FactorHub MCP Server
A China A-share market data MCP server that enables AI agents to query factor data, market quotes, valuations, and run strategy backtests.
README
FactorHub MCP Server
<a id="中文"></a>
中文
A 股量化数据 MCP 服务器 —— 让 Claude、Cursor 等 AI 工具直接查询因子数据、行情、估值、回测。
功能列表
| 工具 | 说明 |
|---|---|
set_api_key |
设置你的 API Key(可选,不设置使用免费体验额度) |
list_factors |
因子列表(分类、搜索) |
get_factor_scores |
因子评分指标(年化收益、夏普、IC等) |
get_factor_nav |
因子净值曲线 |
get_market_daily |
个股日线行情(OHLCV) |
get_index_daily |
指数日线(上证、沪深300等) |
get_valuation |
估值指标(PE、PB、PS、股息率) |
get_stock_info |
个股基本信息 |
get_stock_list |
股票筛选 |
get_trade_dates |
交易日历 |
run_backtest |
量化策略回测 |
快速开始
方式一:免费体验(无需注册)
使用托管服务器,无需 API Key,自带免费额度(10 次/天)。
Claude Desktop —— 编辑 claude_desktop_config.json:
{
"mcpServers": {
"factorhub": {
"command": "npx",
"args": ["-y", "@smithery/cli@latest", "run", "factorhub"]
}
}
}
或直接远程连接:
https://factorhub.cn/mcp/sse
方式二:安装到本地(使用自己的 API Key)
注册 factorhub.cn,在 API Key 管理页 生成 Key,获得更高额度。
pip install factorhub-mcp
Claude Desktop —— 编辑 claude_desktop_config.json:
{
"mcpServers": {
"factorhub": {
"command": "factorhub-mcp",
"env": {
"FACTORHUB_API_KEY": "fh_你的密钥"
}
}
}
}
Cursor —— 编辑 .cursor/mcp.json,格式同上。
Claude Code —— 运行:
claude mcp add factorhub -- env FACTORHUB_API_KEY=fh_你的密钥 factorhub-mcp
OpenClaw —— 添加到技能配置:
providers:
factorhub:
type: mcp
command: factorhub-mcp
env:
FACTORHUB_API_KEY: "fh_你的密钥"
方式三:通过 Smithery 安装
在 Smithery 一键安装,自动配置到你的 AI 客户端。
使用示例
配置完成后,直接对你的 AI 助手说:
- "查看 FactorHub 有哪些因子"
- "获取动量因子的历史表现"
- "帮我查一下贵州茅台最近一年的行情"
- "用低估值策略回测沪深300成分股"
- "对比动量因子和价值因子的夏普比率"
也可以在对话中设置自己的 Key 来获得更多额度:
- "用我的 API Key fh_xxx 登录 FactorHub"
定价
| 方案 | API 调用/天 | 回测/天 | 价格 |
|---|---|---|---|
| Free | 20 | 3 | ¥0 |
| Pro | 10,000 | 20 | ¥99/月 |
| Pro Max | 40,000 | 100 | ¥199/月 |
| Ultra | 不限 | 不限 | ¥899/月 |
升级方案:factorhub.cn/pricing
架构
本 MCP 服务器是一个轻量客户端,通过 HTTPS 调用 FactorHub 公开 API,不直接访问数据库,不包含任何私有逻辑。
AI 助手 → MCP 协议 → factorhub-mcp → HTTPS → factorhub.cn/api/v1
安全
- API Key 存储在环境变量中,不会硬编码
- 所有通信使用 HTTPS 加密
- 本地不存储任何用户数据
- 服务端强制频率限制
<a id="english"></a>
English
China A-share market data for AI agents. Query factor scores, market quotes, valuations, and run strategy backtests — all through the Model Context Protocol (MCP).
Features
| Tool | Description |
|---|---|
set_api_key |
Set your API key (optional, defaults to free trial quota) |
list_factors |
List factors with category/search filters |
get_factor_scores |
Factor metrics: annual return, Sharpe, max drawdown, IC, etc. |
get_factor_nav |
Factor NAV curve for trend analysis |
get_market_daily |
Stock daily OHLCV data |
get_index_daily |
Index daily data (SSE, CSI 300, CSI 500, etc.) |
get_valuation |
Valuation metrics: PE, PB, PS, dividend yield |
get_stock_info |
Stock basic info |
get_stock_list |
Stock screening by exchange/industry |
get_trade_dates |
Trading calendar |
run_backtest |
Strategy backtesting |
Quick Start
Option 1: Try Free (No Registration)
Use the hosted server directly — no API key needed, includes free trial quota (10 calls/day).
Claude Desktop — add to claude_desktop_config.json:
{
"mcpServers": {
"factorhub": {
"command": "npx",
"args": ["-y", "@smithery/cli@latest", "run", "factorhub"]
}
}
}
Or connect directly via SSE:
https://factorhub.cn/mcp/sse
Option 2: Install with Your API Key
For higher quotas, register at factorhub.cn and get your API key at the API Keys page.
pip install factorhub-mcp
Claude Desktop — add to claude_desktop_config.json:
{
"mcpServers": {
"factorhub": {
"command": "factorhub-mcp",
"env": {
"FACTORHUB_API_KEY": "fh_your_api_key_here"
}
}
}
}
Cursor — add to .cursor/mcp.json (same format as above).
Claude Code — run:
claude mcp add factorhub -- env FACTORHUB_API_KEY=fh_your_api_key_here factorhub-mcp
OpenClaw — add to your skill config:
providers:
factorhub:
type: mcp
command: factorhub-mcp
env:
FACTORHUB_API_KEY: "fh_your_api_key_here"
Option 3: Smithery
Install via Smithery for automatic setup with any MCP client.
Usage Examples
Once configured, ask your AI assistant:
- "List all available factors on FactorHub"
- "Show momentum factor performance"
- "Get Kweichow Moutai stock data for the past year"
- "Backtest a low-valuation strategy on CSI 300"
- "Compare Sharpe ratios of momentum vs value factors"
Set your own API key mid-conversation for higher quotas:
- "Set my FactorHub API key to fh_xxx"
Pricing
| Plan | API Calls/Day | Backtest/Day | Price |
|---|---|---|---|
| Free | 20 | 3 | ¥0 |
| Pro | 10,000 | 20 | ¥99/mo |
| Pro Max | 40,000 | 100 | ¥199/mo |
| Ultra | Unlimited | Unlimited | ¥899/mo |
Upgrade at factorhub.cn/pricing.
Architecture
This MCP server is a thin client that calls the FactorHub public API. It does not access any database directly or contain proprietary logic.
AI Agent → MCP Protocol → factorhub-mcp → HTTPS → factorhub.cn/api/v1
Security
- API key is stored in environment variables, never hardcoded
- All communication uses HTTPS
- No user data is stored locally
- Rate limiting is enforced server-side
License
MIT
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