"A search for financial data and stock prices" matching MCP tools:

• analyze_company

  Nordic Financial MCP

  AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'

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• describe_data

  mrmarket.ai

  Data catalog — zero cost. Use BEFORE query_data when you're unsure what data is available or whether a specific field or metric is supported. The catalog lists RAW INGREDIENTS; query_data accepts RECIPES. Any field can be combined with any other in one question — ratios of two fields, growth of any metric, rolling stats, group medians, cohort-relative z-scores, benchmark-relative betas. A metric missing from the catalog by name is still answerable if it's computable from the fields (the overview's `composition` section lists the patterns). Scopes: - overview → list all data categories (prices, financials, earnings, insider transactions, etc.) + coverage depth + key fields + computed metrics + composition patterns. Good first call. - category → full field list for one data category. Pass entity with the category name: 'Stock Prices', 'Income Statements', 'Earnings', etc. - computed_metrics → pre-defined computed metrics (ROIC, FCF yield, D/E, ROE, ROA, margins, growth/CAGR, volatility, drawdown, beta, z-score, median…). - search → keyword search across field names, categories, computed metrics, and composition patterns. Pass search_term: 'volatility', 'capex', etc.

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• list_exchanges

  headless-oracle

  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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• list_exchanges

  Headless Oracle

  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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• get_equity_call

  AlgoVault — Crypto Quant Trade Calls

  Returns a daily-bar BUY/SELL/HOLD trade call for a US stock or ETF — verdict, confidence, market regime, and the technical factors behind it — from Databento EQUS.MINI daily bars. Universe = top US equities by dollar-volume plus index and crypto-proxy ETFs (SPY, QQQ, IBIT); an out-of-universe ticker returns a structured SYMBOL_NOT_IN_UNIVERSE error with nearest-symbol suggestions (accepts BRK-B or BRK.B). Defaults to the stock read; naming a crypto exchange or timeframe routes to the perpetual-futures call instead — for crypto or tokenized-stock perps, use get_trade_call. Read-only: reads a live market-data API, places no orders.

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• stock_data_query

  Shibui Finance

  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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• secedgar_get_financials

  secedgar-mcp-server

  Get historical XBRL financial data for a company. Accepts friendly concept names (e.g., "revenue", "net_income", "assets") or raw XBRL tags. Discover available friendly names with secedgar_search_concepts. Handles historical tag changes and deduplicates data automatically.

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• get_energy_breakdown

  supply-chain-intelligence

  Get comprehensive US energy market status for supply chain cost analysis. Returns crude oil prices (WTI and Brent), natural gas spot prices (Henry Hub), retail fuel prices (gasoline, diesel), natural gas storage versus capacity, refinery utilization rates, petroleum stock levels with week-over-week changes, and import/export flows. This is the disaggregated view behind the GDI Energy pillar — instead of a single risk number, you get the full picture of energy costs affecting manufacturing, freight, and logistics. Used by supply chain cost analysts, transportation managers, and energy procurement teams.

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• financial_calculator

  Inferventis — Financial Data, News & Web MCP

  Performs precise financial calculations across six calculation types entirely locally with no external API dependency. compound_interest computes the final value and total interest earned on a principal over time at a given annual rate. loan_repayment calculates the monthly payment, total repayable amount, and total interest for a mortgage or loan given the principal, annual rate, and term in months. roi returns return on investment as a percentage and absolute profit or loss, with optional annualised ROI when a holding period is provided. present_value discounts a future cash amount back to its current value using a discount rate. future_value projects a present amount forward at a compounding annual rate. break_even finds the unit volume and revenue at which fixed and variable costs are fully covered by sales. Use this tool when an agent needs to perform any structured financial calculation — loan affordability, investment return, discounted cash flow, or cost analysis. Prefer financial_calculator_lite when only the single headline result is needed rather than a full structured breakdown. Do not use this tool to fetch live market prices or exchange rates — use stock_quote for stock prices, crypto_price for cryptocurrency prices, or currency_convert for FX rates.

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• configure_product

  Custom Blinds Shop

  Lock in a full blind specification: product, dimensions, colour, and mount type (inside recess or outside face-fix). Validates that the colour exists and is in stock, then prices the blind. Returns a configuration summary to pass directly into create_cart. Call check_colour_stock first if availability is uncertain.

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• request_price_match

  Custom Blinds Shop

  Submit a price match claim when the customer has found the same blind cheaper elsewhere. Custom Blinds matches verified South African retailer prices for identical product, dimensions, and specs. Returns a pre-filled WhatsApp link to the claims team. Not applicable to: Blinds Direct (same supplier), clearance or flash-sale prices, or out-of-stock items. Requires product_id and competitor_price_zar at minimum.

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• congress.disclosures.list

  arkolith

  List the US House financial-disclosure filing INDEX for a year (STOCK Act). filingType 'P' = Periodic Transaction Report (stock trades). Returns one row per filing with a link to the source PDF — this is the index, NOT parsed trades. Parsed line-items (member, ticker, buy/sell, amount range) are available via congress.trades (US House live; Senate being added). Public-domain US House Clerk data.

