"VEGAS" matching MCP tools:

• weather_forecast_las-vegasA

  x402-factoryB

  Hourly Las Vegas weather forecast (blend model, method labeled). Hourly weather forecast for Las Vegas: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the Las Vegas coordinates built in. [HTTP: GET /v1/forecast/las-vegas · price dynamic ($0.01 for hours ≤ 48, $0.03 beyond) via x402 · docs https://x402-factory.com/docs/weather.forecast.las-vegas]

  ConnectorNo auth

• weather_forecast-window_las-vegasA

  x402-factoryB

  Will it rain in Las Vegas during your event window. Event-window weather odds for Las Vegas: pass a start and end time (or omit them for the next six hours) and get rain probability and expected conditions across the window — built for scheduling decisions. Same shape as /v1/forecast/window with the Las Vegas coordinates built in. [HTTP: GET /v1/forecast/las-vegas/window · price $0.02 via x402 · docs https://x402-factory.com/docs/weather.forecast-window.las-vegas]

  ConnectorNo auth

• tegas_upload_referenceA

  Tegas AIA

  Free (requires an active plan). Upload one reference image and get a `reference_id` to reuse: a product photo, a character, a brand shot. Give exactly one of image_base64 or file_path. image_base64 - the image bytes as base64 (a `data:image/png;base64,...` URL is also accepted); this is the way for any remote agent, because the image never has to be public. file_path - a path on the FILESYSTEM OF THE MCP SERVER, so it only works for local / self-hosted runs where the server and the agent are on the same machine, and only when the server enables it (otherwise the tool answers with code local_files_disabled - then send image_base64 instead). Formats jpeg, png, webp, heic, up to 10 MB, shorter side at least 360 px, longer at most 4096 px. Bad input comes back as validation_error with details.reason, before anything is uploaded: one_source_required (gave both or neither), bad_base64, empty, not_image, too_small, too_large_dimensions, too_large; a file_path that cannot be read is file_not_readable, and a server that forbids local files answers with code local_files_disabled. label - a short note (e.g. "hero", "product"), optional, kept to the first 120 characters. Returns reference_id, the stored url, the label and a model-written description. The reference expires together with scenarios (the server's scenario TTL, 7 days by default), so upload it again for a later video. Pass the returned reference_id in `reference_urls` of tegas_write_scenario or tegas_start_video - no public link needed. Errors: no_active_plan -> ask the user to activate a plan in the cabinet.

  ConnectorOAuth

• tegas_upload_musicA

  Tegas AIA

  Free (requires an active plan). Upload one music track and get a `url` to reuse in tegas_edit_video's `music.url`. Give exactly one of audio_base64 or file_path. audio_base64 - the audio bytes as base64 (a `data:audio/mpeg;base64,...` URL is also accepted); this is the way for any remote agent, because the file never has to be public. file_path - a path on the FILESYSTEM OF THE MCP SERVER, so it only works for local / self-hosted runs where the server and the agent are on the same machine, and only when the server enables it (otherwise the tool answers with code local_files_disabled - then send audio_base64 instead). Formats mp3, wav, m4a, up to 25 MB. Bad input comes back as validation_error with details.reason, before anything is uploaded: one_source_required (gave both or neither), bad_base64, empty, not_audio, too_large; a file_path that cannot be read is file_not_readable, and a server that forbids local files answers with code local_files_disabled. label - a short note (e.g. "background track"), optional, kept to the first 120 characters. Returns music_id, the stored url, the label and expires_at. Pass the returned url in `music.url` of tegas_edit_video (and set `music.enabled` to true if music was off). Errors: no_active_plan -> ask the user to activate a plan in the cabinet.

  ConnectorOAuth

• tegas_start_videoA

  Tegas AIA

  PAID. Start rendering a video from a Tessa scenario (scenario_id) or your own scenario_text - exactly one of them. Cost = tokens_per_second[quality] x duration_sec (see tegas_account); pass duration_sec returned by tegas_write_scenario so the quote is exact. With confirm=false (default) nothing is started: the tool returns needs_confirmation=true with the price and the balance - show them to the user and ask for consent. Only after an explicit "yes" call again with confirm=true; it then starts the render and returns video_id with status queued plus the idempotency_key used. If the call times out or fails with a network error, retry with the same idempotency_key (it makes the retry free of double charge); never start twice without it. Then call tegas_wait_video. quality 480p | 720p | 1080p; voice - id from tegas_voices (omit for the default); music, subtitles (style tiktok | phrases | contrast); reference_urls - product/character images; watermark - the Tegas watermark on the finished video, omit to keep the account default. Errors: insufficient_tokens -> ask the user to top up in the cabinet; no_active_plan -> ask them to activate a plan; rate_limited with details.active -> wait for a running video to finish.

