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276,925 tools. Last updated 2026-07-09 06:34

"namespace:io.github.quality-screener" matching MCP tools:

  • Stock prices, earnings, revenue, P/E, dividends, filings, screener, comparisons Run a SQL query against 64 years of US stock market data. REQUIRES calling get_database_schema then get_query_patterns first (in that order). This tool has no schema or query patterns built in. Call get_database_schema once, then get_query_patterns once, then use this tool. Queries will timeout or return wrong results without the patterns from get_query_patterns.
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  • Browse and sort Polymarket markets, events, or categories. **When to use:** - Broad discovery, screening, and ranked browsing across many markets. - Do NOT use this to resolve one named market/event/slug/URL — use `prediction_market_lookup` instead. **Query tips:** - Literal-style matching on text and slugs, not fuzzy web search. - Prefer one short topic or slug fragment (e.g. `fed cuts`, `zelensky`, `ncaa tournament`). - Do not bundle unrelated topics (e.g. `bitcoin ethereum politics weather`). If a broad question spans several topics, run separate screener queries for each. - If a query returns no rows, do not invent a nearest match — try a narrower topic or say no data was returned. **Output rules:** - Superlatives (highest, leading, biggest, top, trending) must match the shown metric exactly. - Do not infer end dates, rankings, or category leadership from titles alone.
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  • Browse and sort Polymarket markets, events, or categories. **When to use:** - Broad discovery, screening, and ranked browsing across many markets. - Do NOT use this to resolve one named market/event/slug/URL — use `prediction_market_lookup` instead. **Query tips:** - Literal-style matching on text and slugs, not fuzzy web search. - Prefer one short topic or slug fragment (e.g. `fed cuts`, `zelensky`, `ncaa tournament`). - Do not bundle unrelated topics (e.g. `bitcoin ethereum politics weather`). If a broad question spans several topics, run separate screener queries for each. - If a query returns no rows, do not invent a nearest match — try a narrower topic or say no data was returned. **Output rules:** - Superlatives (highest, leading, biggest, top, trending) must match the shown metric exactly. - Do not infer end dates, rankings, or category leadership from titles alone.
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  • AI-screened stock ideas actively flagged by the Stocklake pipeline. These are stocks the pipeline's AI agents have identified as worth attention — sourced from news analysis, sector screening, and sentiment signals. Parameters: - direction: "LONG" | "SHORT" | "BOTH" (default: all) - min_conviction: minimum conviction score 0-10 (default 7) - min_flag_score: minimum flag score 0-10 (default 8; 9+ = high conviction) - source: filter by signal source — "news" | "screener" | "sentiment" (default: all) - limit: max results to return (default 25, max 50) Returns: - count: number of ideas returned - ideas[]: each with symbol, direction, conviction (0-10), confidence (0-10), flag_score (0-10), source, rationale, expires - Note: ideas expire daily — active ideas represent the pipeline's current view. Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.
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  • Scan US stocks, ETFs, and crypto for tickers currently in a given regime or showing a chart/candlestick pattern, RANKED by the honest backtested base rate + 95% CI — discovery, NOT lookup. This is the screener: instead of asking about one ticker you already know, ask "which tickers right now are in an uptrend / printing a double_bottom, and which of those has the strongest historical base rate?" and get a ranked shortlist back. Precomputed daily over a curated universe (liquid US large-caps + core/sector ETFs + major crypto pairs) so it is fast and cheap. Filters (all optional): assetClass ("stock"|"crypto"|"all"), regime ("up"|"down"|"range"), pattern (e.g. "double_bottom","double_top","head_and_shoulders","bullish_engulfing","bearish_engulfing","hammer"), minBaseRate (0..1, drop tickers whose top pattern base rate is below this), limit. Each row: {sym, assetClass, regime, pattern, baseRate, ci95, n, scope, confidence}, ranked by baseRate desc then confidence. WHEN: an agent wants to FIND candidates across the market, not analyze a named one (then call brief on the shortlist). WHEN NOT: you already have a specific ticker (use brief). Example: {"assetClass":"all","regime":"up","minBaseRate":0.55,"limit":20}. Impersonal historical data, not investment advice; base rates are gross directional frequencies and do not guarantee future results.
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  • Power screener — filter stocks by technicals, fundamentals, and AI signals. More capable than search_stocks: exact RSI bounds, MACD/SMA filters, presets, and AI fields. Parameters: - sector: e.g. "Technology", "Healthcare", "Financial Services" - min_rsi / max_rsi: exact RSI bounds (e.g. min_rsi=30, max_rsi=50 = post-oversold recovery zone) - sma_trend: "above_200" (price above 200-day MA) | "below_200" - macd_signal: "bullish" (MACD line above signal) | "bearish" - min_perf_1d / max_perf_1d: 1-day performance % (e.g. min_perf_1d=2.0 = up 2%+ today) - min_market_cap_b / max_market_cap_b: market cap in billions - max_pe_forward: maximum forward P/E (e.g. 20 = value screen) - min_flag_score: minimum AI flag score 0-10 (pro tier only — silently ignored for free) - preset: "oversold" | "overbought" | "momentum" | "high_conviction" (pro only) oversold = RSI≤35 + above SMA200 · overbought = RSI≥65 momentum = RSI 50-70, above SMA200, up 0.5%+ today · high_conviction = flag_score≥7 - sort_by: "market_cap" | "rsi" | "perf_1d" | "analyst_rating" | "flag_score" (pro) - sort_dir: "asc" | "desc" (default "desc") - limit: 1–50 (default 20) Pro tier: adds flag_score + ai_verdict to every result row, enables min_flag_score filter and high_conviction preset. All other filters available to all tiers.
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Matching MCP Servers

