QuantToGo MCP — Macro Factor Quantitative Signal Source
@QuantToGo
About QuantToGo MCP — Macro Factor Quantitative Signal Source
A macro-factor quantitative signal source accessible via MCP. 8 transparent, auditable strategies spanning China A-shares, offshore RMB, US tech, and retail sentiment. Built on persistent macro factors (capital flows, behavioral incentives, regulatory boundaries), not ML pattern
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"quanttogo": {
"command": "npx",
"args": [
"quanttogo-mcp"
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is QuantToGo MCP — Macro Factor Quantitative Signal Source?
A macro-factor quantitative signal source accessible via the Model Context Protocol (MCP). It provides 8 tools and 1 resource for AI agents to discover strategies, register for a free trial, query live trading signals, and check subscription status—all within the conversation. All performance shown is forward-tracked from live signals, not backtested. QuantToGo is not a trading platform, asset manager, or copy-trading community; it is a quantitative signal source that publishes systematic trading signals based on macroeconomic factors.
How to use QuantToGo MCP — Macro Factor Quantitative Signal Source?
Install and configure the server by adding a JSON block to your MCP client (Claude Desktop, Cursor, Coze, or any Streamable HTTP client). For local execution use "command": "npx", "args": ["-y", "quanttogo-mcp"]. For remote access use the SSE URL https://mcp.quanttogo.com/sse or Streamable HTTP endpoint https://mcp-us.quanttogo.com:8443/mcp. No additional configuration is required; AI agents can immediately call tools like list_strategies, register_trial, and get_signals.
Key features of QuantToGo MCP — Macro Factor Quantitative Signal Source
- Quantitative signal source with 8 MCP tools and 1 resource
- Macrofactor-driven strategies (sentiment, FX, trend, liquidity)
- Zero configuration setup for AI agents
- Live forward-tracked, auditable performance (not backtested)
- Free 30-day trial with instant API key via email
- Supports both local (npx) and remote (SSE/HTTP) transports
- Strategies focus on ETF/futures to avoid individual stock risk
Use cases of QuantToGo MCP — Macro Factor Quantitative Signal Source
- AI assistants can discover and compare the live performance of all strategies
- Users can register for a free trial and receive trading signals within the chat
- Check remaining trial days and subscription status interactively
- Obtain the latest buy/sell signals for a specific strategy in real time
- Evaluate multiple strategies side-by-side using a quantitative framework
FAQ from QuantToGo MCP — Macro Factor Quantitative Signal Source
How is QuantToGo different from a trading platform or asset manager?
QuantToGo is a signal source—like a weather forecast for financial markets. It publishes trading signals; you decide whether to act in your own brokerage account. It never touches your funds.
What are the runtime requirements?
The MCP server runs via npx (Node.js required) for local setups, or connects remotely via SSE/Streamable HTTP. No other dependencies are needed.
Where do the signals and performance data live?
All signals are published on QuantToGo’s servers and are immutable—timestamped at publication. Performance is forward-tracked and auditable through GitHub commit history.
Is there a free trial? How do I get an API key?
Yes, a 30-day free trial is available. Use the register_trial tool with your email to get an API key instantly. The key is required for signal tools.
What transports and authentication are supported?
Supports local stdio (via npx) and remote SSE (URL: https://mcp.quanttogo.com/sse) and Streamable HTTP (https://mcp-us.quanttogo.com:8443/mcp). No auth is needed for discovery tools; signals require an API key obtained via trial registration.
More Other MCP servers
Inbox Zero AI MCP
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.
AutoBrowser MCP
autobrowser-aiBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
MaxKB
1Panel-dev🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Activepieces
activepiecesAI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.
Comments