MongoDB GUI builder

Explore collections, edit documents and build admin panels on your MongoDB data. Describe it and Jet generates the MongoDB GUI, with access rules built in.

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MongoDB data in a shape humans can read

Describe the screens your team needs and Jet builds them on your MongoDB collections. Start with a database viewer, end with an internal tool or a portal.
Secure database connection
Connect MongoDB Atlas or a self-hosted cluster with a standard connection string, and build interfaces on it without writing a line of backend code.
Interactive table editors
View, filter, search and edit live MongoDB documents in a spreadsheet-like grid, with real inputs for nested maps and arrays instead of raw JSON.
Granular user permissions
Define visibility rules so each person only sees and edits the MongoDB collections and fields their role needs, with no cluster credentials handed out.
Ask AI data queries
Query your MongoDB data in natural language, or save an aggregation pipeline once and reuse its result as a table, a chart or a dropdown.
Bulk data imports
Upload CSV files or spreadsheets to populate or update MongoDB collections in bulk, mapping fields on the way in.
Self-hosted or cloud
Run Jet in your own cloud account or fully on-premise, so the connection to your MongoDB cluster never leaves your network.

Data sources

MongoDB alongside the rest of your stack

Connect MongoDB together with Postgres, MySQL, REST APIs, Stripe and 200+ tools. Query, edit and join across all of them from one interface.

Frequently asked questions

What is a MongoDB GUI builder?

A MongoDB GUI builder turns your collections into an interface people can actually use: searchable tables, real inputs for nested documents, and permissions per role. Instead of Compass or mongosh, your team gets a screen they log into, with no cluster credentials handed out.

Is there a GUI for MongoDB?

Mongo ships with mongosh on the command line and Compass on the desktop, both built for developers. Jet is a GUI for everyone else: collections as editable tables, in the browser, behind roles.

How is this different from MongoDB Compass?

Compass is a developer tool installed per machine with full access to the cluster. Jet is a shared interface with per-collection and per-field permissions, forms that validate, an audit log, and a URL you can give to someone outside engineering.

Can I edit nested documents without writing JSON?

Yes. Embedded documents and arrays get real inputs with validation, so people can change data without hand-editing JSON and without breaking the shape other documents follow.

Does it work with MongoDB Atlas?

Yes. Atlas, self-hosted replica sets and other MongoDB-compatible databases connect with a standard connection string.

Can I run aggregation pipelines?

Yes. Write the pipeline once and reuse its result as a table, a chart or a dropdown, so the people who need the answer do not need to write the query.

Can my team use MongoDB without database users?

Yes. Jet holds one connection and people sign in to Jet, so you stop provisioning a database user for everyone who needs to read a collection.