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130,610 tools. Last updated 2026-05-07 11:08

"A service for getting stock prices and conducting financial analysis" matching MCP tools:

  • 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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  • 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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  • Performs common financial calculations locally with no external API dependency. Supports compound interest, loan repayment, return on investment (ROI), present value, future value, and break-even analysis. Returns a single numeric result for the requested calculation type. This is a lightweight variant of financial_calculator — it returns only the result number rather than a full structured breakdown (monthly payment, total interest, annualised ROI, etc.). Use financial_calculator_lite when only the headline figure is needed. Prefer financial_calculator when the agent needs a full breakdown, multiple sub-values, or labelled output fields for compound interest earned, total repayable, or annualised returns. Neither this tool nor financial_calculator fetches live market data — for live prices use stock_quote, crypto_price, or currency_convert.
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  • 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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  • Performs common financial calculations locally with no external API dependency. Supports compound interest, loan repayment, return on investment (ROI), present value, future value, and break-even analysis. Returns a single numeric result for the requested calculation type. This is a lightweight variant of financial_calculator — it returns only the result number rather than a full structured breakdown (monthly payment, total interest, annualised ROI, etc.). Use financial_calculator_lite when only the headline figure is needed. Prefer financial_calculator when the agent needs a full breakdown, multiple sub-values, or labelled output fields for compound interest earned, total repayable, or annualised returns. Neither this tool nor financial_calculator fetches live market data — for live prices use stock_quote, crypto_price, or currency_convert.
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Matching MCP Servers

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    Provides access to real-time and historical Indian stock data via Yahoo Finance API, enabling local LLMs to retrieve stock information through MCP-compatible agents like Claude Desktop and Cursor.
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    Allows Claude and other MCP clients to access real-time and historical stock market data from Alpha Vantage API, including intraday and daily stock data with customizable intervals.
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  • SEC filing intelligence for AI agents. Financials, screening, peer comparison for 5,000+ companies.

  • AI-to-AI petrol station. 56 pay-per-call endpoints covering market signals, crypto/DeFi, geopolitics, earnings, insider trades, SEC filings, sanctions screening, ArXiv research, whale tracking, and more. Micropayments in USDC on Base Mainnet via x402 protocol.

  • Fetch today's hourly day-ahead electricity spot prices for a Nordic bidding zone. Use this for current and near-term (today/tomorrow) price queries. Do not use for historical price analysis — use search_filings with report_type='macro_summary' and a date reference in the query for that purpose. Tomorrow's prices are published by NordPool around 13:00 CET; requests before that time will return "not yet available" for the tomorrow field. All zones return prices in EUR/kWh (NordPool day-ahead, native currency). Norwegian zones (NO1–NO5) use hvakosterstrommen.no; all other zones use ENTSO-E. Args: zone: Bidding zone code. Options: NO1 (East/Oslo), NO2 (Southwest), NO3 (Central/Trondheim), NO4 (North), NO5 (West/Bergen), SE1–SE4, DK1, DK2, FI. include_tomorrow: Set to True to also fetch tomorrow's hourly prices if already published (default False). Returns: Dict containing zone, date, current_hour_utc, current price, and a 'today' summary with min/max/avg and the full hourly list. Includes a 'tomorrow' key if include_tomorrow=True. Returns {'error': '<message>'} if price data is unavailable for the requested zone or date.
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  • Record a simple pass/fail outcome report for a service call. No LLM analysis - just logs the result to the quality database. Cheaper alternative to verify_outcome when you only need to record success/failure.
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  • Performs common financial calculations locally with no external API dependency. Supports compound interest, loan repayment, return on investment (ROI), present value, future value, and break-even analysis. Returns a single numeric result for the requested calculation type. This is a lightweight variant of financial_calculator — it returns only the result number rather than a full structured breakdown (monthly payment, total interest, annualised ROI, etc.). Use financial_calculator_lite when only the headline figure is needed. Prefer financial_calculator when the agent needs a full breakdown, multiple sub-values, or labelled output fields for compound interest earned, total repayable, or annualised returns. Neither this tool nor financial_calculator fetches live market data — for live prices use stock_quote, crypto_price, or currency_convert.
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  • 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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  • Load fundamental analysis workflow with advanced query patterns. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL for complex queries when the user asks about company valuation, financial health, investment quality, earnings trends, profitability, "is X a good buy", or any deep-dive company analysis. Can be combined with other workflow tools.
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  • Load fundamental analysis workflow with advanced query patterns. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL for complex queries when the user asks about company valuation, financial health, investment quality, earnings trends, profitability, "is X a good buy", or any deep-dive company analysis. Can be combined with other workflow tools.
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  • Use when current energy price data is needed for a commodity brief, input cost analysis, or energy sector context in a CFO or investment brief. Returns WTI crude and natural gas spot prices when EIA API is configured. Example: WTI crude $78.40/bbl, natural gas $2.31/MMBtu — energy input costs 12% below year-ago levels, favorable for manufacturing and transportation operating margins. Source: US Energy Information Administration.
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  • Get aggregated price ranges for a service category, optionally filtered by location. Prefers transacted prices (accepted quotes) when at least 5 samples exist; otherwise falls back to listed (asking) prices from provider capability pricing. Returns median, p25, p75, min, max, sample size, and currency.
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  • Query real data from a dataset. Check instructions for featured dataset_ids and NOTES section for common filter patterns (municipal budgets, contracts, weather, energy, fuel prices).
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  • Search Google Maps for local businesses matching a query and location. Returns business name, complete address, star rating, review count, phone number, website URL, and business category. Use for restaurant discovery, service provider lookup, or competitive local analysis. Returns open/closed status.
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  • Get all ENS names owned by a wallet address. Returns each name with label, tags, expiry, registration date, and active listing/offer prices. Useful for portfolio analysis and wallet profiling. If you are authenticated via ERC-8128 and omit the wallet parameter, your own wallet is used automatically.
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  • Map financial instrument identifiers between different ID systems using Bloomberg's OpenFIGI service. Converts between ticker symbols, ISINs, CUSIPs, and FIGIs in a single call. Use this tool when: - You have a ticker and need the ISIN or CUSIP (or vice versa) - You are normalizing instrument IDs when combining data from EDGAR, Yahoo Finance, and other sources that use different ID schemes - You need to identify what exchange a security trades on Supported idType values: - 'TICKER': Stock ticker symbol (e.g. 'AAPL') - 'ID_ISIN': ISIN (e.g. 'US0378331005') - 'ID_CUSIP': CUSIP (e.g. '037833100') - 'ID_FIGI': Bloomberg FIGI Include 'exchCode': 'US' to target US exchanges for ticker lookups. Source: Bloomberg OpenFIGI API. No API key required (optional key raises rate limits).
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  • Get a price calendar showing the cheapest round-trip flight prices for combinations of outbound and return dates. Returns a grid of date pairs with prices - useful for finding the best travel window when both departure and return dates are flexible. For one-way price calendars, use google_flights_calendar_one_way instead.
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