"American Airlines" matching MCP tools:

• search_indicators

  American Default Research

  Search the 96-indicator registry by keyword. Returns ranked matches (up to `limit`, default 10, max 50) with slug, branded name, underlying name, category, and canonical URL. Scoring is substring+prefix over slug, branded_name, name, and category — e.g. query 'savings' returns both The Buffer (personal saving rate) and The Safety Net (emergency savings survey). Use this when you want to discover which slug corresponds to a concept before calling `get_indicator`.

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• get_todays_projections

  olympus-bets-analytics

  Return today's free sports betting projections published by Olympus Bets Analytics. Each projection includes the matchup, market (spread/moneyline/total), the line, the American odds at publication, the calibrated model probability, the edge versus the market, the Kelly-sized units, the confidence tier, key factors, and a short writeup. These are PUBLIC projections — the same set published on https://app.olympus-bets.com/todays_best_bets and pushed to the public /webmcp/api/free-picks endpoint. Premium tier projections are not exposed here. Args: league: Optional league filter (e.g. "NBA", "NHL", "MLB", "CBB", "NFL", "SOCCER", "LOL", "GOLF"). Omit to return all leagues. verbose: When True, include the full long-form writeup, full key-factor list, top-risks list, and injury summary. Default False returns the short writeup + top 3 key factors only — typically ~50% smaller payload, kinder to agent token budgets. Set verbose=True when an agent specifically wants the detail (e.g., user asked "explain this pick"). Returns: ``{date, total, leagues_active, projections: [...]}``

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• get_sharp_line

  infersports

  Answer an odds question about a fixture in ONE call (natural language in, worked line out). Resolves the fixture, picks the consensus line, the best price per outcome across books, and de-vigged fair odds from the sharpest book — returning a ready-to-read ``summary`` plus the full ``comparison``. Prefer this over chaining find_match → compare_lines. Args: query: natural-language fixture, e.g. "Arsenal vs Man City" or a single team. market_type: "1x2", "asian_handicap" (default) or "totals". period: "full_time" (default) or "half_time". format: odds format — decimal | hk | malay | american | indonesian | probability. sport: optional filter — "football" or "basketball". date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. verbosity: "full" (default) or "terse". "terse" empties the per-book ``books`` array inside ``comparison`` to save tokens; the ``summary`` and worked numbers are kept either way. On an ambiguous query, ``status`` is "ambiguous" and ``ask_user`` carries a disambiguation prompt — do not assume a match; ask the user or re-call with a more specific query. A ``decision`` block (``safe_to_proceed`` / ``ask_user`` / ``next_action``) pre-computes the go/no-go — branch on it instead of re-judging the result.

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• search_all_airlines

  Award Travel Finder

  Search award flight availability across ALL supported airlines for a route and date. Searches British Airways, Cathay Pacific, Virgin Atlantic, Alaska Airlines, and American Airlines in parallel. Returns combined results grouped by airline. This is the recommended starting point — use single-airline search only if you need a specific airline. Requires sign-in. Free accounts get 5 economy searches/day; paid plans get unlimited searches across every cabin.

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• get_opening_line

  infersports

  Get the opening odds (初盘) for a fixture, paired with the current price, in ONE call. Resolves the fixture, then for each book returns its **true opening** (first-seen) quote alongside the current quote — so you can read movement directly. For 1x2 that's a price move; for totals/AH compare ``line`` (the opening line) vs ``current_line`` to read the line move (the sharp book often opens days earlier). A market with no opening yet on file is omitted. Args: query: natural-language fixture, e.g. "Real Madrid vs Barcelona" or a single team. markets: optional filter — any of "1x2", "asian_handicap", "totals". bookmakers: optional filter — bookmaker keys, e.g. ["pinnacle", "crown"]. period: optional — "full_time" or "half_time" (default: both). format: odds format — decimal | hk | malay | american | indonesian | probability. sport: optional filter — "football" or "basketball". date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. On an ambiguous query, ``status`` is "ambiguous" and ``ask_user`` carries a disambiguation prompt — do not assume a match. Best-effort: a book/line with no opening on file is omitted.