  ConnectorOAuth

• check_routeA

  commutescoutA

  Check current conditions along a major California highway corridor. The flagship trip-check tool: give it a start and end place and it returns everything active along that stretch right now - CHP incidents, lane closures physically in place, chain controls, and wildfires within ~10 miles - ordered by miles from the start, plus a summary. ALWAYS pass from_coords and to_coords ("lat,lon") when you know where the places are - for landmarks, small towns, or anything not a major city they are required for a good answer. Coordinates do two things: they let unlisted places resolve to the nearest corridor (e.g. "Alice's Restaurant" snaps to I-280 on the Peninsula), and they CLIP the route to the span actually being driven, so a trip to a mid-corridor destination doesn't report events beyond it. Corridors covered: I-80 Sacramento-Reno, US-50 to South Lake Tahoe, I-5, US-101, SR-17, SR-99, SR-1, I-15 to Vegas, Bay Area freeways, Tahoe-area routes. This is NOT a general router: if nothing matches (even with coordinates), the response lists the covered corridors; fall back to the filtered tools with center= for anything else. Freshness: CHP incidents refresh about once a minute; closures, chain controls, and fires are on a 5-minute cache. Current conditions only - this cannot forecast tomorrow's weather or closures.

  ConnectorNo auth

• tegas_draw_heroesA

  Tegas AIA

  PAID. Draw hero sheets for the brief items chosen by `index` (from tegas_find_heroes, up to 3). Cost = price_each_tokens x number of items; pass price_each_tokens from tegas_find_heroes to avoid recomputing the brief. With confirm=false (default) nothing is drawn: the tool returns needs_confirmation=true and the price - show it to the user and ask for consent. Only after an explicit "yes" call again with confirm=true. Drawn sheets are attached to the scenario and used automatically by tegas_start_video with the same scenario_id. The result carries idempotency_key: if the call times out or fails with a network error, retry with the same idempotency_key - never start twice without it. On insufficient_tokens ask the user to top up; on no_active_plan ask them to activate a plan in the cabinet.

  ConnectorOAuth

• group_expensesA

  ExpenseBotA

  Group an exact set of recorded expenses for a client, project, trip, job, or other user-named purpose. Examples: 'group my Mexico meals for client Rob', 'put these Vegas expenses under the Vegas project', or 'group these for client Rob and create a report'. The user does not need to know about tags: ExpenseBot resolves the requested name against existing groups and proposes creating one only when needed. Use exact expenseId values returned by search_expenses. A grounded preview is automatic for every bulk request; the user does not need to ask for one. First call with confirm omitted/false, show the returned exact rows, count, totals, proposed group, exclusions, and conflicts, then ask for approval. Only after explicit user approval, repeat the same operationId and selection with confirm:true. A premature confirm:true is converted to preview. When the request includes a report, set createReport:true on that confirmed group_expenses call and use its report result; do not run a separate broader create_report query. For 'without personal expenses', set excludePersonal:true; ExpenseBot removes Personal-tagged and Personal-category rows before preview so their Personal marker is never overwritten. The confirmed operation returns exact report and Bill Client links. Expenses already assigned to another ordinary report are excluded; if none remain, no duplicate report is created and the result links to Reports instead. Keep the user-facing response concise and do not add unsolicited tax or substantiation advice. Do not call check_compliance, get_report_details, or tax/deductibility tools before or after this workflow unless the user explicitly asks for that separate analysis. In user-facing prose call the destination a group, not a tag. Treat preview totals as provisional; after confirmation use only the terminal result's exact count, total, and currency without reconciling it against the preview. A returned Bill Client URL opens the reviewed billing handoff and does not mean an invoice was created, sent, or confirmed. Sharing remains a separate share_report action with recipient confirmation.

  Connector

  Destructive

  No auth

• tegas_accountA

  Tegas AIA

  Free. Account overview: token balance, whether a plan is active, rate limits and the current price in tokens per second of video for each quality (480p/720p/1080p). Call this first to know the balance, and before starting a video to compute price = tokens_per_second[quality] * duration_sec. If plan.active is false, POST-type tools (scenario, heroes, video) will fail with no_active_plan: tell the user to activate a plan in the Tegas cabinet. If the balance is lower than a price, the start will fail with insufficient_tokens: tell the user to top up tokens in the cabinet.

  ConnectorOAuth

• tegas_voicesA

  Tegas AIA

  Free. List voice-over voices for a language (ru, en, es, fr, de). Each item has an `id` that can be passed as `voice` to tegas_start_video; when `voice` is omitted the default natural voice is used, so calling this is optional.

