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Blue Pillow Hotels & Stays

com.bluepillow/hotelsVersion 1.1.0

Neutral hotel & stay price comparison for AI agents: live prices from 16+ booking sites. No signup.

Status

Responds92 msAnswered our handshake without sign-in.

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Last checked
Nov 14, 2026, 13:49 UTC
Latency
92 ms
Remotes responding
1 of 1
Sign-in
No sign-in
Hosting
EU hosting detected (detected, not a legal statement)
Registry data as of
Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP
https://mcp.b2a.bluepillow.com/Responds92 ms
No sign-in

Claude Code

claude mcp add --transport http hotels https://mcp.b2a.bluepillow.com/

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: hotels
Remote MCP server URL: https://mcp.b2a.bluepillow.com/

Cursor

{
  "mcpServers": {
    "hotels": {
      "url": "https://mcp.b2a.bluepillow.com/"
    }
  }
}

VS Code

code --add-mcp '{"name":"hotels","type":"http","url":"https://mcp.b2a.bluepillow.com/"}'

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Tools

6 tools

Tools of Blue Pillow Hotels & Stays
Read-only
Idempotent
Open world
check_property_availabilityLive availability and per-operator quote for a specific property over a specific stay window. Performs a live date-aware lookup against the BluePillow search layer, returns date-specific prices, rooms-left scarcity signals, breakfast-included and refundable flags, and a per-operator deep link to complete the booking. Useful when the user has specific dates in mind for a property they already identified — typically via `search_stays` or `get_property_details`. The complementary `get_property_details` tool answers "what is this property like" with static facts; this tool answers "can I book it for these dates at what price" with live, date-specific data. Follow-up questions about a property from an earlier `search_stays` result — is it still available, what does it cost for other dates or guests — use that result's `id` as `property_id`. Required input: `property_id` (the `id` from a `search_stays` result, opaque string starting with `prop_`), `dates` (check_in + check_out, ISO 8601), and `guests` (adults / children / infants composition). Without these the live lookup cannot proceed. Natural-language date references — "tonight", "this weekend", "next weekend", "the weekend of July 4", "Memorial Day weekend", "long weekend in May" — translate to concrete check_in / check_out values at the call site; concrete ISO dates also work. check_in is a date in the real-time calendar that is today or later; past values are rejected at the API boundary. `user_country`, `currency`, and `language` carry the **user's** locale, not the property's. Prices are returned in `currency` if set, else derived from `user_country`, else **USD** — pass `user_country` and/or `currency` whenever you know the user's location/currency so the quote matches what they'll pay; don't rely on the USD default. `user_country` and `language` also localize the `web_url` booking link. Response shape: - `availability_status` — `available`, `unavailable`, or `unknown`. Available means rooms confirmed aNoYesNot declaredYes
discover_destinations_nearCurated destinations — cities, neighborhoods, airports, points of interest — within a radius of a geographic point, for use as a `destination_id` in subsequent `search_stays` calls. Useful when coordinates are already in hand (from world knowledge, from a previous tool result, or directly from the user) and the agent needs to enumerate which curated destinations cover that area before searching for properties. Also useful as a fan-out entry point for region-level intents — broad areas such as 'Tuscany', 'Pacific Northwest', 'New England', or 'Central Europe' — where the agent can pass an approximate regional centroid and surface a list of sub-destinations the user may then narrow down to before a focused search. Returns up to 5 candidates ordered by distance. The radius defaults to 5 km; widens up to 50 km for broader queries.NoYesNot declaredYes
get_anonymous_keyIssues a free anonymous key for Blue Pillow Hotels & Stays, with no account or sign-up. The other tools of this server take the key in their `api_key` argument. A key does not expire, so the same key can be used for later calls; calling this tool again issues a new one. Keys carry per-key rate limits and let Blue Pillow count usage and booking-link referrals per key, as described in the privacy policy (https://b2a.bluepillow.com/legal/privacy). Optional ``label`` and ``agent`` (max 64 chars each) are stored with the key to name the client that requested it (e.g. 'claude-desktop', 'chatgpt', 'cursor-ide'); they should not contain personal data and do not affect rate limits or capabilities. Integrators who need higher limits can write to info@bluepillow.com. NoNoNoNo
