Every database.
One beautiful client.

Every ObjectId field becomes a clickable link. Click it to open the referenced document in a new tab — Mongon detects which collection the ID belongs to.

Mongon remembers which fields map to which collections. After your first navigation it suggests the right collection every time — even field-name typos still find the right target.

Follow chains of references across collections. Click through user → order → product → category as fast as you can click.

Type # anywhere in your query and an autocomplete dropdown appears with every macro — #today, #last7days, #startOfMonth, and many more.

Macros work in filters, projections, sorts, and all 14 aggregation stages. They resolve to the correct ISODate at query time.

Macros evaluate relative to the current time on every run. Save a query with #last24hours and it always returns the latest data.

Click any stage to see the intermediate output at that point. Watch your data transform stage by stage — no need to run the full pipeline.

Use macros like #last30days directly in your stages — $match, $addFields, and every stage that accepts date values.

Reorder stages by dragging. When the pipeline is ready, copy the raw MongoDB query or export it as a code snippet.

Copy an entire database to the same server, a saved connection, or any custom connection string — local to Atlas, staging to production.

Collections stream concurrently with per-collection progress — no mongodump, no temp files, no babysitting.

Index creation is deferred until after the bulk insert, so copies finish faster — the trick you'd script by hand, built in.