QualityScreener
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."
Links
- Website: https://qualityscreener.io
- Source: https://github.com/quality-screener/quality-screener-mcp-server
- License: MIT
Server Config
{
"mcpServers": {
"qscreener": {
"type": "streamable-http",
"url": "https://mcp.qualityscreener.io/mcp"
}
}
}Project Info
Created At
4 days agoUpdated At
4 days agoAuthor Name
Quality ScreenerStar
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