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741,952 tools. Updated 2026-11-04 11:11

"A server for finding stock market information" matching MCP tools:

  • [RECEIPTS] Per-non-crypto-asset-class forward-return scoreboard (asset_class = stock | index | metal | commodity). Measured on that class's own rows + baseline (stock excess vs SP500; index/metal/commodity absolute). Intel-only: the tradeable badge is informational, non-crypto is not auto-traded yet. status=accruing until a (type,direction) reaches the min sample. Same data as REST /proof?asset_class=. For the crypto board use get_performance or REST /proof. Not financial advice.
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  • [RECEIPTS] Per-non-crypto-asset-class forward-return scoreboard (asset_class = stock | index | metal | commodity). Measured on that class's own rows + baseline (stock excess vs SP500; index/metal/commodity absolute). Intel-only: the tradeable badge is informational, non-crypto is not auto-traded yet. status=accruing until a (type,direction) reaches the min sample. Same data as REST /proof?asset_class=. For the crypto board use get_performance or REST /proof. Not financial advice.
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  • Assemble checkout-ready cart(s) in ONE call for a multi-product (and optionally multi-store) request. Creates a cart per store, adds all items, and sets the shipping address — then returns the cart(s) with delivery options to choose. Use this when the buyer lists several products at once (optionally across stores) and/or gives their address up front, instead of calling create_cart/add_to_cart/set_shipping_address separately. Does NOT select delivery, check out, or pay — the buyer picks delivery (select_shipping_option) and approves checkout/payment per store afterward. Out-of-stock items are reported; pass customer.email to auto-arm a back-in-stock alert for them.
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  • Turn a script into a finished 1080p video — narrated, cut to matched stock footage, subtitles burned in, audio normalized to −14 LUFS. Returns a job id; poll get_job, then fetch_video. Use when you need a publishable video and have only text. $0.60 per video in USDC on Solana — no account, no API key, no human in the loop. script: narration body to speak (plain text) title: optional intro title shown for ~4s at the top voice: voice id from list_voices(), e.g. female_warm subtitles: burn-in subtitles (default true) speed: narration speed multiplier, e.g. 1.0 seed: stock-selection seed for reproducible visuals, e.g. 7
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  • Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.
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  • Show which tracked 13F managers disclosed a stock, their weights, changes and history. Exact stock/ETF ticker (share-class punctuation accepted); searches full books, including small positions and exits. quarters=1 (latest per manager) to 12. Report dates may differ by manager and are always returned. No matches means not disclosed by these managers, not no institutional ownership. Partial data is explicit. For a complete stock report prefer get_ticker_deep_dive, which includes latest 13F ownership automatically. limit=1..100; later pages require the returned snapshot_version with next_offset and the original filters.
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Matching MCP Servers

  • A
    license
    B
    quality
    C
    maintenance
    Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.
    11
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    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.
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Matching MCP Connectors

  • Get the stocks whose daily price returns are most (or least) correlated with one stock — Pearson correlation of daily log returns on comparable raw closes (dividends excluded), computed over the trading days both stocks priced, never on raw price levels. Scope picks the candidate universe: Industry (default) ranks the subject's direct industry peers; Sector widens to sibling industries; Market ranges across the ~1,500 largest listed names and surfaces cross-industry relationships the classification misses (suppliers, commodity proxies). direction=Negative flips the ranking to the strongest inverse movers (hedge candidates). Candidates need a $100M market cap and enough overlapping trading days with the subject; each row reports the observation count behind its coefficient. Use GetStockPrices for the underlying series and the screener for fundamentals-based peer sets.
