I Built an MCP Server That Gives AI Agents Real A-Share Quant Power — Here's How
Give Claude Code and Cursor access to professional-grade China A-stock analysis. Factor scoring, industry chains, and live trading signals — all through MCP.
tl;dr: npx opc-a-stock-mcp → 3 MCP tools → instant quant analysis for any A-stock. Pro edition with 30-factor model coming soon.
The Problem: AI Agents Are Blind to A-Shares
Ask Claude Code "should I buy this stock?" and it'll give you a disclaimer. Cursor has no idea what a stock score is. These tools are incredible for coding, but they're missing the entire Chinese equity market.
As a quant developer running a live A-share trading system, I wanted my AI agents to have the same analytical power I use daily. So I built an MCP server.
What It Does
// Ask: "Score 中际旭创"
{
"symbol": "300308",
"score": 72,
"signal": "STRONG_BUY",
"factor_breakdown": {
"trend": 18, "momentum": 15, "volume": 12,
"rsi": 8, "fundamentals": 14, "macro": 5
}
}
Three tools, zero fluff:
| Tool | What It Returns |
|---|---|
get_stock_score | 0-100 composite score + signal + factor breakdown |
get_industry_chain | Complete upstream→downstream mapping for 6 chains, 80+ stocks |
get_daily_signals | Buy/sell list with confidence scores + market conditions |
The Factor Engine
Community edition runs a 10-factor model. The Pro edition (launching soon) runs the full 30-factor V10 engine — the same one driving a live trading desk.
Try It
npx opc-a-stock-mcp
Then add to your Claude Code/Cursor MCP config. Full docs:
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