What data does QualityScreener use?
Scores are computed on live fundamentals from the QualityScreener platform, not generated by the AI model. Re‑querying tomorrow reflects the latest data.

@quality-screener
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"qscreener": {
"type": "streamable-http",
"url": "https://mcp.qualityscreener.io/mcp"
}
}
}** `screen_share` (public, content-addressed link)
QualityScreener gives your AI a live fundamental-data engine that scores and ranks 40,000+ global equities on returns, profitability, growth, margins, cash generation, and balance-sheet strength. Every result is a real, verifiable name with a real score — no hallucinated tickers.
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.
Scores are computed on live fundamentals from the QualityScreener platform, not generated by the AI model. Re‑querying tomorrow reflects the latest data.
Most assistants invent tickers. QualityScreener returns real, verifiable names with real scores — no hallucination. Every result is reproducible.
Yes, a free QualityScreener account is required. OAuth sign‑in opens on first use; afterwards the agent stays connected.
The server is hosted. Point your MCP client to `https://mcp.qualityscreener.io/mcp` (streamable‑HTTP transport). No local installation needed.
Tools cover screening (`scores_top`, `scores_list`, `scores_show`, `score_compute`), filters and tickers, score history, saved scoring systems (CRUD + apply), sharing (`screen_share`), and account/status endpoints.
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