# MongoDB

## Build apps from MongoDB. Just describe what you need.

Connect your MongoDB Atlas cluster. Describe the app you need. camelAI reads your collections, understands nested documents, and builds it.

users

```
{
  "_id": ObjectId("64f1a2b3c8e9d1f2a3b4c5d6"),
  "name": "Amara Chen",
  "email": "amara@acme.io",
  "role": "admin",
  "profile": {
    "avatar": "https://cdn.acme.io/avatars/amara.jpg",
    "timezone": "US/Pacific",
    "preferences": {
      "theme": "dark",
      "notifications": true
    }
  },
  "teams": ["engineering", "platform"],
  "loginHistory": [
    { "ts": "2026-03-12T09:14:00Z", "ip": "192.168.1.42" },
    { "ts": "2026-03-10T14:33:00Z", "ip": "10.0.0.7" }
  ],
  "createdAt": ISODate("2025-08-14T00:00:00Z")
}
```

## Your data is already flexible. Your tools should be too.

companies

| id | name       | address     | tags |  
|----|------------|-------------|------|  
| 1  | Acme Corp  | NULL        | NULL |  
| 2  | Globex Inc | 123 Main St | NULL |  
| 3  | Initech    | 456 Oak Ave | saas |

NULLs everywhere

No nested data

Arrays? Add another table and JOIN

companies

```
{
  "name": "Acme Corp",
  "address": {
    "street": "123 Main St",
    "city": "San Francisco",
    "state": "CA"
  },
  "tags": ["saas", "enterprise"],
  "contacts": [
    { "name": "Jordan", "role": "CTO" },
    { "name": "Riley", "role": "VP Eng" }
  ]
}
```

Nested objects — address is structured, not a flat string

Optional fields — no NULLs, no wasted columns

Arrays inline — no extra tables, no JOINs

## How it works

1

### Connect your cluster

users

orders

products

mongodb+srv://admin:****@cluster0.abc12.mongodb.net

Connected

2

### Ask in plain English

```
{
  "status": "premium",
  "plan": "pro",
  "signupDate": {
    "$gte": "2026-03-01"
  },
  "active": true
}
```

Show me all premium users who signed up this month

Building query...

No aggregation pipelines. No query syntax. Just describe what you want to see.

3

### See rich results

| Name        | Email            | Plan    |  
|-------------|------------------|---------|  
| Amara C.   | amara@acme.io    | Premium |  
| Jordan K.  | jordan@globex.co | Premium |  
| Riley M.   | riley@initech.io | Free    |  
| Sam T.     | sam@startup.dev  | Premium |

Premium users

247

Plans

Pro

Free

Build app

## What you can build from your collections.

Customer CRM

Search, filter, and manage customer records with nested contact history, notes, and activity timelines. Edit deeply nested profile fields inline.

`db.users`

Product Catalog

Browse products with faceted search across variant attributes — sizes, colors, pricing tiers. Detail pages with nested specs and inventory data.

`db.products`

Support Dashboard

Track open tickets by priority, monitor average resolution time, and let agents update ticket status. Threaded message history built in.

`db.tickets`

## camelAI speaks your aggregation language.

Source

orders

42,817 documents

Stage 1

$match

status: "paid" and date >= 2025-01

Stage 2

$group

by month — SUM(total), AVG(value), COUNT

Stage 3

$sort

by total, descending

Source

orders

42,817 documents

Stage 1

$match

status: "paid" and date >= 2025-01

Stage 2

$group

by month — SUM(total), AVG(value), COUNT

Stage 3

$sort

by total, descending

Result

Monthly revenue by category

Describe an aggregation in plain English. camelAI builds the pipeline, runs it, and visualizes the output.

## What teams build with MongoDB + camelAI

users12.4K

orders8.2K

products1.3K

+ New Document

### Admin panels for Atlas collections

Build admin panels that let your team browse, search, edit, and manage MongoDB collections — without writing CRUD boilerplate or deploying a Retool instance.

AC

Amara ChenProActive

amara@acme.io

P1Login failing on mobile2m ago

P2Can't export CSV reports1h ago

P3Feature request: dark mode3h ago

### Customer support dashboards

Give your support team a dashboard that queries user records and tickets in real time. Search by email, filter by plan, and see the full customer picture — all from your MongoDB data.

```
{
"order": {
"items": [...],
"total": 529
}
}
```

docordermetaitemstotal

### Visualize documents without aggregation pipelines

MongoDB's aggregation framework is powerful but complex. Skip the $match, $group, $unwind pipeline and just describe what you want to see — camelAI builds the visualizations.

Labeluser.name

Jordan Kim

Roleuser.role

Admin

Activeuser.active

Enabled

Save to collection

### Internal tools for ops teams

Build internal tools that read from and write to your MongoDB collections. Forms, dashboards, approval workflows — describe what your ops team needs and ship it in an afternoon.

## Frequently asked questions

### Can I query MongoDB without aggregation pipelines?

### How does camelAI connect to MongoDB Atlas?

### Can I build admin panels for my MongoDB data?

### Does camelAI support nested document structures?

## What will you build from your documents?

“Connect to our MongoDB Atlas cluster and build an admin panel for the users collection. I need search, filters by role and status, and the ability to edit nested profile fields.”

“Run an aggregation pipeline on our orders collection: group by month and category, calculate average order value, and visualize the trends as a line chart.”

“Build a support dashboard from our tickets collection. Show open tickets by priority, average resolution time, and let agents update ticket status from the dashboard.”

## Your documents are ready.

Start building.