-driven workflows.
Install dependencies with uv venv && uv pip install -e . after cloning the repository. Obtain a Xueqiu token and store it in a .env file as XUEQIU_TOKEN. Start the service by running uv --directory /path/to/xueqiu_mcp run main.py or by configuring a Claude Desktop MCP client with the same uv command.
It provides real-time quotes, index returns, northbound market data, fund data, and stock code search — all via the Xueqiu API.
Yes, a valid Xueqiu token (`xq_a_token`) is required. The token must be placed in a `.env` file as `XUEQIU_TOKEN`. Instructions for obtaining a token are linked in the README.
It requires Python, the `uv` package manager, and the `pysnowball` and `fastmcp` libraries (installed automatically via the provided setup).
The server is run locally as a subprocess using the `uv` command. It uses stdio transport by default, as shown in the Claude Desktop configuration example.
The README specifically mentions Claude and shows integration with Claude Desktop, but any MCP-compatible client should be able to use it.
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