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710,362 tools. Updated 2026-10-27 18:32

"United Airlines" matching MCP tools:

  • Transfer partner map. Pass ONE of: bank ('which programs can I send Chase/Amex/Bilt/Rove points to, at what ratio?'), program ('which banks feed Flying Blue and which airlines can it book?'), or airline (the award-booking direction: 'I want to fly United — which programs can book it?'). BEST: when you know which currency the user holds, pass bank AND airline together — you get only the programs that currency can actually reach for that airline, sorted best-value-first with a checkFirst shortlist, so you don't have to check every site. Includes alliances and per-program point valuations.
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  • Use when the user asks "will my flight have Starlink?" for a date too far out for a confirmed assignment, or with no date at all. Returns the probability that a United Airlines flight number gets a Starlink plane, from historical observations. Reliability varies: high-confidence (5+ obs) is the most reliable tier but is not a guarantee; low-confidence (0-1 obs) is just the fleet prior. UA1-2999 (mainline) has materially lower coverage than UA3000-6999 (express) — call get_fleet_stats for the current split rather than assuming a rate.
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  • Use when the user asks "which flights between X and Y have Starlink?" or "what Starlink flights serve airport X?". Single-route lookup: returns United Airlines flight numbers on a route (or touching an airport) ranked by Starlink probability. Pass both origin+destination for a specific route, OR just one to list all Starlink flights from/into an airport. For trip planning with connections, use plan_starlink_itinerary instead — this tool has no connection logic or coverage-ratio ranking. Empty result = route not served by Starlink planes.
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  • Use this when someone wants popular or trending songs to put on a Reel, TikTok or Story for a business in Malaysia, Singapore, Indonesia, Philippines, Thailand, United States, Canada, United Kingdom, Australia or the UAE, for example 'what songs are trending in Malaysia for Reels?'. Returns this week's songs charting on both Apple Music and Spotify in that country, with the trend (new, up, down) and whether a business account can use them. It is a music-chart signal, not a count of Reels or TikTok uses. Every song is marked business use 'unknown' with the platform's official rule: say so, and never tell a business a song is cleared. Not for picking royalty-free music or for countries outside the list.
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  • All airports reachable nonstop from a given origin, with the service kinds (scheduled, seasonal, charter, suspended, ...) per destination. Optionally filter by kind and include the operating airlines. Seasonal and charter service carries no operating dates; treat as unverified for specific travel dates.
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  • Use when the user asks "does my flight have Starlink/WiFi?" with a specific United Airlines flight number and date. Returns YES if the published aircraft assignment is a plane verified to have Starlink, LIKELY YES if that plane is listed as Starlink-equipped but not yet verified, NO if it is a plane verified to have other WiFi, or a probability estimate if no assignment exists yet (assignments publish ~2 days out). An assignment can still change through an aircraft swap. For dates further out, call predict_flight_starlink directly — check_flight just falls through to the same estimate with extra latency.
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Matching MCP Servers

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    The company registry MCP: company data for AI agents, any country. One MCP server and REST API over national business registries — Norway (Brønnøysundregistrene / Enhetsregisteret, lookup by organisasjonsnummer/orgnr, VAT status) and the United Kingdom (Companies House, lookup by company number, accounts and confirmation-statement deadlines). Five tools: lookup_company, search_company, company_dea
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    44 PyPI
    MIT
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    Free, no-login MCP server for searching and comparing flights with real-time pricing from multiple airlines and booking platforms worldwide.
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    MIT

