Skip to main content
Glama

Booking MCP

Server Details

Experimental Booking.com hotel search: nightly price, rating, stars and booking link.

If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Healthy
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL

TDQS

A3.8/5.0

Scored across 1 tool

Disambiguation4/5

There is only one tool, so there is no direct overlap or selection ambiguity within the set. However, the description references an absent alternative (`google_hotels_search`), which adds minor confusion about what this server actually offers.

Naming Consistency4/5

The single tool name `booking_search_hotels` is readable and follows a clear prefix_action_noun pattern. With only one tool there is no broader naming convention to verify, so it cannot earn a full score.

Tool Count2/5

A server named Booking MCP with only one experimental search tool is far too thin for the apparent domain. Hotel search alone does not cover the booking lifecycle implied by the server name.

Completeness2/5

The surface covers only a single experimental hotel search scrape, with no hotel detail lookup, availability checks, booking actions, or other Booking.com verticals. This leaves major gaps for any real booking workflow.

Available Tools

1 tool
booking_search_hotelsSearch Booking.com hotels (experimental)AInspect

EXPERIMENTAL: hotels on Booking.com for a location and stay window, scraped from the search-results page: name, nightly price, review score + count, star class, image and a direct booking link per property. Booking sits behind AWS WAF, so the call may return a blocked error — google_hotels_search is the reliable alternative (and covers Booking's prices among OTAs). Result shape: { source, fetchedAt, experimental, query, search_url, location, checkin, checkout, currency, count, hotels: [...] } — the list key is hotels. Each hotel: { name, price_per_night, currency, rating, reviews, hotel_class, booking_url, thumbnail } (fields are null when Booking omits them).

NameRequiredDescriptionDefault
limitNoMax hotels to return (default 25).
roomsNoNumber of rooms. Default 1.
adultsNoNumber of adults. Default 2.
checkinYesCheck-in date, YYYY-MM-DD.
checkoutYesCheck-out date, YYYY-MM-DD.
currencyNoISO currency for prices (e.g. 'PLN', 'EUR'). Omit for Booking's default for the region.
locationYesFree-text location, e.g. 'Warsaw' or 'Zakopane, Poland'.
no_cacheNoForce a fresh Booking.com fetch and bypass this server's result cache. Default false.

Output Schema

NameRequiredDescription
countYes
queryYes
hotelsYes
sourceYes
checkinYes
checkoutYes
currencyYes
locationYes
fetchedAtYes
search_urlYes
experimentalYes

TDQS

A4.1/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does substantial work: it discloses the experimental/scraped provenance, the WAF blocking failure mode, that fields are null when Booking omits them, and that results may be cached (via no_cache). It does not mention rate limits, cache TTL, or what the 'blocked error' looks like, which keeps it below a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The EXPERIMENTAL warning and the sibling routing are correctly front-loaded, which is the right priority. However, the two full result-shape enumerations duplicate the output schema that already exists, and that block occupies roughly half the description without adding information an agent doesn't already have structurally.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an experimental scraper with 8 parameters and no annotations, the description supplies everything needed to call it correctly and to interpret a failure: provenance, blocking risk, the fallback tool, nullability of fields, and cache bypass. Return values are covered by an output schema, so the extra shape listing is redundant rather than missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all 8 parameters including limit, currency, rooms/adults, and no_cache are already documented in the schema. The description adds no parameter-level meaning beyond that (it discusses output fields instead), so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('hotels on Booking.com') scoped to a location and stay window, and enumerates the fields returned per property. It also explicitly contrasts itself with the named alternative google_hotels_search, so an agent can route without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives a concrete condition for preferring the alternative: Booking sits behind AWS WAF and this call may return a blocked error, while google_hotels_search is 'the reliable alternative'. It stops short of an explicit 'prefer that tool by default' instruction or guidance on retry behavior, so it is clear context rather than a full when/when-not rule set.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedbooking_search_hotels

Related MCP Connectors

Related MCP Servers

  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables users to search for hotels by location and maximum price per night, returning hotel options with ratings and estimated total costs.
    -
  • A
    license
    A
    quality
    A
    maintenance
    Searches hotels and vacation rentals with nightly and total rates, ratings, amenities, and detailed property information through natural language in any MCP client.
    1
    191 npm
    34 PyPI
    2
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to search hotel rooms by number of nights within a flexible date range, returning real prices and the cheapest deals with booking links. It also supports city resolution, hotel listing, and offer details for external booking completion.
    4
    -
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources