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QualityScreener

Created By
Quality Screenera month ago
Score and screen 40,000+ global stocks on real fundamentals — quality, value, growth — right inside your AI. Returns real ranked names with quality scores from live data (no made-up tickers), builds custom scoring systems, and mints shareable screener links.
Overview

QualityScreener MCP

Give your AI a real stock-screening engine — not a guess. Most assistants will happily invent "stock picks." QualityScreener won't: it connects your AI to a live fundamental-data engine that scores and ranks 40,000+ global equities on returns on capital, profitability, growth, margins, cash generation and balance-sheet strength. Every result is a real, verifiable name with a real score — no hallucinated tickers.

Why it's different

  • Real data, zero fabrication. Scores are computed on live fundamentals from the QualityScreener platform, not generated by the model. Ask again tomorrow and the numbers reflect the latest data.
  • Acts as you. Connect once via OAuth; the agent works against the same universe and scores you see in the web dashboard.
  • Reproducible & shareable. Any screen can be turned into a public, content-addressed link you can drop in a post, report, or DM.

What you can do

  • Screen any universe — filter by country, sector, industry, exchange, currency and market cap, then rank it on a custom-weighted quality blend.
  • Read the numbers behind each name — ROIC, ROE, gross/operating/FCF margins, earnings stability, valuation and more.
  • Build and save reusable scoring systems, then apply them across markets.
  • Track a ticker's quality-score history over time.
  • Mint a shareable link to any screen.

Quick start

Point your MCP client at the hosted server. On first use, a browser sign-in opens once (you need a free QualityScreener account); after that the agent stays connected.

{
  "mcpServers": {
    "qscreener": {
      "type": "streamable-http",
      "url": "https://mcp.qualityscreener.io/mcp"
    }
  }
}

Tools

  • Scores & screening: scores_top, scores_list, scores_show, scores_statistics, scores_market_cap, score_compute
  • Sharing: screen_share (public, content-addressed link)
  • Filters & tickers: filters_list, tickers_list, tickers_search
  • Score history: history_ticker, history_batch, history_top
  • Saved scoring systems: systems_list, systems_show, systems_create, systems_update, systems_delete, systems_apply
  • Account & status: auth_status, account_profile, health

Try asking

  • "Find the highest-quality software companies over $10B, ranked on returns and margins."
  • "Rank Japan's $10B+ companies on quality and show ROIC and gross margin."
  • "Build a scoring system that weights balance-sheet strength higher, then apply it to India."
  • "Give me a shareable link to that screen."

Server Config

{
  "mcpServers": {
    "qscreener": {
      "type": "streamable-http",
      "url": "https://mcp.qualityscreener.io/mcp"
    }
  }
}
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