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• get_adi_composite

  American Default Research

  Fetch the latest quarterly reading of the American Distress Index (ADI) composite. Returns composite score (0-100), zone, composite Z-score, and the 5-component breakdown (Buffer, Debt Stress, Financial Conditions, Cost Pressure, Labor) with Z-scores and point contributions. Updated quarterly.

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• list_flight_bookings

  Award Travel Finder

  List all tracked flight award bookings/redemptions. Shows airlines, routes, points spent, and cabin classes.

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• google_flights_round_trip

  Searchapi

  Search for round-trip flights using Google Flights. Returns flight options with airlines, departure/arrival times, prices, and booking information. **Workflow for selecting flights:** 1. Search with departure_id, arrival_id, outbound_date, and return_date to get outbound flight options 2. Each outbound flight includes a departure_token 3. Call again with departure_token to see return flight options for that outbound flight 4. Selected flight pairs include a booking_token for final booking details For one-way flights, use google_flights_one_way instead. For flexible date searches, use google_flights_calendar_round_trip to find the cheapest date combinations first.

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• get_indicator

  American Default Research

  Fetch a compact snapshot of an American Default economic indicator by slug. Returns latest value, unit, frequency, direction, pre-computed aggregates (period averages, extremes, sustained runs), editorial prose (when available), and canonical APA / MLA / Chicago / news-copy citations. Raw historical series is NOT included — use https://americandefault.org/api/indicators/{slug}.json for the full data. Slug examples: 'the-buffer' (personal savings rate), 'mortgage-delinquency', 'initial-unemployment-claims-sa'.

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• get_county_scorecard

  American Default Research

  Fetch a county's County Distress Index (CDI) scorecard by 5-digit FIPS code. Returns composite score (0-100), zone (Healthy / Normal / Elevated / Serious / Crisis), national + state rank, 5-domain breakdown (Consumer Credit Distress, Housing Cost Burden, Structural Poverty, Economic Vitality, Legal Distress), key findings, and pre-baked APA / MLA / Chicago / news-copy citations. Accepts 4-digit FIPS with implicit leading zero. 3,144 counties available.

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• find_value

  infersports

  Find +EV value bets in a fixture — where a book's price beats the sharp fair line — in ONE call. Resolves the fixture, de-vigs the sharp book (Pinnacle) at each line to get the fair price, then flags every outcome whose best available price across books exceeds that fair price. DETECTION ONLY: this surfaces the edge and which book holds it; it does NOT size stakes or link out to bet. Args: query: natural-language fixture, e.g. "Netherlands vs Algeria" or a single team. markets: optional filter — any of "1x2", "asian_handicap", "totals" (default: all). period: optional — "full_time" or "half_time" (default: both). min_edge_pct: only report outcomes beating fair by at least this % (default 1.0). format: odds format — decimal | hk | malay | american | indonesian | probability. sport: optional filter — "football" or "basketball". date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. On an ambiguous query, ``status`` is "ambiguous" and ``ask_user`` carries a prompt — do not guess. Needs the sharp book to de-vig; on the Free tier ``note`` flags that fair is approximate.

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• rowhint_get_config_overview

  seat-intelligence

  Get a summary of an aircraft configuration including total seats, cabin layout, best and worst seats per cabin, and facility locations (galleys, lavatories). Use when someone asks "Tell me about the American Airlines 787-9" or wants a general overview before choosing a seat. Also use to discover valid config_ids for other tools.

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• find_arbitrage

  infersports

  Find cross-book arbitrage in a fixture — a guaranteed-profit price split — in ONE call. Resolves the fixture, then for each market/line takes the best price per outcome across books; when the inverse prices sum to < 1 there is a locked margin regardless of result. Reports the margin % and which book holds each leg (legs must come from ≥2 distinct books). DETECTION ONLY: no stake sizing, no bet links — InferSports is read-only. Args: query: natural-language fixture, e.g. "Netherlands vs Algeria" or a single team. markets: optional filter — any of "1x2", "asian_handicap", "totals" (default: all). period: optional — "full_time" or "half_time" (default: both). min_margin_pct: only report opportunities with at least this guaranteed margin (default 0). format: odds format — decimal | hk | malay | american | indonesian | probability. sport: optional filter — "football" or "basketball". date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. On an ambiguous query, ``status`` is "ambiguous" and ``ask_user`` carries a prompt — do not guess.

