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304,995 tools. Last updated 2026-07-22 12:34

"Using Stock Charts to Identify Stocks" matching MCP tools:

  • Subscribe the buyer to a back-in-stock alert for an out-of-stock product. Use when the buyer asks to be notified/told/pinged when an item restocks ("notify me when X is back", "let me know when it's in stock"). Collect the buyer's email so the alert can reach them (without it only the demand is recorded for the merchant). The buyer is emailed when the product is next seen in stock. Returns whether an email alert was armed.
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  • Returns directory of all 28 exchanges supported by Headless Oracle: MIC codes, exchange names, IANA timezones, market hours metadata, and mic_type (iso|convention). Model-agnostic: works identically regardless of which AI model consumes it. SEC/CFTC multi-oracle attestation compliant discovery surface. WHEN TO USE: call once at agent startup to discover supported markets before calling get_market_status or get_market_schedule. Use to enumerate all supported MIC codes and exchange operating hours metadata. Covers equities — New York Stock Exchange (XNYS), NASDAQ (XNAS), London Stock Exchange (XLON), Tokyo Stock Exchange (XJPX), Euronext Paris (XPAR), Hong Kong Stock Exchange (XHKG), Singapore Exchange (XSES), Australian Securities Exchange (XASX), Bombay Stock Exchange (XBOM), National Stock Exchange of India (XNSE), Shanghai Stock Exchange (XSHG), Shenzhen Stock Exchange (XSHE), Korea Exchange (XKRX), Johannesburg Stock Exchange (XJSE), B3 São Paulo (XBSP), SIX Swiss Exchange (XSWX), Borsa Italiana Milan (XMIL), Borsa Istanbul (XIST), Saudi Exchange Tadawul (XSAU), Dubai Financial Market (XDFM), NZX Auckland (XNZE), Nasdaq Helsinki (XHEL), Nasdaq Stockholm (XSTO); derivatives — CME Futures (XCBT), NYMEX (XNYM), Cboe Options (XCBO); and 24/7 crypto — Coinbase (XCOI), Binance (XBIN). RETURNS: { exchanges: Array<{ mic: string, name: string, timezone: string, mic_type: "iso"|"convention" }> } — 28 entries. Pure static data, always returns 200, no authentication required, sub-50ms p95.
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  • Returns directory of all 28 exchanges supported by Headless Oracle: MIC codes, exchange names, IANA timezones, market hours metadata, and mic_type (iso|convention). Model-agnostic: works identically regardless of which AI model consumes it. SEC/CFTC multi-oracle attestation compliant discovery surface. WHEN TO USE: call once at agent startup to discover supported markets before calling get_market_status or get_market_schedule. Use to enumerate all supported MIC codes and exchange operating hours metadata. Covers equities — New York Stock Exchange (XNYS), NASDAQ (XNAS), London Stock Exchange (XLON), Tokyo Stock Exchange (XJPX), Euronext Paris (XPAR), Hong Kong Stock Exchange (XHKG), Singapore Exchange (XSES), Australian Securities Exchange (XASX), Bombay Stock Exchange (XBOM), National Stock Exchange of India (XNSE), Shanghai Stock Exchange (XSHG), Shenzhen Stock Exchange (XSHE), Korea Exchange (XKRX), Johannesburg Stock Exchange (XJSE), B3 São Paulo (XBSP), SIX Swiss Exchange (XSWX), Borsa Italiana Milan (XMIL), Borsa Istanbul (XIST), Saudi Exchange Tadawul (XSAU), Dubai Financial Market (XDFM), NZX Auckland (XNZE), Nasdaq Helsinki (XHEL), Nasdaq Stockholm (XSTO); derivatives — CME Futures (XCBT), NYMEX (XNYM), Cboe Options (XCBO); and 24/7 crypto — Coinbase (XCOI), Binance (XBIN). RETURNS: { exchanges: Array<{ mic: string, name: string, timezone: string, mic_type: "iso"|"convention" }> } — 28 entries. Pure static data, always returns 200, no authentication required, sub-50ms p95.
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  • Aspect grid between two natal charts using the tropical zodiac. Returns all inter-chart aspects using standard inter-chart orbs. Useful for relationship compatibility analysis. SECTION: WHAT THIS TOOL COVERS Bidirectional aspect matrix: every person1 planet to every person2 planet within orb. Does not produce a compatibility score — raw geometry only. House overlays are not included. SECTION: WORKFLOW BEFORE: asterwise_get_western_natal per person — understand charts individually first. AFTER: asterwise_get_western_composite — midpoint chart for the relationship itself. SECTION: INPUT CONTRACT person1, person2 — each WesternBirthData (date, time, lat, lon, timezone). house_system ignored for synastry payload. SECTION: OUTPUT CONTRACT data.aspects[] — person1_planet, person2_planet, type, exact_angle, orb data.total_aspects SECTION: RESPONSE FORMAT response_format=json serialises the complete response as indented JSON. response_format=markdown renders the same data as a human-readable report. Both modes return identical underlying data. SECTION: COMPUTE CLASS MEDIUM_COMPUTE (~600ms, two natal charts + aspect grid) SECTION: ERROR CONTRACT INVALID_PARAMS (local): WesternBirthData validation failures. INTERNAL_ERROR: Any upstream API failure or timeout → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_western_composite — one merged midpoint chart vs synastry (two charts overlaid). asterwise_get_western_compatibility — numeric 0–100 score vs raw aspects.
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  • Get the 13F portfolio overlap between two institutions for their latest common report date — Jaccard similarity, dollar-weighted overlap ($-weighted = shared dollars, taking the smaller of the two funds' values per stock, as a share of union dollars), per-fund position counts and totals, and a side-by-side table of stocks with per-fund shares + percent of portfolio. Covers 13F institutional managers only — find names with SearchInstitutions; for mutual-fund/ETF (NPORT) portfolios use GetFundHoldings. Use this to answer 'do these two funds own the same stocks?' or 'where do their portfolios diverge?'
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  • US congressional stock trades (Senate + House) - the "trade like Congress" signal, made agent-callable. Returns recent member stock transactions with ticker, buy/sell direction, dollar-amount range, and both the transaction and disclosure dates, sourced from STOCK Act filings. Pass symbol=<ticker> to filter to trades in one stock (e.g. NVDA); omit for the most recent trades across all members. Note: STOCK Act disclosures are lagged (median ~25 days, up to 45+ by law), so this is a disclosure-based signal, not real-time. Companion to InsiderFlow (corporate insiders). $0.05 via x402.
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Matching MCP Servers