  ConnectorOAuth

• score_facilityA

  DC HubA

  Use when a user wants an independent 0-100 grade for ONE existing facility across 7 dimensions — power, fiber, water, climate_risk, tax_environment, talent_pool, expansion. Example: "How does the CoreWeave Las Vegas site score, power-weighted?" — score_facility facility_id=<id> weighting=power_priority. Params: facility_id or name (required); weighting one of "balanced" (default) | "power_priority" | "risk_priority" | "expansion_priority". Returns: composite 0-100, tier_classification, peer comparison, and per-dimension detail. Do NOT use for a raw lat/lon parcel (use analyze_site), to compare 2 or more sites (use compare_sites), or to find similar sites (use find_alternatives).

  ConnectorNo auth

• get_sample_dataA

  SenzingA

  Get sample data for entity resolution. Available datasets: 'las-vegas', 'london', 'moscow' (CORD — Collections Of Relatable Data, REAL historical data) and 'truthset' (Senzing's SYNTHETIC demo truth set: CUSTOMERS, REFERENCE, WATCHLIST). Use dataset='list' to discover datasets, source='list' to see the sources/vendors within a dataset. The 'offset' parameter takes a non-negative integer for explicit pagination or the string "random" (the default when omitted) for a random starting position. IMPORTANT: The three CORD datasets ('las-vegas', 'london', 'moscow') are REAL data (not synthetic) — historical snapshots for evaluation only, not operational use. Always inform the user of this. This does NOT apply to 'truthset', which is Senzing's own synthetic demo truth set (github.com/Senzing/truth-sets) — do not describe those records as real people's data. Each response's citation carries the provenance for the dataset actually returned; follow it rather than this summary. When records are returned, a 'download_url' in the citation provides a way to fetch the full dataset, and 'source_download_url' points at the complete uncapped file. Always present the fetch instruction to the user exactly as given. Downloading the dataset TO DISK is expected and encouraged whenever the user wants the data — run the returned download instruction in a shell (a URL to fetch with curl/wget, or a local command) to write it to a file, and work from that file. What you must NOT do is pull the dataset INTO THE CONVERSATION: never echo, cat, paste or summarise raw records back into context, because these files run to hundreds of thousands of records. The inline records above are a small preview of the data shape, not the delivery mechanism. (An earlier wording of this line said only 'Do NOT download it yourself', which was read as a blanket ban on fetching and left users downloading files by hand.) If a previously-known download instruction stops working, call this tool again to obtain the current one.

  ConnectorNo auth

• search_hotelsA

  Roomza Hotel IntelligenceA

  DISCOVERY ONLY: search Roomza's hotel database by city, keyword, or natural language query when the user has NOT named a specific hotel. Understands hotel types (boutique, resort, luxury), vibes (romantic, trendy, quiet), traveler types (couples, families, solo), neighborhoods, and nearby landmarks. Example queries: 'boutique hotels in SoHo', 'romantic resort near the Eiffel Tower', 'pet-friendly hotel in Seattle'. Renders for the user as a full map with a multi-hotel list (so do not repeat the list in prose). NEVER use this when the user names one specific hotel (e.g. 'Wynn Las Vegas'): the map of many hotels is wrong for that. Call get_hotel with the hotel name instead, then get_hotel_rooms and show_rooms.

  ConnectorNo auth

• get_city_statsA

  AgentWorldB

  [FREE] Get stats for AgentWorld cities: agent count, avg wealth, GDP, pay multiplier. Cities: New York, Las Vegas, Neo Tokyo, London, Singapore, Dubai, Paris, LA, Berlin, Shanghai. Paris 1.4x | Singapore 1.35x | Dubai 1.25x | London 1.15x | Others 1.0x. Leave city empty to get all 10 cities.

  ConnectorNo auth

• tegas_write_scenarioA

  Tegas AIA

  Free (requires an active plan). Tessa writes a complete video scenario from an idea in one call, without asking questions. duration_sec 5..60, aspect 9:16 | 16:9 | 1:1. reference_urls: public image URLs of a product/character (or reference_id `ref_...`), optional. Returns scenario_id (valid for a few days), the scenario text, episodes with per-episode durations, warnings and the actual duration_sec (may differ from the requested one). Typical flow: tegas_write_scenario -> (optional) tegas_find_heroes / tegas_draw_heroes -> tegas_start_video with confirm=false to get the price -> user consent -> confirm=true -> tegas_wait_video. Keep the returned duration_sec: pass it to tegas_start_video for the quote. Show the scenario text to the user; call again with a refined idea if they want changes.