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• stock_prices

  Tiingo

  Get EOD historical stock prices for a ticker (open, high, low, close, volume, adjClose). Without a start_date, returns just the latest trading day. Example: stock_prices({ ticker: "AAPL", start_date: "2024-01-01", end_date: "2024-01-31", frequency: "daily" })

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• get_database_schema

  Shibui Finance

  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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• check_stock

  agentic-shelf

  Check real-time inventory, price, and shipping for a product SKU. This tool queries the connected e-commerce platform (Shopify, WooCommerce, etc.) for live inventory data. Returns current stock level, price, and availability status. Args: sku: Product SKU (Stock Keeping Unit) - e.g., "RED-WIDGET-001" Returns: Dictionary with: - sku: The requested SKU - stock: Current inventory count - price: Current price in USD - can_ship_today: Boolean indicating same-day shipping availability - message: Human-readable status message Example: >>> await check_stock("WIDGET-001") { "sku": "WIDGET-001", "stock": 42, "price": 29.99, "can_ship_today": True, "message": "✅ WIDGET-001 (Awesome Widget) - 42 in stock at $29.99" }

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• financial_calculator

  Inferventis MCP Server

  Performs precise financial calculations across six calculation types entirely locally with no external API dependency. compound_interest computes the final value and total interest earned on a principal over time at a given annual rate. loan_repayment calculates the monthly payment, total repayable amount, and total interest for a mortgage or loan given the principal, annual rate, and term in months. roi returns return on investment as a percentage and absolute profit or loss, with optional annualised ROI when a holding period is provided. present_value discounts a future cash amount back to its current value using a discount rate. future_value projects a present amount forward at a compounding annual rate. break_even finds the unit volume and revenue at which fixed and variable costs are fully covered by sales. Use this tool when an agent needs to perform any structured financial calculation — loan affordability, investment return, discounted cash flow, or cost analysis. Prefer financial_calculator_lite when only the single headline result is needed rather than a full structured breakdown. Do not use this tool to fetch live market prices or exchange rates — use stock_quote for stock prices, crypto_price for cryptocurrency prices, or currency_convert for FX rates.

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• finnhub_stock_quote

  Inferventis MCP Server

  Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.

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• finnhub_stock_quote

  Inferventis MCP Server

  Retrieves real-time stock price quotes and company information for any publicly traded company via the Finnhub API. Returns current price, intraday high and low, percentage change from previous close, previous close price, sector, and exchange. Use stock_quote when an agent needs to look up a stock price, check intraday market performance, retrieve company sector data, monitor equity portfolio values, or answer any question about the current trading price of a publicly listed company. Prefer stock_quote over stock_price_lite when the agent needs price change, intraday range, company name, or sector — stock_price_lite returns only the raw current price with no additional context. Do not use for cryptocurrency prices — use crypto_price (CoinGecko, 10,000+ assets) or crypto_price_lite for a lightweight variant. Do not use for fiat currency conversion — use currency_convert or currency_fx_lite. Requires a Finnhub API key to be configured on the server.

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• financial_calculator

  Inferventis MCP Server

  Performs precise financial calculations across six calculation types entirely locally with no external API dependency. compound_interest computes the final value and total interest earned on a principal over time at a given annual rate. loan_repayment calculates the monthly payment, total repayable amount, and total interest for a mortgage or loan given the principal, annual rate, and term in months. roi returns return on investment as a percentage and absolute profit or loss, with optional annualised ROI when a holding period is provided. present_value discounts a future cash amount back to its current value using a discount rate. future_value projects a present amount forward at a compounding annual rate. break_even finds the unit volume and revenue at which fixed and variable costs are fully covered by sales. Use this tool when an agent needs to perform any structured financial calculation — loan affordability, investment return, discounted cash flow, or cost analysis. Prefer financial_calculator_lite when only the single headline result is needed rather than a full structured breakdown. Do not use this tool to fetch live market prices or exchange rates — use stock_quote for stock prices, crypto_price for cryptocurrency prices, or currency_convert for FX rates.

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• check_stock

  Agentic Shelf

  Check real-time inventory, price, and shipping for a product SKU. This tool queries the connected e-commerce platform (Shopify, WooCommerce, etc.) for live inventory data. Returns current stock level, price, and availability status. Args: sku: Product SKU (Stock Keeping Unit) - e.g., "RED-WIDGET-001" Returns: Dictionary with: - sku: The requested SKU - stock: Current inventory count - price: Current price in USD - can_ship_today: Boolean indicating same-day shipping availability - message: Human-readable status message Example: >>> await check_stock("WIDGET-001") { "sku": "WIDGET-001", "stock": 42, "price": 29.99, "can_ship_today": True, "message": "✅ WIDGET-001 (Awesome Widget) - 42 in stock at $29.99" }

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