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travala

Travala Travel MCP

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by travala

Travala MCP

MCP server for hotel search and booking via Travala.com. Enables AI agents to search hotels, compare room packages, and complete bookings — including payment — through natural language.

Tools

travala_search_hotel

Search for hotels by location and dates.

Inputs:

Parameter

Type

Required

Description

location

string

City, region, or hotel name (e.g. "Paris", "Bali")

checkIn

string

Check-in date in YYYY-MM-DD format

checkOut

string

Check-out date in YYYY-MM-DD format

rooms

string[]

Room occupancy strings (e.g. ["2"] = 1 room, 2 adults)

lat / lng

number

Coordinates for more precise results

minPrice / maxPrice

number

Price range per night in USD

filters

string[]

all_inclusive, free_breakfast, swimming_pool, ocean_view

response_format

string

markdown (default) or json

Returns: List of hotels with name, star rating, price, amenities, and a sessionId for subsequent calls.


travala_search_package

Get available room types and rate plans for a specific hotel.

Inputs:

Parameter

Type

Required

Description

hotelId

string

Hotel ID from travala_search_hotel result

sessionId

string

Session ID from the same search flow

checkIn / checkOut

string

Dates (if not carried from session)

rooms

string[]

Room occupancy (if not carried from session)

filters

string[]

Same filter options as hotel search

response_format

string

markdown (default) or json

Returns: Room types, rate plans, meal inclusions, refund policies, and a packageId for booking.


travala_book

Book a hotel package and initiate payment.

Inputs:

Parameter

Type

Required

Description

packageId

string

Package ID from travala_search_package

sessionId

string

Session ID from travala_search_hotel

customer.firstName

string

Guest first name

customer.lastName

string

Guest last name

customer.email

string

Guest email

customer.phone

string

Guest phone with country code (e.g. +1...)

Returns: Booking confirmation with booking ID and payment instructions (x402 payment protocol).


travala_book_status

Recovery lookup for a travala_book call that errored, timed out, or returned a missing/garbled response. Use this before retrying — the booking may have already succeeded server-side, and a blind retry would double-charge the user.

Inputs:

Parameter

Type

Required

Description

packageId

string

Same packageId sent to the failed travala_book

sessionId

string

Same sessionId sent to the failed travala_book

Returns: An interpretation field and httpStatus that tell the agent how to proceed:

interpretation

httpStatus

Meaning

completed

200

Booking succeeded. body contains the confirmation — present as success, do NOT retry payment.

in_progress

202

Server still settling. Wait body.retry_after_ms, then poll again (cap ~6 polls).

not_found

404

Nothing happened server-side. Safe to retry travala_book.

invalid_request

400

Check packageId/sessionId; session may have expired.

server_error

5xx

Recovery endpoint down. Tell user to check email for confirmation; do not retry.


travala_manage_bookings

Look up details of an existing booking.

Inputs:

Parameter

Type

Required

Description

bookingId

string

Booking ID (e.g. MN5V9DWQ)

lastName

string

Last name used when booking

Returns: Booking status, hotel name, room, check-in/check-out dates, price, cancellation policy, and confirmation link.


travala_cancel_booking

Cancel an existing booking.

Inputs:

Parameter

Type

Required

Description

bookingId

string

Booking ID

lastName

string

Last name on the booking

email

string

Email address on the booking

Returns: Cancellation status, refund amount, cancellation fee, and policy summary.


Related MCP server: 1Stay Hotel Booking

Agent Registration & Rewards

Every travala_book call sends an agentId and rewardWallet to attribute the booking and route cbBTC giveback to your agent.

The skill file skills/travala-booking-expert/SKILL.md ships with both values empty by default. To earn rewards under your own agent identity, open that file and fill in the two lines with your own values:

agentId      = "your-agentId-from-8004scan"
rewardWallet = "0xYourEvmAddressOnBase"
  • agentId — self-register at 8004scan.io/agents to get an ID via the ERC-8004 registry. Travala does not issue these.

  • rewardWallet — any EVM address on Base (EOA, multi-sig, treasury contract). Does not have to be the wallet that pays for the booking.

  • Payout is made in cbBTC after the booking is marked completed (on or after guest check-in, subject to Travala's standard refund/cancellation window).

Without editing these values, bookings are attributed to the default agent and you earn nothing.


Typical flow

travala_search_hotel → travala_search_package → travala_book
                                                      ↓
                                          travala_manage_bookings
                                          travala_cancel_booking

                  (on book failure/timeout) → travala_book_status

Setup

Step 1 — Add Travala MCP

Claude Desktop

  1. Open Claude DesktopCustomizeConnectors

  2. Click +Add custom connector

  3. Fill in the popup:

    • Name: Travala MCP

    • Remote MCP Server URL: https://travel-mcp.travala.com/mcp

  4. Click Add — done.

Claude Code

Claude Code supports remote MCP servers natively. Run:

claude mcp add --transport http travala-mcp https://travel-mcp.travala.com/mcp

Or add manually to ~/.claude.json (user scope) or .mcp.json (project scope):

{
  "mcpServers": {
    "travala-mcp": {
      "type": "http",
      "url": "https://travel-mcp.travala.com/mcp"
    }
  }
}

Verify with claude mcp list.


Step 2 — Install Coinbase Agentic Wallet MCP (required for payment)

travala_book returns an HTTP 402 with x402 payment details. To complete the payment, you need @coinbase/payments-mcp installed alongside this server.

Prerequisite — Install Node.js

The npx command ships with Node.js. If you don't already have it, install Node.js (which includes npm and npx) before running the command below:

  • macOS / Linux / Windows: download the LTS installer from nodejs.org and follow the prompts.

  • macOS (Homebrew): brew install node

  • Verify installation: open a new terminal and run node -v and npx -v — both should print a version number.

Once Node.js is installed, run:

npx @coinbase/payments-mcp

When prompted, select your client (Claude for Desktop, Claude Code for CLI). The installer auto-configures the MCP entry. Restart your client after installation.


Step 3 — Install the booking skill

The travala-booking-expert skill ships rules and workflow logic. The agentId and rewardWallet fields are empty — fill them in if you want bookings attributed to your agent.

Before installing — fill in your values (optional, but required to earn rewards). Open skills/travala-booking-expert/SKILL.md and set agentId (from 8004scan) and rewardWallet (a standard EVM/ETH address on Base). See Agent Registration & Rewards above for the exact format.

Claude Desktop

Claude Desktop supports custom skills via .zip upload.

1. Enable Skills

  • Open Claude DesktopSettings

  • Go to Capabilities (or Features) and toggle Skills on if not already enabled

2. Zip the skill folder

The zip must keep the folder name at the top level:

travala-booking-expert.zip
└── travala-booking-expert/
    ├── SKILL.md          (required — metadata + instructions)
    └── references/       (optional — auto-loaded on demand)
cd skills && zip -r travala-booking-expert.zip travala-booking-expert/

3. Upload

  • Customize → Skills

  • Click +Create SkillUpload a Skill

  • Select travala-booking-expert.zip

  • Toggle the skill on in the list

Claude Desktop reads the skill description and auto-activates it when it matches the user's intent (e.g. "find me a hotel in Tokyo").

Claude Code

Copy the skill folder into your skills directory:

# Project-scoped (only this project)
cp -r skills/travala-booking-expert .claude/skills/

# OR user-scoped (all projects)
cp -r skills/travala-booking-expert ~/.claude/skills/

Claude Code auto-loads skills on startup. The references/ files come along automatically — the agent reads them on demand.

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