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  • Retrieve detailed product information for dm-drogeriemarkt products. USE WHEN: ingredients, nutrition facts, allergens, usage instructions, warnings, hazard info, product URLs/images INPUT: DANs (7 digits, preferred) and/or GTINs (8-14 digits) multiple products can be requested at once min 1 / max 50. Use search tool first if only product name is known. OUTPUT: TOON format (compact YAML-like). Fields: name, brand, description, ingredients, nutrition, allergens, usage, warnings, URLs, images. found=false for unresolved IDs. NOT FOR: prices, availability, stock, reviews, recommendations ERRORS: validation error if >50 or no identifiers
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  • Call this first for every XGR purchase. Read live price, stock and payment assets; use payment_assets[].key exactly as payment_asset and inspect requires_sender_wallet before creating an order.
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  • Get a token-compact market-state brief for a stock, ETF, or crypto ticker + timeframe. Returns compact candles, detected chart/candlestick patterns with geometric confidence AND a backtested historical base rate (how often that pattern+timeframe+confidence-band actually resolved its way), support/resistance levels, trend/regime, and interpreted indicators (RSI/EMA state) plus a one-line summary. Covers US stocks/ETFs (split & dividend adjusted, delayed/EOD) and crypto spot (realtime). WHEN: an agent needs the current technical picture of a market without dumping raw OHLCV into context (saves tokens, avoids numeric hallucination). WHEN NOT: you need order execution or portfolio advice. Examples: {"ticker":"AAPL","timeframe":"1d"}, {"ticker":"BTC/USDT","timeframe":"4h"}. Output is impersonal market data, NOT investment advice.
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  • Search individual stock trades disclosed by U.S. Congress members (House and Senate) under the STOCK Act. Returns a markdown table of transactions: member name, chamber, ticker, buy/sell type, transaction date, disclosure date (the gap between the two reveals reporting delay), dollar amount range, and owner (self/spouse/joint). Use for questions like 'What did Nancy Pelosi trade recently?', 'Which members bought NVDA?', or 'Show the largest Senate trades this quarter'. Filter by chamber, ticker, or member name; sort by traded value, trade count, or recency. For one member's profile and complete trading history, use get_congress_member instead.
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  • Every tokenized stock on Robinhood Chain priced three ways at once: the 24/7 DEX price, the live US-market print (regular session only), and the Chainlink oracle (frozen at the close). premiumPct = dex vs the live market — only meaningful while the session is open. driftPct = dex vs the frozen oracle print — the expected off-session drift, never an arbitrage claim. The envelope carries the session verdict (open / opensInSec) with its own clock. No other index on this chain has the live-market leg.
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  • Maps only stable Tier1 finding identifiers to approved Tier1 services and public resources. Call after a Tier1 score or email-domain check. Do not submit prose, URLs, customer information, or invented identifiers. This tool performs no arbitrary fetching, makes no contact request, changes nothing, and stores nothing.
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  • Works out what a business should buy, how much, and when. Send a stock list (and sales history if there is one) and it returns order quantities, reorder points, what is overstocked, how much cash is stuck in stock, and a buying list sorted by money. ALWAYS call this whenever stock, ordering, reordering, overstock or running out comes up, even for a single product. Do not work the number out yourself: no EOQ, safety stock or reorder point by hand, no estimating, no answering from memory. Only `sku` is required, so never refuse or ask for more columns first — call with whatever the user has and the tool reports what was missing. Send their column names exactly as they are. Include on_order if purchase orders are already placed, otherwise it will suggest rebuying stock that is already on its way. Use this when the data is about 200 products or fewer and about 2,500 sales rows or fewer; for anything bigger use inventory_optimizer_get_engine instead.
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  • The statistical theme a stock actually trades with: clusters built from years of price co-movement (market-removed residuals → random-matrix cleaning → Ward linkage), not sector labels. Returns the cluster's name, description, cohesion, sector mix and up to 20 member tickers. Different question from `peers` (business competition) — this is who it MOVES with.
