AI for MongoDB.
Query your document database in plain English – no aggregation pipelines required.
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 } }
]);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.
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.
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