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• synthesize_speech

  Speech AI - Pronunciation, STT & TTS

  Generate natural speech audio from English text. Produces high-quality speech with 12 English voices. Returns base64-encoded WAV audio (16-bit PCM, 24kHz mono) along with metadata. Available voices: - af_heart (default), af_bella, af_nicole, af_sarah, af_sky (American female) - am_adam, am_michael (American male) - bf_emma, bf_isabella (British female) - bm_george, bm_lewis, bm_daniel (British male) Args: text: English text to synthesize (1-5000 characters). voice: Voice ID. See list above. Defaults to 'af_heart'. speed: Speed multiplier from 0.5 to 2.0 (default: 1.0). Returns: dict with keys: - audio_base64 (str): Base64-encoded WAV audio (16-bit PCM, 24kHz) - duration_ms (str): Audio duration in milliseconds - voice (str): Voice ID used - text_length (str): Input text character count - processing_ms (str): Synthesis time in milliseconds

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• get_rail_freight_status

  SupplyMaven MCP Server

  Get US freight rail performance metrics including average train speed, terminal dwell time, cars on line, trains held per day, railcars not moved within 48 hours, total carloadings, intermodal units, and grain transport rates. Sourced from the Surface Transportation Board railroad service metrics, Association of American Railroads carloading data, and USDA grain transportation reports. When rail slows down, inland supply chains back up within days — this data provides early warning of freight bottlenecks across the US rail network.

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• GetTerritoryWealthProfile

  Fintel Discovery — Financial Intelligence for AI Agents

  Retrieve US Census American Community Survey (ACS) income and wealth proxy data for a ZIP code or state. Returns median household income, median home value, total household count, and the count and share of households earning $100k or more — useful for scoring territory opportunity for financial advisors. Key metrics returned: - median_hh_income: Median household income (B19013) - median_home_value: Median owner-occupied home value (B25077) - total_households: Total household count (B11001) - hh_100k_plus: Households earning $100k+ (derived) - hh_100k_plus_pct: Share of households earning $100k+ (derived) Use this tool when: - You are scoring a territory for wealth potential by ZIP code - You want to compare household income distribution across territories - You need a demographic wealth proxy before overlaying advisor AUM data Requires cenpy Python package and optionally a free Census API key (api.census.gov/data/key_signup.html). Source: US Census Bureau ACS 5-Year estimates. Free with optional API key.

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• heartbeats-since-birth

  Microapp

  Estimate the total number of heartbeats a person has had since birth, given their date of birth and a reference 'now' timestamp. Uses an average resting heart rate of 80 bpm (American Heart Association adult midpoint) by default; the caller can override. Returns heartbeats, breaths, minutes alive, and days alive.

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• airline_lookup

  FreightUtils MCP Server

  Search 6,352 airlines by name, IATA/ICAO code, AWB prefix, or country. AWB prefixes are 3-digit codes on air waybills identifying the carrier (e.g., 176 = Emirates).

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• get_county_demographics

  Census ACS Demographics

  Get demographic data for counties: population, median age, race, Hispanic origin, income, and poverty. Returns one record per county with total population, median age, racial breakdown (White, Black, American Indian, Asian, Pacific Islander, Other, Two+), Hispanic/Latino percentage, median household income, and poverty rate. Args: state: Two-letter state abbreviation (e.g. 'WA', 'CA') or 2-digit FIPS code. county_fips: Three-digit county FIPS code (e.g. '033' for King County). Omit to get all counties in the state. year: ACS 5-year estimate year (default 2022). Data covers year-4 through year.

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• get_match_odds

  infersports

  Get all current odds for a match across bookmakers. Args: event_id: event id from find_match / list_today_matches (e.g. "evt_…"). markets: optional filter — any of "1x2", "asian_handicap", "totals". bookmakers: optional filter — bookmaker keys, e.g. ["pinnacle", "crown"]. period: optional — "full_time" or "half_time" (default: both). format: odds format — decimal | hk | malay | american | indonesian | probability.

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