Docs that answer back
Ask what the launch plan says about pricing and Memtro reads the page and answers with a link, instead of a search results list.
Search pages and query databases.
Search, read a page, query a database. Internal docs and trackers become part of what the model can check.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right Notion tool, reads what it needs, and answers with the source cited.
Ask what the launch plan says about pricing and Memtro reads the page and answers with a link, instead of a search results list.
Query a database by status or owner: which launch tasks are blocked and who owns them.
Questions people ask once Notion 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 Notion in Memtro, with the rest of their stack attached.
A record in Notion 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 Notion 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.