Explore documents, build aggregation pipelines with AI, and create internal tools — all from your browser.
Build with AI at the core. Generate MongoDB queries from plain English, scaffold dashboards, and ship internal tools — all schema-aware and grounded in your MongoDB data.
Your infra, your data. Run QueryPlane on your own servers — no data ever leaves.
A real editor. MongoDB autocomplete, syntax highlighting, and instant results.
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Visualize anything. Tables, line, bar, and pie charts wired straight to your queries.
Drag and drop. Compose forms, tables, and admin tools backed by your live schema — no frontend code required.
One workspace for MongoDB. From query to production app.
Get up and running with MongoDB in three simple steps
Step 1
Enter your MongoDB connection string or fill in host, port, and credentials. QueryPlane supports MongoDB Atlas, replica sets, SRV records, and authentication via SCRAM, X.509, or AWS IAM.
Step 2
Browse collections, view documents in a structured tree or JSON view, and run queries with AI assistance. Build aggregation pipelines visually and iterate on results in real time.
Step 3
Visualize your MongoDB data as charts, tables, and internal apps. Share dashboards with your team and export documents in JSON or CSV format.
Everything you need to work with MongoDB
Browse databases, collections, and documents visually. View documents as formatted JSON or in a table layout. Filter, sort, and paginate through large collections with ease.
Describe what you need in plain English and get working MongoDB queries and aggregation pipelines. The AI understands your document structure and generates $match, $group, $lookup, and other stages.
Every query and aggregation pipeline you run is saved. Share queries with teammates, organize them into collections, and build a reusable library of MongoDB operations.
Connect to production MongoDB clusters safely. Enforce read-only access to prevent accidental document updates, deletes, or collection drops on critical databases.
Invite your team, share MongoDB connections securely, and collaborate on queries and dashboards. Manage permissions so everyone has the right level of access.
Export query results and documents to JSON or CSV. Handle nested documents and arrays gracefully, and schedule automated exports for reporting workflows.
Common ways teams use QueryPlane with MongoDB
Browse and search documents across collections without writing raw queries. View nested objects, arrays, and embedded documents in a structured visual format.
Build multi-stage aggregation pipelines with AI assistance. Add $match, $group, $project, $lookup, and other stages, preview intermediate results, and iterate until you get the output you need.
View collection stats, index usage, and document counts. Understand your data model, identify missing indexes, and plan schema optimizations across your MongoDB databases.
Export MongoDB documents to JSON or CSV for analysis in other tools. Build reporting dashboards that pull live data from your collections and share them with stakeholders.
Everything you need to know about QueryPlane and MongoDB
In QueryPlane, click 'New Connection', select MongoDB, and paste your connection string (e.g., mongodb+srv://user:pass@cluster.mongodb.net/db). QueryPlane supports MongoDB Atlas, self-hosted instances, replica sets, and authentication via SCRAM, X.509, and AWS IAM.
QueryPlane is a browser-based MongoDB GUI that offers document exploration, AI-powered query generation, aggregation pipeline building, and dashboard creation. Unlike MongoDB Compass, QueryPlane runs in your browser, supports team collaboration, and lets you manage MongoDB alongside your other databases.
Yes. QueryPlane is a fully browser-based MongoDB client. Connect to any MongoDB instance, browse documents, run queries and aggregation pipelines, and build dashboards — all from your web browser with no desktop app required.
QueryPlane offers a free tier that lets you connect to MongoDB, browse collections, run queries, and explore your data. Paid plans add team collaboration, shared dashboards, and advanced features.
Yes. QueryPlane connects to MongoDB Atlas clusters using your Atlas connection string. It supports all Atlas authentication methods and works with shared, dedicated, and serverless Atlas deployments.
Stop writing boilerplate. Start building the tools your team actually needs—in minutes, not months.