The whole picture behind a ticket
Ask about a ticket and Memtro reads the thread including internal notes, finds the requester in the CRM, checks orders and invoices, and reports back.
Every ticket, reply and internal note, ready to be asked about.
Connect Zendesk with an API token and Memtro can search tickets, read full conversations including internal notes, and look up the people and organisations behind them. Changes flow in hourly through Zendesk's incremental export. Read-only by design.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Zendesk tool, reads what it needs, and answers with the source cited.
Ask about a ticket and Memtro reads the thread including internal notes, finds the requester in the CRM, checks orders and invoices, and reports back.
Ask what came in overnight and get the new and updated tickets, grouped by organisation and priority.
Questions people ask once Zendesk is connected. In agent mode each one also checks the other systems that know about the same people, companies or identifiers.
Teams that get the most from Zendesk in Memtro, with the rest of their stack attached.
A record in Zendesk is rarely the whole story. Connect the systems that hold the rest and the agent cross-references them by default, then remembers what it learned so the next question starts further along.
Using something else for the same job, or both? Each connector has its own tools; connect as many as you like.
Chat in the dashboard, the OpenAI-compatible API, scheduled jobs, and any MCP client: Claude Code, OpenCode, Cursor, Claude Desktop. The Zendesk tools are the same everywhere.
Clients and agents →Seven-day free trial, then one monthly price per organisation. Connectors, jobs and memory are never metered.