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Mcp MCP Server

Developer ToolsLow Risk10.0MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

Live S&P 500 quantum-model signals, forecasts and trade plans. Educational, not financial advice.

About

Live S&P 500 quantum-model signals, forecasts and trade plans. Educational, not financial advice.

Remote endpoints: streamable-http: https://quantustik.com/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). 1 code issue detected. No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.

24 tools verified · Open access · 2 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

Shell Command Execution

Runs commands on your machine. Be cautious — only use if you trust this plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

What You'll Need

Set these up before or after installing:

Optional. Sent as "Authorization: Bearer <key>" to raise quota above the anonymous per-IP hourly cap. Get a free key at https://quantustik.com/developers.Required

Environment variable: QUANTUSTIK_API_KEY

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

Quantustik MCP server — quantum-model S&P 500 analytics

Quantustik is a risk-first market-intelligence layer for humans and AI agents — calibrated probabilistic forecasts, transparent track records, and machine-readable decision support through REST and MCP. It forecasts S&P 500 price paths with a quantum-mechanics model (the Schrödinger equation and Feynman path integrals), layers a machine-learning classifier and a market-conditions read on top, and turns the result into risk-first BUY / WAIT / AVOID / EXIT signals — each with entry price, stop-loss, take-profit ladder and position sizing, plus calibrated 90% confidence bands and a live, auditable track record that includes the losses.

What the analysis gives you, per ticker and for the whole index:

  • a signal with the full trade plan behind it (only actionable at ≥2:1 reward-to-risk), and a two-sided explanation of why the model made the call;
  • multi-horizon price forecasts (1mo / 3mo / 6mo / 1y) with measured, published calibration — never a bare point estimate;
  • whole-universe scans (conviction / direction / sector filters), a risk-vetted shortlist of asymmetric setups, market conditions and an overheating gauge, backtests, fundamentals, dividends and more — 24 tools in total.

Who it is for: AI agents and their users doing market research — analysts, self-directed investors, and anyone who wants honest, uncertainty-explicit market context inside Claude, Cursor, ChatGPT or any other MCP client. Bullish calls are deliberately rare and earned: the model prefers saying WAIT to flattering you.

Educational research only — not investment advice. Nothing here is a recommendation to buy or sell any security. Calibration is measured, not guaranteed; past model performance does not predict future results.

What this package is

A thin stdio proxy to Quantustik's hosted MCP server. It lets MCP clients that only support local stdio servers (Claude Desktop, Cursor, Windsurf, and others) reach the live, keyless, streamable-HTTP endpoint at https://quantustik.com/mcp.

This package does not implement an MCP server itself, run any model locally, or cache any data. It is a small wrapper around mcp-remote pointed at our hosted endpoint. Every tool call is forwarded live to quantustik.com and answered from the same data and quota system as the hosted endpoint.

If your MCP client supports remote streamable-HTTP servers directly, you don't need this package at all — just point it at https://quantustik.com/mcp. This wrapper exists only for stdio-only clients.

The full tool catalog lives at quantustik.com/developers.

Usage

Claude Desktop / Cursor / Windsurf

Add to your MCP client config (e.g. claude_desktop_config.json):

{
  "mcpServers": {
    "quantustik": {
      "command": "npx",
      "args": ["-y", "@quantustik/mcp-server"]
    }
  }
}

Command line

npx -y @quantustik/mcp-server

This starts a local stdio MCP server that proxies to https://quantustik.com/mcp. Anonymous use is allowed under a per-IP hourly quota; no setup required.

Optional: raise your quota with an API key

Get a free key at quantustik.com/developers, then set it as an environment variable:

{
  "mcpServers": {
    "quantustik": {
      "command": "npx",
      "args": ["-y", "@quantustik/mcp-server"],
      "env": {
        "QUANTUSTIK_API_KEY": "your-key-here"
      }
    }
  }
}

Environment variables

VariablePurposeDefault
QUANTUSTIK_API_KEYSent as Authorization: Bearer <key> to raise the anonymous per-IP hourly quota.none (anonymous)
QUANTUSTIK_MCP_URLOverride the remote endpoint (mainly for local development against a non-production instance).https://quantustik.com/mcp

Any additional CLI arguments you pass are forwarded to the underlying mcp-remote proxy (e.g. --debug).

How it works

npx @quantustik/mcp-server runs a small Node script (bin/quantustik-mcp.js) that spawns mcp-remote against https://quantustik.com/mcp using the http-only transport (our endpoint is streamable-HTTP, not SSE). mcp-remote speaks stdio to your MCP client on one side and streamable-HTTP to our server on the other — this package just pins the URL, transport, and optional auth header so you don't have to remember them.

Source

Server implementation (Python, FastMCP): the hosted endpoint's source lives in mcplafed/autoevolve (app/mcp_server.py, server.json). This wrapper repo only contains the thin npm client shown above.

Disclaimer

All signals, forecasts, and market data returned by the Quantustik MCP server are for educational and research purposes only and do not constitute personalized financial advice. Past model performance does not guarantee future results. Always consult a qualified financial professional before making investment decisions.

License

MIT — see LICENSE.

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