QualityScreener

Created By

Quality Screener4 days 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.

# finance

# investing

Overview Content Tools Comments

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"
    }
  }
}

Project Info

Created At

4 days ago

Updated At

4 days ago

Author Name

Quality Screener

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