shaikhspeare

shaikhspeare / wanderlog-mcp

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MCP server for Wanderlog — build and edit trip itineraries through conversation

www.npmjs.compackagewanderlog-mcp ai-agents claude itinerary mcp model-context-protocol
12
1
100% credibility
Found Apr 20, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A local helper that connects AI chat assistants to Wanderlog, enabling them to list, create, and edit trip itineraries through natural language conversation.

How It Works

1
🌍 Dream up a trip

You think of your next adventure, like a week in Japan, and want an AI buddy to build the perfect plan in your favorite trip app.

2
🔑 Share your trip app login

Log into Wanderlog in your browser, find the hidden login code in the secret tools panel, and copy it to safely connect your AI helper.

3
🤖 Link your AI assistant

Paste the code into your AI chat app's settings so it can peek into your Wanderlog trips just like you do.

4
💬 Chat to list your trips

Ask your AI, 'What trips do I have?' and it instantly shows everything in your Wanderlog account.

5
✨ Build the full itinerary

Say, 'Create a 14-day Japan trip with Tokyo sights, hotels, checklists, and tips,' and watch your AI magically add places, notes between stops, hotels, and to-dos day by day.

6
🔗 Grab the ready link

Your AI gives you a direct link to open the complete trip in Wanderlog, all polished and shareable.

🎉 Trip planned in minutes

Relax with a fully detailed itinerary built by conversation—no endless clicking, just your dream trip ready to go!

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AI-Generated Review

What is wanderlog-mcp?

wanderlog-mcp is a TypeScript MCP server that hooks AI agents like Claude into Wanderlog, letting you build and edit trip itineraries via conversation. Instead of manually clicking through Wanderlog's UI, tell your agent "Create a 7-day Lisbon trip with waterfront hotels and Sintra day trips"—it handles creating trips, adding places with notes and times, hotels, checklists, expenses, and even shareable links. Setup is dead simple: npx wanderlog-mcp with a session cookie env var, then add it to Claude Desktop, VS Code GitHub Copilot, Cursor, or any MCP host.

Why is it gaining traction?

It stands out by turning Wanderlog's private web API into MCP tools for full itinerary automation—search places near your destination, interleave practical notes between stops, add pre-trip checklists, all in one chat flow. In a sea of MCP GitHub servers (Python, n8n, Home Assistant), this one's laser-focused on travel planning with injected prompts that guide agents to build complete plans, not just lists. Devs dig the stdio/HTTP transports for seamless GitHub Copilot VSCode/IntelliJ integration and real examples like a full Japan Golden Route trip.

Who should use this?

AI power users planning trips with Claude or GitHub Copilot who already use Wanderlog. Travel bloggers scripting itineraries via Cursor or VS Code. Devs prototyping MCP agents for travel apps, checking the MCP GitHub server list for wanderlog-mcp examples.

Verdict

Solid early experiment (12 stars, 1.0% credibility) with excellent README docs, setup guides for every MCP client, and tested tools—grab it if you're tinkering with MCP servers in TypeScript or AI trip planning. Too green for production without monitoring cookie expiry and API changes, but perfect for weekend hacks.

(198 words)

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