mcpField
W
Wanderlog MCP Server and API by Cotlet

Wanderlog MCP Server and API by Cotlet

Remote
cotlet.devMaps & Travel0Updated 3d ago

About Wanderlog MCP Server and API by Cotlet

Cotlet.dev’s hosted MCP server and local stdio wrapper let travelers create and edit trips in Wanderlog through AI agents. It works with a signed-in account without relying on a public Wanderlog API.

Key features

  1. 01Create and edit travel itineraries
  2. 02Add places to trips
  3. 03Import booking details
  4. 04Connect a Wanderlog account
  5. 05Hosted and local stdio access
  6. 06CLI connection and status checks

Use cases

  1. 01Plan a trip with places assigned to each day
  2. 02Add restaurants to a specific day
  3. 03Copy an itinerary and adapt it for a family trip

MCP support

Connect through the hosted MCP endpoint at https://cotlet.dev/mcp/v1, or run the local stdio server, which exposes Wanderlog tools and forwards calls to Cotlet.dev.

Configuration

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

Endpointhttps://cotlet.dev/mcp/v1/wanderlog/connect
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.

All endpoints
Streamable HTTPhttps://cotlet.dev/mcp/v1/wanderlog/connect
Streamable HTTPhttps://cotlet.dev/mcp/v1/wanderlogAuth required

Tools

Details

From the project README

How to connect Wanderlog to Claude Code, ChatGPT and any AI agent

Yes, Claude, ChatGPT and other AI agents can work in your Wanderlog account. Wanderlog has no public API and no official ChatGPT app. Cotlet.dev connects your own Wanderlog account to any AI agent, so the AI can build and edit your trips while you plan in plain words.

What you can ask

Make a 5-day Lisbon trip in Wanderlog with 3 places a day, close to each other.

Add the restaurants from this list to day 2 of my Tokyo trip.

Reorder my Rome itinerary so each day has the shortest walking route.

What's still missing in my Iceland trip: hotels, transfers, opening hours?

Copy my Paris trip and adapt it for a family with two kids.

Connect in 2 minutes

Get your API key at https://cotlet.dev/app and export it as COTLET_API_KEY.

Claude Code
claude mcp add --transport http cotlet https://cotlet.dev/mcp/v1 --header "Authorization: Bearer $COTLET_API_KEY"
ChatGPT

Settings → Apps → add connector URL https://cotlet.dev/mcp/v1, then sign in with Cotlet.dev. No API key needed.

Cursor

Copy .cursor/mcp.json from this repo into your project:

{
  "mcpServers": {
    "cotlet": {
      "url": "https://cotlet.dev/mcp/v1",
      "headers": {
        "Authorization": "Bearer ${COTLET_API_KEY}"
      }
    }
  }
}

Run it locally (stdio)

This repo is a real MCP server. It speaks MCP over stdio, lists its Wanderlog tools without any key, and forwards every tool call to the hosted Cotlet.dev server. The hosted URL above stays the recommended way. Use this when your client only starts local servers.

{"mcpServers":{"wanderlog":{"command":"uvx","args":["wanderlog-mcp"],"env":{"COTLET_API_KEY":"your-key"}}}}

Or with Docker:

docker build -t wanderlog-mcp .
docker run -i --rm -e COTLET_API_KEY wanderlog-mcp

Tools: wanderlog_guide, wanderlog_status, wanderlog_open, wanderlog_read, wanderlog_click, wanderlog_type, wanderlog_close. Without COTLET_API_KEY a tool call answers: "Set COTLET_API_KEY. Get a key at https://cotlet.dev/app".

Command line

Python 3.10+, nothing else to install. From PyPI:

pip install wanderlog-mcp        # or run it once: uvx wanderlog-mcp connect
wanderlog-mcp connect

Or straight from this repo:

export COTLET_API_KEY="your-key"
python3 wanderlog_agent.py connect   # ready config for Claude Code, Cursor, ChatGPT
python3 wanderlog_agent.py status    # is Wanderlog ready in your Cotlet.dev account
python3 wanderlog_agent.py guide     # Wanderlog screens and sign-in link
python3 wanderlog_agent.py read      # open Wanderlog, read the page, close the browser
python3 wanderlog_agent.py tools     # list Cotlet.dev tools
python3 wanderlog_agent.py serve     # start the stdio MCP server (same as no argument)

Questions from Wanderlog users

Does Wanderlog have an API?

Wanderlog has no public, supported API. Cotlet.dev works in your own Wanderlog account through the Cloud Browser, so your AI agent can read and edit trips without one.

How do I connect Wanderlog to ChatGPT?

Add Cotlet.dev as an app in ChatGPT (Settings → Apps, connector URL https://cotlet.dev/mcp/v1), sign in to Wanderlog once in your Cotlet.dev Cloud Browser, and ask ChatGPT in plain words. No code and no Wanderlog API key.

Is there a way to use Claude with Wanderlog?

Yes. In Claude Code run the one-line claude mcp add command above; in the Claude app add https://cotlet.dev/mcp/v1 as a custom connector. Claude then works in your own Wanderlog account.

Is there a Wanderlog MCP server?

Wanderlog has no official MCP server. Cotlet.dev is a hosted MCP server that works in Wanderlog for you, 24/7, with Claude, ChatGPT, Cursor, Codex, n8n, Make and Zapier.

Find it on

Also works with


More: https://cotlet.dev/integrations/wanderlog-api-mcp-server?utm_source=github&utm_medium=readme&utm_campaign=wanderlog

Start free: https://cotlet.dev/signup?app=wanderlog&utm_source=github&utm_medium=readme&utm_campaign=wanderlog

Comments

Markdown supported

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.