MCP.Market

Quanttogo MCP server

by michaeljiangmingfeng-debug·io.github.michaeljiangmingfeng-debug/quanttogo-mcp·v0.1.2·9 stars

Quantitative trading strategies, market indices, and live performance data

A91/100grade A
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Safety scan
A91/100

full report

Adoption
Growing

9 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

Quanttogo tools (4)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • compare_strategies

    Compare multiple QuantToGo strategies side-by-side. Returns a comparison table of key metrics (return, drawdown, recent performance) for the specified strategy IDs.

  • get_index_data

    Get QuantToGo custom market indices: DA-MOMENTUM (China A-share momentum index based on CSI300/ChiNext) or QTG-MOMENTUM (QuantToGo strategy-weighted momentum index). Returns latest value, daily change, and historical data.

  • get_strategy_performance

    Get detailed performance data for a specific QuantToGo strategy, including daily NAV history (net asset value) for charting. Use productId from list_strategies.

  • list_strategies

    List all quantitative trading strategies on QuantToGo with live-tracked performance metrics. Returns strategy name, market (US/China), total return, max drawdown, and recent returns.

Public scan report

scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it

no findings
  • Code scan4 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 7 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Quanttogo compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
91/100
higher than 85% of 48,255 servers
Tools
4
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
9
more than 87% of 28,688 servers

What its tools let an agent do: 4 read

Install Quanttogo in Claude Code, Cursor or VS Code

Runs npx -y quanttogo-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add quanttogo-mcp -- npx -y quanttogo-mcp
Add to Cursor

What the publisher says

From the Quanttogo repository's README, as published. We do not edit it. Read it on GitHub

QuantToGo MCP — 宏观因子量化信号源

English | 中文

A macro-factor quantitative signal source accessible via MCP (Model Context Protocol). 8 tools, 1 resource, zero config. AI Agents can self-register for a free trial, query live trading signals, and check subscription status — all within the conversation. All performance is forward-tracked from live signals — not backtested.

QuantToGo is not a trading platform, not an asset manager, not a copy-trading community. It is a quantitative signal source — like a weather forecast for financial markets. We publish systematic trading signals based on macroeconomic factors; you decide whether to act on them, in your own brokerage account.

📊 Live Strategy Performance

<!-- PERFORMANCETABLESTART -->

Last updated: 2026-09-21 · Auto-updated weekly via GitHub Actions · Verify in git history

<!-- PERFORMANCETABLEEND -->

All returns are cumulative since inception. Forward-tracked daily — every signal is timestamped at the moment it's published, immutable, including all losses and drawdowns. Git commit history provides an independent audit trail.

What is a Quantitative Signal Source?

Most quantitative services fall into three categories: self-build platforms (high technical barrier), asset management (you hand over your money), or copy-trading communities (unverifiable, opaque). A signal source is the fourth paradigm:

  • A quant team runs strategy models and publishes trading signals
  • You receive the signals and decide independently whether to act
  • You execute in your own brokerage account — we never touch your funds
  • All historical signals are forward-tracked with timestamps — fully auditable

Think of it as a weather forecast: it tells you there's an 80% chance of rain tomorrow. Whether you bring an umbrella is your decision.

How to evaluate any signal source — the QTGS Framework:

Quick Start

Claude Desktop / Claude Code

{
  "mcpServers": {
    "quanttogo": {
      "command": "npx",
      "args": ["-y", "quanttogo-mcp"]
    }
  }
}

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "quanttogo": {
      "command": "npx",
      "args": ["-y", "quanttogo-mcp"]
    }
  }
}

Coze(扣子)/ Remote SSE

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Quanttogo: common questions

Is Quanttogo MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the Quanttogo safety report
How do I install Quanttogo?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Quanttogo need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Quanttogo maintained?
The last commit was 44 days ago (2026-09-21). The latest release is v0.1.2.
What can I use instead of Quanttogo?
Servers from other publishers that do the same job: CCXT MCP server.
How does Quanttogo compare with other MCP servers?
safety score 91/100 (higher than 85% of 48,255 servers); tools 4 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Quanttogo

Same job from other publishers: the closest match first, then the best rated.

  • CCXT
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