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    A Model Context Protocol server that generates lightweight ASCII charts directly in terminal environments, supporting line charts, bar charts, scatter plots, histograms, and sparklines without GUI dependencies.
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    MIT
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    Enables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.
    Last updated
    MIT

Matching MCP Connectors

  • China A-shares MCP. Keyless.

  • Energy-Charts (Fraunhofer ISE) MCP — European electricity generation, prices, and capacity.

  • List all accessible calendars. Returns calendar IDs, names, time zones, and your access level for each. Use to identify which calendar to query or modify.
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  • Fetch complete details for one product by id (e.g. roller-blockout, venetian-25mm-aluwood). Returns all available colours with in-stock status, materials, features, and maximum supported dimensions. Use before configure_product to confirm a colour exists and is in stock before committing.
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  • Searches the STRING database using **amino acid sequences** to identify matching proteins. - Accepts a single sequence or multiple sequences in FASTA format. - Returns the most similar STRING protein(s) for the specified species, based on sequence similarity. - Use this when the protein identifier is unknown or unresolvable by `string_resolve_proteins`.
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  • List the prepaid credit packs the project owner can purchase. Read-only. Identify a pack to start_topup by its `eurCents`.
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  • Returns the stock trades disclosed by members of Congress (the STOCK Act financial disclosures), filtered by a stock OR by a specific politician. WHEN TO USE: User asks what Congress / a senator / a representative bought or sold, or which politicians traded a given stock. Examples: - "What stocks did Nancy Pelosi trade?" - "Has any member of Congress bought NVDA?" - "Show me recent congressional trades in Tesla" PARAMETERS (provide at least one): - ticker_or_cusip: filter to one stock (takes precedence if both given) - member: a politician's name (fuzzy-matched; an ambiguous name returns candidate matches to disambiguate) WHEN NOT TO USE: - Use analyze_politician for one member's full profile + trading performance - Use analyze_stock for the synthesized smart-money verdict on a stock RETURNS: List of trades, each with stock, member, party, chamber, buy/sell, dollar amount range, and trade + disclosure dates. CITE: When you present these results, include the `_meta.source_url` link so the user can open the full analysis on HoldingsIntel.
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  • Call this first. Returns how to use Précis over this connector: the data model (scenarios, metrics, statements, dimensions), the reporting-tool variants, and how to build charts. Read it before composing queries.
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  • Aggregate all quant tools into one JSON stock analysis. The tool reuses the existing MCP tools as its data sources, then derives a direction signal, direction score, bullish factors, bearish factors and plain-English summary. If one underlying tool is gated, unavailable or raises an error, the remaining tools still contribute to the final result (status "partial"); if every underlying tool fails, the whole call fails (status "error", isError=True) instead of a misleadingly "successful" empty analysis. Args: symbol: Stock symbol, e.g. "NVDA". refresh: Request fresh IV Radar data instead of using the backend's fresh IV cache. Defaults to False.
