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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Remote MCP Server for discovering and planning experiences, at home and on vacation

README.md

Peek.com Remote MCP Server

AI-Powered Travel Planning: Simplify your trip planning with the Travel Industry's first Remote MCP Server for AI Assistants.

TL;DR

Peek.com's amazing experiences cover every major destination worldwide, 300,000+ verified activities, and millions of authentic reviews. Let AI help you find the best experiences for your next trip.

Ask Questions Like

  • "Grandparents in town for weekend. Fun experiences for them and the grandkids?"
  • "Create a table comparing and contrasting 5 food tours in Rome, including duration, price, and what's included."
  • "I have $200 and 4 hours in Tokyo. Find me the most unique cultural experiences that fit my budget and time constraints."
  • "What are the pros and cons of different whale watching tours in Monterey Bay? Include pricing, duration, and success rates."

How to Access

Peek's MCP Server validates that the experience is actually available in the timeframe you're looking for and provides deep links making snapping up that last spot easy.

Need A Server Configuration?

Also located in the server.json file in this repo.

{
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-07-09/server.schema.json",
    "name": "com.peek/mcp",
    "description": "Build travel itineraries with Peek's 300k+ experiences. Search, details, and availability!",
    "status": "active",
    "version": "0.1.0",
    "remotes": [
        {
            "type": "streamable-http",
            "url": "https://mcp.peek.com"
        }
    ]
}

Why a Peek Remote MCP Server?

Organizing the perfect trip used to be a lot of work, involving many hours of research. However, thanks to generative AI assistants, building the perfect, personalized itinerary has become a breeze.

Today's AIs know everything about the city you're traveling to, its attractions, the quality of the hotels, and the hidden gems.

But There's a Problem...

Planning the best things to do has remained an elusive challenge. Listed experiences often have out-of-date descriptions or are out of season or already booked out.

Introducing the Solution

This is where the Peek.com Remote MCP Server comes in. It is a free service that makes your AI assistant smarter, giving it access to the greatest experiences with real-time availability and prices for a better trip planning experience.

What Is a Remote MCP Server?

MCP stands for Model Context Protocol. It is a standard originally introduced by Anthropic in Nov 2024. It is a tool that you can connect to your AI assistant. It allows your AI assistant to request and understand information about relevant experiences as based on your prompts.

What About Privacy?

Peek's MCP Server does not collect or store any personal information that you may have shared with your AI assistant. It is designed to answer requests around experience listings, availability, and pricing in an AI friendly format.

Which Assistants Support Remote MCPs?

  • Claude (Anthropic) - Add "Custom Connectors" in Claude on web/desktop; mobile can use connectors you've added on web.
  • ChatGPT (OpenAI) - Limited support with enterprise account. Use Peek's OpenAI CustomGPT as a backup.
  • Developer tools (Cursor, Windsurf, Augment, etc) - Yes, see tool specific documentation.
  • Gemini (Google) - Gemini CLI and SDKs can connect to remote MCP servers (OAuth, SSE/HTTP).
  • Microsoft Copilot - Copilot Studio can add MCP tools; VS Code GitHub Copilot and Visual Studio support MCP server clients; Windows is adding platform-level MCP.
  • Perplexity - No MCP support yet.
  • xAI Grok - No MCP support yet.

Where Is the Code?

Offering the service as a remote service instead of a local tool makes it easier to use with your favorite AI assistant. As such, Peek's Remote MCP Server is a proprietary service. The code for this project is not open source at this time. For any feedback, please contact us using the Feedback Form.

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