  ConnectorOAuth

• tegas_edit_videoA

  Tegas AIA

  Free (no tokens charged). Edit a finished video in place and rebuild it: this REPLACES the whole video end to end and typically takes a few minutes, the same as the original render - it is not a quick patch. Tell the user what you are about to change before calling this, then poll with tegas_wait_video (or tegas_video_status) after the call; do not call this again for the same video until the rebuild finishes. Pass at least one of the groups below; omit a group entirely to leave it untouched: - scenes: list of {"index": int, "voiceover_text"?: str, "subtitles_text"?: str, "video_url"?: str} - one entry per scene to change, each needs at least one of the three fields. - voice: {"id"?: str, "gender"?: "female"|"male", "language"?: "ru"|"en"|"es"|"fr"|"de"} - changing any of id/gender/language RE-VOICES EVERY SCENE that has voice-over text, not just the ones listed in `scenes`. - subtitles: {"enabled"?: bool, "style"?: "tiktok"|"phrases"|"contrast", "appearance"?: {"alignment"?, "font_size"?, "font_family"?, "text_color"? (hex "#RRGGBB"), "color_saturation"?}} - you cannot disable subtitles and set their style/appearance in the same call, that fails with 422 validation_error; disable them in one call and restyle in a later one. - music: {"enabled"?: bool, "url"?: str} - url must come from tegas_upload_music (or another public https URL). - volumes: {"voice"?: int, "music"?: int, "master"?: int} - each 0..100. - watermark: bool - the Tegas watermark on the finished video. Must be the ONLY change in the call, not combined with scenes/voice/subtitles/music/volumes: the renderer rebuilds the watermark through a separate step, so mixing it with other changes fails with 422 validation_error. Change the watermark in its own call. Returns video_id, status "processing" and edits_accepted - the list of groups that were actually applied (e.g. ["voice", "subtitles"], or ["watermark"] for a watermark-only edit). If the video is still rendering or being rebuilt from a previous edit, this fails with 409 video_busy - wait for status completed (tegas_wait_video) and try again, do not retry immediately in a loop.

  Connector

  Destructive

  OAuth

• get_city_statsA

  AgentWorld — Live AI Agent EconomyB

  [FREE] Get stats for AgentWorld cities: agent count, avg wealth, GDP, pay multiplier. Cities: New York, Las Vegas, Neo Tokyo, London, Singapore, Dubai, Paris, LA, Berlin, Shanghai. Paris 1.4x | Singapore 1.35x | Dubai 1.25x | London 1.15x | Others 1.0x. Leave city empty to get all 10 cities.

  ConnectorNo auth

• case_shiller_metro_compareA

  Housing IntelA

  Compare Case-Shiller home price indices across multiple US metros in one call (the 20-city composite). For each metro returns latest level, 3-month change, 12-month change, all-time peak, drawdown from peak, and a softening flag. Output also ranks metros softest → strongest. Use for "which metros are softening", "Case-Shiller for [list of cities]", "compare housing prices in X, Y, Z" queries — picks the right per-metro FRED series IDs (DNXRSA, PHXRSA, TPXRSA, etc.) so callers don't have to. Available metros: Atlanta, Boston, Charlotte, Chicago, Cleveland, Dallas, Denver, Detroit, Las Vegas, Los Angeles, Miami, Minneapolis, New York, Phoenix, Portland, San Diego, San Francisco, Seattle, Tampa, Washington DC. NOT A CURRENT-MARKET READ: Case-Shiller is monthly, published on a roughly two-month lag, and each value is a three-month moving average — so the newest observation is typically 90-120 days old and describes a trailing quarter. The `freshness` block states the exact age of the call you made.

  ConnectorNo auth

• get_hotelA

  Roomza Hotel IntelligenceA

  Get full details for a hotel including: Roomza Truth summary, score breakdown, top strengths, hotel character (type, vibes, best-for), nearby landmarks with distances, neighborhood, awards, amenities, and review highlights from the open web. Use hotel name, slug, or UUID as the identifier. This is the FIRST call when the user names a specific hotel ('Wynn Las Vegas') — no search_hotels needed; the name resolves directly.

  ConnectorNo auth

• tegas_wait_videoA

  Tegas AIA

  Free. Wait for a video: polls the status every 10 s until completed (returns file_url), failed (returns error; tokens are refunded) or timeout_sec elapses (returns the last status with timed_out=true - call again to keep waiting). A 20-30 s video usually takes a few minutes.

  ConnectorOAuth

• uuidA

  vegaB

  Generate a random UUID v4.

  ConnectorNo auth