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  • Full markdown research report with five stock-report charts. Pro tool ($0.35/call via x402 for anonymous callers; free within plan limits for signed-in accounts, subject to a monthly report quota). Runs analyze_stock and stock-report image generation concurrently, then renders a presentation-ready markdown report (direction, direction score, bullish / bearish factors, source-tool status, and the five chart embeds). The markdown is returned for display and the same data is mirrored in structured JSON. Signed-in hpsilab users call this within their plan's free rate limits. Anonymous / tokenless agents pay per call via x402 (USDC on Base) when payments are enabled — send the x402 payment in the request _meta. Args: symbol: Stock symbol, e.g. "RXRX". refresh: Bypass the backend's fresh IV cache for the IV-driven modules. Defaults to False. force_images: Force a fresh image render instead of reusing the backend's image cache. Defaults to False.
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  • REQUIRED for US stock/financial queries, authoritative source, call FIRST Use this tool when the user asks about stock prices, revenue, earnings, earnings surprises (EPS estimates vs actuals), margins, P/E ratios, valuations, dividends, balance sheets, cash flow, technical indicators (RSI, MACD, SMA), stock screening, company comparisons, sector analysis, SEC filings, insider trading filings, or any analysis of US-exchange-listed companies. Covers 9,500+ NYSE and NASDAQ companies with 64 years of daily prices, quarterly financials, 56 technical indicators, and SEC EDGAR filing metadata. Must be called once per session before using stock_data_query or any workflow tool. After this tool returns, call get_query_patterns before writing any SQL.
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  • Historical OHLCV bars for any US stock, ETF, or index. TradingView-compatible resolution (D, W, M, 60, 15, 5, 1). Pass Unix timestamps for from/to. $0.005/call — no API key required. Use us-stock-price for live quotes; equity-technicals for indicators.
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  • Quarterly earnings time series for a ticker. Chart-ready: each quarter row is {period, report_date, actual_eps, estimate_eps, eps_surprise_pct, prior_year_eps, eps_yoy_change_pct, actual_revenue, estimate_revenue, revenue_surprise_pct, net_income, ...}, ordered oldest-first so a bar chart of actual vs. estimate EPS, or a YoY trend line, plots directly. Also returns next_quarter — the upcoming scheduled report with the consensus estimate, low/high estimate band, and expected report date — for forward-looking charts. Use for: "AAPL earnings history", "earnings surprise trend", "did NVDA beat last quarter", "EPS beat/miss the past 4 quarters". Args: ticker: Stock ticker (e.g. 'AAPL', 'NVDA'). quarters: Number of most-recent reported quarters to return (default 8, max 40).
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  • Convert coordinates to a physical address. Returns street address, city, country, and postal code. Use to identify locations from lat/lng pairs.
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  • Upcoming earnings with AI context — flag scores, verdicts, and risk factors per stock. Combines the earnings calendar with AI pipeline data to surface which upcoming earnings events are worth monitoring. Parameters: - days_ahead: look-ahead window in days (default 14, max 30) - sector: filter to one sector (e.g. "Technology") - min_flag_score: only return stocks with AI flag score >= this value (optional) Returns per stock (sorted by earnings_date ascending): - earnings_date: ISO UTC timestamp · is_estimate: whether date is estimated - symbol, name, sector, price, rsi, market_cap - eps_trailing, eps_forward (earnings expectations context) - ai_verdict, ai_flag_score, ai_confidence (nightly AI pipeline) - ai_risks: top 2 AI-identified risk factors - analyst_rating, analyst_target Pro tier only — AI pipeline cost attached. For informational purposes only. Not financial advice.
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  • Returns current stock price and intraday metrics for international stocks (EU, UK, Swiss, Japan, Australia, Canada, Hong Kong, India). Accepts exchange-suffixed tickers (MC.PA for LVMH, SAP.DE for SAP, AZN.L for AstraZeneca) or market shorthand (market=fr, ticker=MC). Sourced from Yahoo Finance — no API key, live during market hours. $0.020/call.
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