Read and edit Wanderlog trips, including places, lodging, transport, notes, checklists, expenses, and journals.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ we're steadily working through the catalog.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Wanderlog MCP.
wanderlog_list_tripsList trips in your account
wanderlog_get_tripView a full itinerary, or filter to a single day
wanderlog_get_trip_urlGet a shareable wanderlog.com link
wanderlog_get_trip_forwarding_emailGet a trip's `trip+<id>@wanderlog.com` import address
wanderlog_search_placesFind real-world places near a trip's destination
wanderlog_search_guidesList user-written travel guides for a destination, with fallback suggestions when none exist
shaikhspeare/wanderlog-mcp MCP server connects an MCP-compatible agent to a Wanderlog account for itinerary reading and editing. It covers trip discovery, detailed itinerary retrieval, share links, forwarding addresses, destination place search, public travel-guide lookup, and hotel searches. Editing operations can create trips and add or remove itinerary items such as places, notes, hotels, transport legs, car rentals, checklists, expenses, and journal entries.
The server is suited to conversational trip planning. An agent can create a trip with a destination and date range, populate days with places and practical notes, add transportation or lodging details, and later adjust dates or rename day headings. It also supports reviewing and maintaining budget expenses and travel-journal content.
The project runs as a local stdio MCP server and uses a Wanderlog browser session cookie for authentication because Wanderlog does not provide a public API. The required cookie is named connect.sid. It is copied from the browser's developer tools after signing in to Wanderlog, then passed to the MCP process as an environment variable.
The cookie grants the same account access available in the Wanderlog website, so it should be handled like a password. The README states that the cookie remains on the user's machine and is generally valid for about a year. Startup authentication checks can identify expired cookies, and a transient startup failure receives a shared retry on the first tool call. Rapid itinerary edits are retried with backoff when Wanderlog rate-limits requests.
shaikhspeare/wanderlog-mcp MCP server requires Node.js 22 or newer, a Wanderlog account, and an MCP client that supports stdio servers. The repository documents use with Claude Code and lists Claude Desktop, OpenAI Codex, Cursor, and VS Code as compatible MCP hosts.
Configure the server with the WANDERLOG_COOKIE environment variable. To obtain its value, sign in at wanderlog.com, open browser developer tools, inspect cookies for https://wanderlog.com, and copy the value for connect.sid. In Chrome or Edge, this is under Application and Storage; in Firefox, it is under Storage and Cookies. The cookie is HttpOnly, so it cannot be read with document.cookie.
A package-runner configuration can invoke the published wanderlog-mcp package with Node.js. The client configuration must supply the cookie value; no API key is documented.
The available tools include:
The server depends on a valid Wanderlog browser session cookie rather than a public API credential. Losing or expiring that session requires obtaining a new cookie. The cookie provides account-level access, so it should not be shared or committed to configuration files. Hotel results come from Wanderlog's aggregator and include vendor comparisons, while guide retrieval applies to public Wanderlog guides. The project requires a local Node.js runtime and an MCP-compatible client; the provided material does not describe a hosted endpoint.
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