Debugging a customer report
Support asks why an order looks stuck. Memtro finds the order by id, shows its status history array and the last webhook timestamp, and counts how many other orders share the same state since yesterday.
Ask questions of your MongoDB data in plain language
Connect a MongoDB database or Atlas cluster read-only. Memtro samples your collections to learn their shape, then answers questions with find, aggregate, count and distinct queries that are capped and time-limited.
Ask in plain English from chat, your editor, a scheduled job or your own agent. The model picks the right MongoDB tool, reads what it needs, and answers with the source cited.
Support asks why an order looks stuck. Memtro finds the order by id, shows its status history array and the last webhook timestamp, and counts how many other orders share the same state since yesterday.
A founder asks for signups by country for the last 4 weeks. Memtro runs a $match/$group pipeline on the users collection and returns the table in seconds.
Questions people ask once MongoDB 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 MongoDB in Memtro, with the rest of their stack attached.
A record in MongoDB 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 MongoDB 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.