MCP Overview

MCP Overview

TREK includes a built-in Model Context Protocol (MCP) server. MCP is an open standard that lets AI assistants read and modify data in external services through a structured API. When the MCP addon is enabled on your TREK instance, AI clients such as Claude.ai, Claude Desktop, Cursor, VS Code, and others can connect directly to your trips.

What you can do

Once connected, an AI assistant can work with your TREK data in a single conversation:

• Create and update trips, days, and itineraries
• Search for real-world places and add them to your trip
• Build and manage packing lists and to-do items
• Track budgets and expenses across trip members
• Create reservations, transport bookings, and accommodations
• Send collab messages and notes to other trip members
• Mark countries and regions as visited in Atlas
• Log vacation days in Vacay
• Write journey entries across multiple trips

Changes made through MCP are broadcast to all connected clients in real-time — exactly like changes made in the web UI.

Authentication options

Use case	Method
Interactive client (Claude.ai, Cursor, VS Code…)	OAuth 2.1 with browser consent — TREK issues tokens after you approve scopes in a consent screen
AI agent or script running unattended	Machine client (client_credentials) — token obtained directly via client_id + client_secret, no browser ever opened
Legacy setups	Static API token — deprecated, full access, no scopes

See MCP-Setup for step-by-step instructions for each method.

Requirements

• MCP addon enabled — an administrator must enable the MCP addon (mcp) from the Admin Panel before the /mcp endpoint becomes available and the MCP section appears in user settings.
• APP_URL set — the APP_URL environment variable must be configured to your TREK instance's public URL so that OAuth discovery works correctly. Without it, clients that use OAuth 2.1 cannot complete authentication.

Rate limits and session limits

Setting	Default	Environment variable
Requests per minute per user	300	MCP_RATE_LIMIT
Max concurrent sessions per user	20	MCP_MAX_SESSION_PER_USER

Rate limits are tracked per user–client pair, so each OAuth client has its own independent window. Sessions expire after 1 hour of inactivity.

Endpoint

https://<your-trek-instance>/mcp

If the MCP addon is not enabled, this endpoint returns 403. If authentication fails, it returns 401.

Admin: Enable the MCP addon in Admin-Addons. Set APP_URL for OAuth discovery. Revoke tokens and manage OAuth clients from Admin-MCP-Tokens. Adjust rate and session limits with MCP_RATE_LIMIT and MCP_MAX_SESSION_PER_USER — see Environment-Variables.

Next steps

1. MCP-Setup — connect your AI client
2. MCP-Scopes — choose the right permissions
3. MCP-Tools-and-Resources — browse available tools