mcpField
V
Viator

Viator

Remote
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About Viator

Book travel experiences around the world

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://exp-app-mcp.prod.ep.viator.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

2
ParameterTypeRequiredDescription
codestringYes(required) Unique identifier of the Viator experience to retrieve details for.This value must correspond to an experience previously returned by the search_experiences tool.The model must not guess or make up experience IDs; if the user request is ambiguous (e.g., multiple items shown), the model must ask which experience they mean before calling the tool.
languagestringNo(deprecated) This value is deprecated and should not be sent. Please only send the locale.
localestringNo(optional) The language/locale code requested for content localization (e.g., en-US, en-GB, fr-FR).If not provided by the user, the model should infer it from context or default to en.Used to descriptions, highlights, and content where available.
currencystringNo(optional) Currency code for from-price display (e.g., USD, EUR, GBP).When provided, fromPrice and fromPriceBeforeDiscount are populated.When omitted, pricing fields are not returned.Should match the currency used in the preceding search_experiences call when available.
sessionIdstringYes(mandatory) A unique identifier, ideally an UUID, for the current user conversation. The same identifier should be used until the user opens a new chat.

Details

The maintainer has not added details yet. Check the README in the repository.

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.