Send-day debrief
Within an hour of a send the campaign is in the graph with recipients, unique opens, clicks and unsubscribes, ready for 'how did the launch email do?'.
Campaign performance and audience growth without opening Mailchimp.
Connect Mailchimp with an API key and ask how the last newsletter did, which links were clicked, how fast an audience is growing, whether a contact is subscribed, and how your welcome series performs. Sent campaigns and audience growth are synced into the graph.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Mailchimp tool, reads what it needs, and answers with the source cited.
Within an hour of a send the campaign is in the graph with recipients, unique opens, clicks and unsubscribes, ready for 'how did the launch email do?'.
A daily memory records each audience's subscriber count and its change, so growth and churn questions have a dated answer.
Questions people ask once Mailchimp 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 Mailchimp in Memtro, with the rest of their stack attached.
A record in Mailchimp 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 Mailchimp tools are the same everywhere.
Set it up as an MCP server →Clients and agents →Seven-day free trial, then one monthly price per organisation. Connectors, jobs and memory are never metered.