QualityScreener

by quality-screener

297 downloads
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About

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.

Details

Author
quality-screener
Downloads
297
Categories
Other, Finance

- Real fundamental data – zero AI fabrication; scores update with latest filings.
- Screen any universe by country, sector, industry, exchange, currency, and market cap.
- Rank results on a custom-weighted quality blend.
- Read per-company numbers: ROIC, ROE, margins, earnings stability, valuation.
- Build, save, and reuse scoring systems across markets.
- Track ticker quality-score history and mint shareable, content‑addressed links.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name QualityScreener
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Point your MCP client at the hosted server (streamable-http, URL https://mcp.qualityscreener.io/mcp). On first use, a browser OAuth sign-in opens (requires a free QualityScreener account); after that the agent stays connected.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

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. ``json { "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
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