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michaeljiangmingfeng-debug

quanttogo-mcp-servers

by michaeljiangmingfeng-debug
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JavaScript
Remote

QuantToGo MCP Servers

MCP (Model Context Protocol) servers for QuantToGo - a quantitative trading platform providing live trading signals, market data, and portfolio management through AI-native interfaces.

Overview

This repository contains three MCP servers that expose QuantToGo's quantitative trading capabilities:

Server

Description

Tools

quanttogo-signals

Real-time trading signals from live quant strategies

3 tools

quanttogo-market-data

Product catalog, NAV history, backtest reports

5 tools

quanttogo-portfolio

Portfolio positions, dual-track performance, trade history

6 tools

Plus an HTTP server for remote access (MCP Connector mode).

Quick Start

Installation

npm install quanttogo-mcp-servers

Or clone and build:

git clone https://github.com/michaeljiangmingfeng-debug/quanttogo-mcp-servers.git
cd quanttogo-mcp-servers
npm install
npm run build

Configuration

Set environment variables:

export QUANTTOGO_API_BASE="https://www.quanttogo.com"  # API endpoint
export QUANTTOGO_API_KEY="your-api-key"                 # API authentication key
export QUANTTOGO_USER_ID="your-user-id"                 # Your user ID

Usage with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "quanttogo-signals": {
      "command": "npx",
      "args": ["tsx", "src/signals-server.ts"],
      "cwd": "/path/to/quanttogo-mcp-servers",
      "env": {
        "QUANTTOGO_API_KEY": "your-api-key",
        "QUANTTOGO_USER_ID": "your-user-id"
      }
    },
    "quanttogo-market-data": {
      "command": "npx",
      "args": ["tsx", "src/market-data-server.ts"],
      "cwd": "/path/to/quanttogo-mcp-servers",
      "env": {
        "QUANTTOGO_API_KEY": "your-api-key"
      }
    },
    "quanttogo-portfolio": {
      "command": "npx",
      "args": ["tsx", "src/portfolio-server.ts"],
      "cwd": "/path/to/quanttogo-mcp-servers",
      "env": {
        "QUANTTOGO_API_KEY": "your-api-key",
        "QUANTTOGO_USER_ID": "your-user-id"
      }
    }
  }
}

Remote HTTP Mode (Connector)

For remote access via Streamable HTTP:

npm run serve
# Server starts at http://localhost:3000/mcp

Available Tools

Signals Server (quanttogo-signals)

Tool

Description

get_trading_signals

Get latest BUY/SELL signals with strategy, symbol, quantity, price

confirm_signal

Execute or skip a pending signal

get_signal_stats

Signal performance metrics and win rate

Market Data Server (quanttogo-market-data)

Tool

Description

get_products

List all quantitative trading products

get_product_detail

Detailed product info with parameters

get_nav_history

Historical NAV data with daily returns

get_backtest_report

Strategy backtest with Sharpe ratio, drawdown

search_products

Search by risk level, currency, strategy type

Portfolio Server (quanttogo-portfolio)

Tool

Description

get_portfolio

Complete portfolio overview

get_dual_track_comparison

AUTO vs MANUAL track performance comparison

get_positions

Current open positions across strategies

get_trade_history

Historical trade records

get_subscriptions

User subscription status

get_performance_metrics

Return, drawdown, Sharpe ratio, win rate

Architecture

quanttogo-mcp-servers/
├── src/
│   ├── common/
│   │   ├── client.ts          # QuantToGo API client
│   │   └── types.ts           # Shared TypeScript types
│   ├── signals-server.ts      # Signals MCP Server (stdio)
│   ├── market-data-server.ts  # Market Data MCP Server (stdio)
│   ├── portfolio-server.ts    # Portfolio MCP Server (stdio)
│   └── http-server.ts         # Combined HTTP server (Connector mode)
├── package.json
├── tsconfig.json
├── glama.json
├── LICENSE
└── README.md

Key Concepts

Dual-Track System

QuantToGo uses a unique dual-track system:

  • AUTO track: All signals are automatically executed (virtual trading)

  • MANUAL track: Only user-confirmed signals are executed

This allows users to compare their decision-making against the algorithm's full execution.

Signal Sources

Signals come from two quantitative platforms:

  • QC (QuantConnect): US market strategies

  • JQ (JoinQuant): China market strategies

Development

# Run individual servers in dev mode
npm run dev:signals
npm run dev:market-data
npm run dev:portfolio

# Run HTTP server
npm run serve

# Build for production
npm run build

License

MIT

Install Server
A
security – no known vulnerabilities
A
license - permissive license
B
quality - B tier

How are these scores calculated?

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