适合国内使用的量化金融mcp server
适合国内使用的量化金融mcp server. Exposed over MCP by the finq4cn mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
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. 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
@modelcontextprotocol/inspector on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Everything the assistant can do here goes through one of these:
Timeline — The Timeline tool exposed by this serverstocks_common_metrics — The stocks_common_metrics tool exposed by this serverBackTesting — The BackTesting tool exposed by this serverPlenty of developer tooling servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. FinQ4Cn's toolset — Timeline, stocks_common_metrics, BackTesting — is a fair guide to whether it matches your workflow. It is maintained by jinhongzou; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Timeline | The Timeline tool exposed by this server. |
| stocks_common_metrics | The stocks_common_metrics tool exposed by this server. |
| BackTesting | The BackTesting tool exposed by this server. |
{
"mcpServers": {
"FinQ4Cn-mcp-server": {
"name": "FinQ4Cn",
"command": "your_path/python.exe",
"args": [
"your_path/FinQ4Cn-mcp-server/mcp-server/fs_server.py"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
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