Quanttogo Mcp
Pull macro-factor quantitative signals for US and China equities into an MCP agent while researching markets or validating a fintech angle.
Overview
QuantToGo MCP is an MCP server for the Idea phase that supplies macro-factor quantitative signals for US and China stock markets to agents via stdio.
What is this MCP server?
- Macro-factor quantitative signal source for US and China stock markets
- npm package quanttogo-mcp v0.2.2 with stdio MCP transport
- Installable from GitHub repository QuantToGo/quanttogo-mcp
- stdio transport suited to local agent runs alongside Claude Code or Cursor
- Finance-oriented data feed exposed as MCP tools for agents
- Package version: 0.2.2
- Transport: stdio
- Registry type: npm (identifier quanttogo-mcp)
What problem does it solve?
Agents lack a simple MCP-native way to pull consistent macro quantitative signals for both US and China markets during early research.
Who is it for?
Indie builders and analysts prototyping AI-assisted market research workflows who want MCP stdio integration with QuantToGo signals.
Skip if: Regulated production trading, compliance-critical execution, or teams that need vendor guarantees beyond what the open-source MCP package documents.
What do I get? / Deliverables
After install, your agent can call QuantToGo tools locally over stdio while you research or validate finance-related product ideas.
- Local stdio MCP server exposing QuantToGo macro signals
- Agent-callable market research tools for US and China contexts
Recommended MCP Servers
Journey fit
Macro market signals support opportunity research and thesis checks before you commit to building trading tools, dashboards, or finance-adjacent products. QuantToGo fits the research subphase where builders compare macro context across US and China listings rather than shipping production execution logic.
How it compares
Macro quantitative signal MCP over stdio, not a general web-scraping skill or a hosted portfolio dashboard product.
Common Questions / FAQ
Who is com.quanttogo/quanttogo-mcp for?
Solo builders and developers using MCP agents who research US and China equities and want macro-factor signals without custom data glue.
When should I use com.quanttogo/quanttogo-mcp?
Use it in the idea and research phase when validating fintech concepts, newsletters, or analytics features that need macro quantitative context.
How do I add com.quanttogo/quanttogo-mcp to my agent?
Install the npm package quanttogo-mcp (v0.2.2), configure stdio MCP in your client pointing at that server, following QuantToGo/quanttogo-mcp on GitHub.