Write MongoDB Queries in Plain English
Describe what you need, pick your AI provider, and get a ready-to-run MongoDB query in seconds with full support for local models so your data never leaves your machine.
Writing MongoDB queries slows you down
MongoDB’s query syntax is expressive but verbose. Filtering nested fields, combining operators, and building projections requires constant documentation lookups — even for experienced developers. For teams with mixed skill levels, this gap between intent and syntax can add hours of friction every week. Junior developers write slow queries. Senior developers waste time reviewing them.
Describe what you want. Get the query.
MongoPilot’s AI assistant lives in a sidebar panel that stays open while you work. Type what you’re looking for in plain English — “find all users who signed up in the last 30 days and haven’t placed an order” — and the AI generates the correct MongoDB query using your collection’s actual field names. Review it, apply it to the query builder with one click, and see the results immediately. No documentation tab needed.
What you can do
Multiple AI Providers
Choose between OpenAI (GPT models), Google Gemini, or a locally running Ollama model. Switch providers at any time from the AI settings panel.
Local AI with Ollama
Run AI entirely on your own machine with Ollama. No API key, no data sent to the cloud. MongoPilot detects Ollama, helps you install it, and lists your available models automatically.
Schema-Aware Queries
The AI reads your collection’s actual field names and data types before generating a query. Results reference your real fields — not generic placeholders you have to rename.
One-Click Apply
Generated queries aren’t just text to copy. Click Apply and the query loads directly into the Visual Query Builder, ready to run against your collection immediately.
Conversational Refinement
Not quite right? Reply in the chat to refine. “Add a filter for active users only” or “sort by most recent first” — the AI updates the query based on your follow-up.
Model Selection
Choose the specific model per provider — GPT-4o, GPT-4o mini, Gemini Pro, or any Ollama model you have installed. Balance speed, cost, and quality per task.
From plain English to running MongoDB query in three steps
1. Open the AI panel and configure your provider
Click the AI icon in the right sidebar to open the chat panel. Go to settings, select your AI provider — OpenAI, Google Gemini, or Ollama — and add your API key or confirm Ollama is running. MongoPilot saves your settings securely on your device.
2. Describe your query in plain English
Select a collection, then type what you’re looking for in the chat input. Be as specific or vague as you want — the AI will ask for clarification if needed. Your collection’s schema is sent along with the prompt so field names are accurate.
3. Apply the query and see results
Review the generated query in the chat panel. Click Apply to load it into the Visual Query Builder or into the Aggregation Pipeline Builder. The query runs against your collection and results appear in the document table instantly. Refine further in the chat or adjust filters directly in the builder.
Related Features
Aggregation Pipeline Builder
Generate complex aggregation pipelines visually with drag-and-drop stages.
Query History
Every query you run — including AI-generated ones — is saved automatically for reuse
Visual Query Builder
Build and refine queries visually. AI-generated queries load directly into this interface
Stop writing MongoDB pipelines in the dark
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