get_property_detailsDetails and guest reviews for one specific property — hotel, B&B, hostel, apartment, villa — identified by its id. Answers questions such as what guests think of it, whether it is clean, quiet or comfortable, the most common complaints, how the breakfast is, which facilities it offers, where exactly it is, or how it compares with another option. It also serves follow-up questions about a property returned earlier by `search_stays`: the `id` of that result is the `property_id` here. Returns the amenity list, photos, booking sources, location and the headline rating (`rating` + `rating_count`). Guest-review data is added through `include`: - `reviews_aggregate` — score, total count and per-source breakdown; it summarizes all reviews. - `reviews_sample` — up to 5 recent review texts. - `reviews_extended` — up to 20 recent review texts for a deeper read; it supersedes `reviews_sample`. `reviews_meta` reports how many texts exist and that the cap is deliberate: the omitted texts are older, and the aggregate already reflects them. It takes no dates and carries no price: a price only exists for a concrete stay window, which is what `check_property_availability` quotes. In the response `price` is null, `offers` is empty and `availability_status` is `unknown`. Input: `property_id` is the `id` of a `search_stays` result (an opaque string starting with `prop_`) or a bluepillow.com property URL. For a property known only by name, `resolve_destination` and a targeted `search_stays` return its id. `user_country`, `currency` and `language` carry the user's locale and localize the `web_url` link to the property page. Language default is "en"; country default is "US". All rating fields are on a 0-5 scale. NoYesNot declaredYes
resolve_destinationConverts a destination name into a destination id usable in `search_stays`. The canonical entry point when the user's request mentions a place name and coordinates are not already known from a prior call in this session. If coordinates are already in hand from an earlier tool result, passing them directly to `search_stays` skips this resolver step. Accepts cities, neighborhoods, airports, points of interest, and named areas such as islands or districts ('Tenerife', 'Crete', 'Trastevere'), written locally or in English. Names are matched against Blue Pillow's own place slugs, which exist for English, Italian, German and Spanish; in other languages the English name is the most reliable. Accents are optional — 'São Paulo' and 'Sao Paulo' resolve alike. A qualifier after the name is tolerated ('Austin, Texas'). The `country` parameter disambiguates names that occur in multiple places (for example Springfield MA vs Springfield IL vs Springfield MO). The `type` parameter narrows the kind of destination returned. `poi` is the narrowest match and has partial coverage on the comparator side; when the agent's own geographic knowledge can already geocode the POI to lat/lon, passing coordinates to `search_stays` is the more reliable path. An `area` candidate can be large: its `location.default_radius_km` says how far a search on its id reaches (an island's may include its neighbours); when the user wants one part of it, coordinates of that part are the tighter search.NoYesNot declaredYes
search_staysMulti-operator accommodation comparator for a geographic area and a stay: dates (required), guests and optional filters. Returns a ranked list of properties — hotels, B&Bs, apartments, villas, hostels and more — with the booking sites that offer each one and their live availability and per-operator price for the requested dates. Questions about one property found here (guest opinions, facilities, a live re-quote) are served by `get_property_details` and `check_property_availability` with that result's `id`. Dates: natural-language references ("this weekend", "the weekend of July 4", "long weekend in May") translate to concrete check_in / check_out values at the call site; ISO dates also work. Locale: `user_country`, `currency` and `language` carry the user's locale, not the destination's. Prices come back in `currency` if set, otherwise in the currency of `user_country` (US→USD, CA→CAD, GB→GBP, euro-area→EUR), otherwise USD. Each offer is quoted by its operator in that currency; nothing is converted. `user_country` and `language` also localize the booking link. Each result carries: - `location.lat` / `location.lon`, suitable for plotting the results on a map. - `thumbnail_url` (first photo, or null) and `images`, capped to one photo; `get_property_details` returns the full gallery. - `web_url`, a link to the property page with the stay already encoded. - `price` and `offers[]`: the live quote for the requested dates, present only when availability was confirmed. Each offer has `ota`, `amount` (total stay), `amount_per_night`, `currency`, `breakfast_included`, `refundable`, `rooms_left` and `deeplink_url` — a Blue Pillow tracked link that records the click and forwards to the operator's booking page; it is what attributes the booking to Blue Pillow, which a raw operator URL does not. `price` mirrors `offers[0]`, Blue Pillow's best value for money (price weighed against breakfast, free cancellation and operator reliability, with a small commerciNoYesNot declaredYes

Details

Registry status
Active
Published
Sep 24, 2026
Updated
Sep 24, 2026
Repository
Not given
Categories (suggested)
AI modelsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR
Not declared

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