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  • Purpose: the end-of-life tyre (ELT) collection topic for the rCB supply chain - policy targets, the 2026 standard system, the collection-network build-out, the processing value ladder (retreading > recycled rubber > pyrolysis) and market-size figures, with official sources labelled per record. Guidelines: call with no arguments for the full topic, or pass topic (policy/standard/network/ladder/market) to focus one section; pair with get_elt_price_index (category G-ELT) for collection prices and get_feedstock_overview for arisings. Limits: policy and standard records are sourced from official documents; market-size figures are public-information compilations and labelled as such; does not return prices. Ex: 'China end-of-life tyre recycling policy 2030 target', 'ELT collection network China', 'scrap tyre pyrolysis standards 2026'.
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  • Purpose: one-call overview of the carbon market layer - dated carbon price snapshots (EU ETS auction/settlement, China national ETS), market size statistics and allowance allocation rules, each with its issuer and source. Guidelines: use for "what is the carbon price / how big is the market / how are allowances allocated" style questions; filter by market to narrow to the EU or China. Limits: prices are dated snapshots from the cited sources, NOT live quotes; currencies are not converted, so do not compare across currencies without an FX rate. Ex: get_carbon_market_overview(), get_carbon_market_overview(market='cn'), get_carbon_market_overview(market='eu', language='en'). ⭐ Scope: ONE market at a time - price + market size + allocation rules together. For a side-by-side comparison across markets (who is more expensive, what is the spread), use compare_carbon_prices instead.
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  • Use for upcoming games (next 1-30 days, default 7) with the median line across posted sportsbooks: moneylines, run line and total. For every book's line use get_odds. Costs 2 credits. Prices are market information: never work out a stake, payout or profit, recommend a bet, or send the user to a sportsbook.
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  • Explain WHAT DRIVES the returns of a ticker, ETF or built-in portfolio by decomposing them into common factor exposures (market, size, value, momentum, quality, low-volatility, duration, credit) plus an idiosyncratic residual. Use this when the user asks why two assets move together, what a fund is really exposed to, whether a stock is a growth or value tilt, how much of a return is just market beta, whether it has real alpha, or what is driving a portfolio's returns. Returns betas (loadings), t-stats, an additive variance decomposition (shares sum to R²), annualized alpha, idiosyncratic vs total volatility, and for a portfolio the holdings that drive each factor. Computed by OLS regression on real price history via tradeable ETF proxies (long-short factor spreads): measured exposure, not a forecast. Provide exactly one of `target` (a ticker, computed live), `template` (a built-in model portfolio), `strategy` (a canonical strategy) or `assets` (your own allocation, including nested portfolios, rotations and strategies as holdings, computed live); portfolio ids are answered from precomputed monthly data through the stated month. Portfolios (ids and `assets`) use the five default factors (market, size, value, duration, credit), are monthly and ignore `frequency` and `factors`. For performance numbers use analyze_portfolio. Read-only.
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  • How many of ONE product are on hand, broken down by variant and by outlet. Answers 'how many of these do I have', 'how many are left at the King Street shop', 'where is this product in stock'. Takes the product id from get_products — get_products itself returns prices, never quantities. Pass outletId (from get_outlets) to narrow it to a single shop. CRITICAL — "tracked: false" means the merchant switched stock counting OFF for that variant at that outlet, so there is NO count at all. It is NOT "0 in stock". Never say "you have 0" or "it is out of stock" about an untracked line; say stock is not being tracked there. Only lines with tracked: true carry a real quantity. Outlets where the product is hidden do not appear at all. For 'what is running out' across the whole catalogue use find_low_stock instead — do not page through products with this tool.
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  • Stock that arrived with no purchase order behind it — the merchant bought it on the spot, or it was ordered outside the platform. Creates the order already fully received and ADDS THE QUANTITIES TO REAL STOCK at the outlet, in one step. Use this ONLY when no order exists. If the goods match an order that was sent, use receive_purchase_order instead — otherwise the same delivery is counted twice, once here and once when someone receives the real order. Check get_purchase_orders for an open order from this supplier before calling. The items must already be linked to the supplier (get_supplier_items) and stock-managed at the outlet. There is no undo: correcting a mistake means a stock adjustment afterwards.
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