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    MCP server that provides access to screener.in financial data for Indian stocks, enabling queries for company info, financials, ratios, quarterly results, shareholding, and stock screening.
    Last updated
    MIT
  • F
    license
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    quality
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    maintenance
    Provides financial data for Indian listed companies from screener.in, enabling users to search companies and fetch financial statements, ratios, and peer comparisons.
    Last updated
    1

Matching MCP Connectors

  • Screen expired domains: availability, drop stage, history, brandability, trademark risk.

  • Screen and score stocks with the Quality Screener engine: filters, custom scores, and history.

  • Curated tier-1 / tier-2 symbol directory of symbols kept pre-warmed in the screener. Use to discover which symbols have guaranteed-warm data, check coverage before subscribing, or enumerate the tracked universe for cross-sectional scans.
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  • Free-text search across all DEX Screener chains for trading pairs matching a token name, symbol, or address. Returns up to 30 pairs with price USD, liquidity, 24h volume, and chain/DEX info.
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  • Stock prices, earnings, revenue, P/E, dividends, filings, screener, comparisons Run a SQL query against 64 years of US stock market data. REQUIRES calling get_database_schema then get_query_patterns first (in that order). This tool has no schema or query patterns built in. Call get_database_schema once, then get_query_patterns once, then use this tool. Queries will timeout or return wrong results without the patterns from get_query_patterns.
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  • Power screener — filter stocks by technicals, fundamentals, and AI signals. More capable than search_stocks: exact RSI bounds, MACD/SMA filters, presets, and AI fields. Parameters: - sector: e.g. "Technology", "Healthcare", "Financial Services" - min_rsi / max_rsi: exact RSI bounds (e.g. min_rsi=30, max_rsi=50 = post-oversold recovery zone) - sma_trend: "above_200" (price above 200-day MA) | "below_200" - macd_signal: "bullish" (MACD line above signal) | "bearish" - min_perf_1d / max_perf_1d: 1-day performance % (e.g. min_perf_1d=2.0 = up 2%+ today) - min_market_cap_b / max_market_cap_b: market cap in billions - max_pe_forward: maximum forward P/E (e.g. 20 = value screen) - min_flag_score: minimum AI flag score 0-10 (pro tier only — silently ignored for free) - preset: "oversold" | "overbought" | "momentum" | "high_conviction" (pro only) oversold = RSI≤35 + above SMA200 · overbought = RSI≥65 momentum = RSI 50-70, above SMA200, up 0.5%+ today · high_conviction = flag_score≥7 - sort_by: "market_cap" | "rsi" | "perf_1d" | "analyst_rating" | "flag_score" (pro) - sort_dir: "asc" | "desc" (default "desc") - limit: 1–50 (default 20) Pro tier: adds flag_score + ai_verdict to every result row, enables min_flag_score filter and high_conviction preset. All other filters available to all tiers.
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  • Screen US-listed stocks (NYSE/NASDAQ/AMEX) via Finviz with 100+ filters. Args: criteria: dict of Finviz filter codes (e.g. {"cap": "large", "sec": "technology"}). Accepts {"screenerUrl": "<full finviz url>"} for pre-built screens, or {"market_cap_min": 1e10, "sector": "Technology", "pe_max": 25}. limit: max rows to return (default 50).
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  • [Global Equities Screener] Screen US-listed stocks (NYSE/NASDAQ/AMEX) via Finviz with 100+ filters. Args: criteria: dict of Finviz filter codes (e.g. {"cap": "large", "sec": "technology"}). Accepts {"screenerUrl": "<full finviz url>"} for pre-built screens, or {"market_cap_min": 1e10, "sector": "Technology", "pe_max": 25}. limit: max rows to return (default 50).
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  • AI-screened stock ideas actively flagged by the Stocklake pipeline. These are stocks the pipeline's AI agents have identified as worth attention — sourced from news analysis, sector screening, and sentiment signals. Parameters: - direction: "LONG" | "SHORT" | "BOTH" (default: all) - min_conviction: minimum conviction score 0-10 (default 7) - min_flag_score: minimum flag score 0-10 (default 8; 9+ = high conviction) - source: filter by signal source — "news" | "screener" | "sentiment" (default: all) - limit: max results to return (default 25, max 50) Returns: - count: number of ideas returned - ideas[]: each with symbol, direction, conviction (0-10), confidence (0-10), flag_score (0-10), source, rationale, expires - Note: ideas expire daily — active ideas represent the pipeline's current view. Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.
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  • Cross-sectional earnings screener: ranks upcoming events by VRP richness, cheapest implied move, highest historical IV crush, or importance. Returns implied-move percent, premium ratio (implied / realized-median), median historical IV crush, and richness assessment for each event. Configurable forward window, row limit, and minimum importance filter.
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  • Screen India's National Stock Exchange (NSE) — Nifty 50, Nifty Bank, full universe. Args: criteria: filter dict (sector, market cap, P/E, etc.) limit: max rows to return
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