AI for MongoDB.
AI for Database lets you query MongoDB in plain English – no aggregation pipelines to write – then visualize results and set up scheduled alerts on your collections.
Read-only credential · Free plan available
> How many orders were placed per product category last month?
db.orders.aggregate([
{ $match: { createdAt: { $gte: ISODate("2026-02-01"), $lt: ISODate("2026-03-01") } } },
{ $unwind: "$items" },
{ $group: { _id: "$items.category", count: { $sum: 1 } } },
{ $sort: { count: -1 } }
]);AI for Database translates your natural language questions into MongoDB aggregation pipelines and queries. You no longer need to memorize $match, $group, $lookup, or $unwind stages – just describe what you want in plain English and let the AI build the pipeline.
Whether your data lives in MongoDB Atlas, a self-managed replica set, or a sharded cluster, AI for Database connects securely and gives your entire team the ability to explore documents, run analytics, and build dashboards.
MongoDB is the leading NoSQL document database, trusted by thousands of organizations for its flexible schema, horizontal scalability, and developer-friendly JSON-like document model. From real-time analytics to content management to IoT data, MongoDB handles unstructured and semi-structured data with ease.
What teams ask their MongoDB
> How many orders were placed per product category last month?
> Show me users who have more than 5 active sessions
> What is the average response time per API endpoint?
01 · Connect
Enter your MongoDB connection string (mongodb:// or mongodb+srv://) in the connection form.
02 · Scan
Specify the database name and optionally restrict access to specific collections.
03 · Ask
AI for Database samples documents from each collection to infer schema and field types.
MongoDB specifics
Popular ways teams use it
Your MongoDB speaks English now.
Free plan available · No credit card required