Matching MCP Connectors

  • Use when the user asks "how far along is the Starlink rollout?" or wants overall fleet numbers. Returns United Airlines Starlink installation counts and percentages across mainline and express fleets, plus a per-aircraft-type breakdown (installed/total per family). Not for per-flight checks — use check_flight for that.
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  • Use when the user asks about the planes themselves — "which tail numbers have Starlink?", "which aircraft types are equipped?". Returns United Airlines tail numbers, aircraft types, operators, and install dates (default 50 most recent; pass limit up to 500). Not for finding flights — use search_starlink_flights for that.
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  • Use when the user asks "how far along is the Starlink rollout?" or wants overall fleet numbers. Returns tracked airlines Starlink installation counts and percentages across mainline and express fleets, plus a per-aircraft-type breakdown (installed/total per family). Not for per-flight checks — use check_flight for that.
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  • Use this when the user asks what Warren Buffett said, wrote or thinks about a topic, industry, company or idea (e.g. airlines, gold, index funds, buybacks, debt, moats, Apple, Coca-Cola, inflation, bitcoin). Returns real, dated excerpts from Berkshire Hathaway's shareholder letters (1985-2024) with links to the original letters, so you can quote him accurately instead of paraphrasing from memory. Always call this before quoting or summarizing Buffett's views, instead of searching the web.
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  • Discover what a dataset accepts: its dimension names in key order, and the codes available for each, filtered by `query`. Use this before get_data — e.g. search_indicators({dataset:"CPI", query:"united states"}) finds COUNTRY=USA. Without a query it returns the dimension list and a sample of codes.
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  • List the 54 titles of the United States Code with their subject names — title 18 is Crimes and Criminal Procedure, title 26 is the Internal Revenue Code, and so on. Keyless. Use when you know the subject area but not which title governs it, before calling usc_section.
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  • Google search results scraping via Decodo (formerly Smartproxy) — runs a Google search through rotating proxies and returns structured organic results (position, title, url, snippet) plus related searches when parsing succeeds. BYOK — _apiKey is your Decodo Web Scraping API "username:password" credentials. Example: decodo_google_search({ query: "best running shoes 2026", geo: "United States", _apiKey: "user:pass" })
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  • US airline on-time performance and passenger traffic by month (official public data): on-time %, delays 15+ minutes, cancellations, diversions, average arrival delay and delay causes (since 2010, scheduled domestic flights of the large US airlines and their regional partners, counted at the departure airport), and passengers, seats, departures and load factor per airline, airport and non-stop route (since 2015, US domestic and international, US and foreign airlines). Monthly data, about 2 to 3 months behind. Listed companies by ticker (DAL, AAL, UAL, LUV, ALK, JBLU, ALGT, ULCC, SKYW, SNCY, CPA, VLRS ...). view "airlines" (default): airlines ranked for a period (period = latest, ttm, 2025 or 2025-07) by sort = on_time_pct (default), cancelled_pct, delayed_pct, avg_arrival_delay_min, flights, passengers, load_factor_pct or passengers_change_pct; ticker = a listed company's airlines (e.g. DAL: Delta and Endeavor). view "airline": one airline (carrier code, e.g. DL, AA, UA, WN, B6, 9E) with its newest month, last 12 months, busiest airports and routes. view "series": monthly numbers of carrier (comma-separated codes), ticker, or all airlines; by "carrier" splits them; date_from / date_to (YYYY-MM). view "airports": airports ranked for a period by passengers (default), flights, on_time_pct or cancelled_pct; filters {"state": "TX"} or {"country": "US"}. view "airport": one airport (airport = 3-letter code, e.g. ATL, JFK, LAX) with its monthly series, carriers and top routes. view "routes": non-stop routes ranked by passengers for a period; origin, dest or airport (either end), carrier, ticker; by "carrier" for one row per airline and route; filters {"series": true} with one origin and dest for a route's monthly series, {"international": true}. view "travelers": passengers on flights within, to and from the US by month (domestic and international, change from a year earlier). Daily traveler counts are not available. on_time_pct counts cancelled and diverted flights as not on time. A passenger on a connecting trip is counted on each flight.
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  • Rank every place of one level inside an area by an indicator: all countries of the world, EU countries, US states, the counties or cities of a state, US cities, the regions of a country, the municipalities of a Spanish province. Use it for "which state has the highest unemployment", "top 10 countries by GDP per capita", "poorest counties in Texas", "EU countries with the lowest inflation". level is the level of the ranked places (country, region, province, municipality); within is the area they belong to. US states are regions of "United States"; US counties are provinces of a state; US cities are municipalities of "United States" or of a state; EU NUTS 2 regions are regions of "EU" or of a country. Example: {"indicator": "unemployment_rate", "level": "region", "within": "United States", "limit": 5}. Countries of the world: {"indicator": "population", "level": "country"}. Returns {indicator, level, within, period, comparable, order, total, values: [{rank, place, value, status?}], source, notes?}. Every value comes from one source and one period. order "asc" lists the lowest first. Cite source.citation. For rates across municipalities pass min_population (for example 5000) so very small places, where a few people move the rate, do not top the list. transform ranks a calculated figure: per_capita, per_1000 or per_100k for totals (population from one series for every place), yoy or yoy_diff for change from a year earlier. Example: {"indicator": "gdp_usd", "level": "region", "within": "United States", "transform": "per_capita"}. Each value lists its inputs; places without an input are left out and counted in notes.
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  • Estimate the KrisFlyer miles and Elite miles a Singapore Airlines flight earns. Miles = great-circle miles x booking class % (F/A 200; Z/C/J 150; U, D 125; S/T 125; L/P, R 100; Y/B/E 100; M/H/W 75; Q/N, V/K, G 50). Elite miles use the same %. Elite Silver and PPS Club add 25% of miles flown (not on Q, N, V, K, G); Elite Gold gets none here, as Singapore Airlines publishes no figure for it; tier bonuses are not Elite miles. Give segs: one entry per one-way flight, in order, with its great-circle miles (calculate_flight_distance gives them) and the ISO country codes of its two airports. Takes no price. Uses cwsi.net's calculator and the airline's published rules. Unofficial.
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  • Use this when someone planning posts, promotions or opening hours needs the public holidays, state holidays or big shopping/observance days for Malaysia, Singapore, Indonesia, Philippines, Thailand, United States, Canada, United Kingdom, Australia or the UAE, for example 'when is Hari Raya this year' or 'holidays in Malaysia next month'. Returns dates verified against the official government list and a second independent calendar, which regions/states each one applies to, and lunar holidays that are expected but not yet confirmed (clearly marked). Do not use it for other countries, for school terms, or to invent dates it doesn't return.
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  • List all supported ISO 4217 currency codes and their full names (e.g. { 'USD': 'United States Dollar' }).
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  • List available service request categories and types for a country. Returns service types grouped by category (e.g., Infrastructure, Utilities, Parks). Use this to discover valid service_type_id values for submit_service_request. Supported countries: US, IE (Ireland), GB (United Kingdom).
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  • Update one saved traveler profile preference for the signed-in user. Requires an OAuth 2.0 access token with the profile.write scope. Allowed fields: currency, units, sourceAirportCode, passports, visas, passportHolder, airlines, destinationInterests, activityInterests, lists.bookmarked, and lists.ignored. This cannot delete the account, unlink messengers, or change email. Intentionally omitted from OpenAI/ChatGPT tools/list while should_list_profile_preference_tools is false. Ora and other hosts still see the tool; implementation and OAuth gating stay.
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  • Get observation values for an ILOSTAT dataflow (dataflow_id from ilostat.dataflows). Use key (from ilostat.structure) to filter by country/frequency/measure/sex/age, e.g. "USA.A....." for United States annual data, all other dimensions unfiltered. Control the time range with start_period/end_period or last_n_observations. Data: sdmx.ilo.org (ILOSTAT SDMX public REST API), no auth required.
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