Bases as answers
Which vendor records are Pending review, filtered with an Airtable formula Memtro writes for you.
Query your Airtable bases in plain language.
Memtro connects to Airtable with a personal access token and reads your bases, tables and records, so the model can filter with Airtable formulas, use your views and search any text field. Nothing is ever written back.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Airtable tool, reads what it needs, and answers with the source cited.
Which vendor records are Pending review, filtered with an Airtable formula Memtro writes for you.
Find anything in the content calendar mentioning a campaign, across all the text columns of the table.
Questions people ask once Airtable 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 Airtable in Memtro, with the rest of their stack attached.
A record in Airtable 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 Airtable 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.