MCP.Market

QuantToGo 说法百科 MCP server

online · 100% uptime
by quanttogo.com·com.quanttogo/quanttogo-mcp·v1.0.2·9 stars

QuantToGo 说法百科的 MCP 服务:A 股持仓风险读数、持有理由核对、每天替你盯着的风控单。

A91/100grade A
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9 stars

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QuantToGo 说法百科 tools

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How QuantToGo 说法百科 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
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
2,404 ms
faster than 4% of 30,031 servers
GitHub stars
9
more than 87% of 28,688 servers

Release history: 3 versions in the registry since 2026-03-15, latest 2026-10-25, typically one every 224 days.

Install QuantToGo 说法百科 in Claude Code, Cursor or VS Code

claude mcp add --transport http quanttogo-mcp https://mcp.quanttogo.com/v2
Add to Cursor

What the publisher says

From the QuantToGo 说法百科 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 说法百科: common questions

Is QuantToGo 说法百科 MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the QuantToGo 说法百科 safety report
How do I install QuantToGo 说法百科?
It runs remotely at mcp.quanttogo.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does QuantToGo 说法百科 need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is QuantToGo 说法百科 maintained?
The last commit was 44 days ago (2026-09-21). The latest release is v1.0.2.
Is QuantToGo 说法百科 up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does QuantToGo 说法百科 compare with other MCP servers?
safety score 91/100 (higher than 85% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 2,404 ms (faster than 4% of 30,031 servers). Full comparison.