Databases API Key

MongoDB Atlas REST API

Document database with flexible schemas and JSON storage

MongoDB Atlas is a multi-cloud database service that provides a flexible document data model with JSON-like documents. Developers use it for applications requiring flexible schemas, horizontal scaling, and complex data structures. The Atlas Data API enables HTTP access to MongoDB collections without database drivers.

Base URL https://data.mongodb-api.com/app/{app-id}/endpoint/data/v1

API Endpoints

Method	Endpoint	Description
POST	`/action/findOne`	Find a single document in a collection matching the specified filter
POST	`/action/find`	Find multiple documents in a collection with optional filtering, sorting, and projection
POST	`/action/insertOne`	Insert a single document into a collection and return the inserted ID
POST	`/action/insertMany`	Insert multiple documents into a collection in a single operation
POST	`/action/updateOne`	Update a single document matching the filter with the specified update operations
POST	`/action/updateMany`	Update all documents matching the filter with the specified update operations
POST	`/action/deleteOne`	Delete a single document from a collection that matches the specified filter
POST	`/action/deleteMany`	Delete all documents from a collection that match the specified filter
POST	`/action/aggregate`	Run an aggregation pipeline to transform and analyze documents in a collection
GET	`/clusters`	List all MongoDB clusters in your Atlas organization
GET	`/clusters/{cluster-name}`	Get detailed information about a specific MongoDB cluster
POST	`/clusters`	Create a new MongoDB cluster with specified configuration
GET	`/databases`	List all databases in a MongoDB cluster
GET	`/databases/{database}/collections`	List all collections in a specific database
POST	`/action/replaceOne`	Replace a single document in a collection with a new document

Code Examples

curl -X POST 'https://data.mongodb-api.com/app/data-abcde/endpoint/data/v1/action/findOne' \
  -H 'Content-Type: application/json' \
  -H 'api-key: YOUR_API_KEY' \
  -d '{
    "dataSource": "Cluster0",
    "database": "sample_mflix",
    "collection": "movies",
    "filter": { "title": "The Shawshank Redemption" }
  }'

const findMovie = async () => {
  const response = await fetch(
    'https://data.mongodb-api.com/app/data-abcde/endpoint/data/v1/action/findOne',
    {
      method: 'POST',
      headers: {
        'Content-Type': 'application/json',
        'api-key': 'YOUR_API_KEY'
      },
      body: JSON.stringify({
        dataSource: 'Cluster0',
        database: 'sample_mflix',
        collection: 'movies',
        filter: { title: 'The Shawshank Redemption' }
      })
    }
  );
  const data = await response.json();
  return data.document;
};

import requests

url = 'https://data.mongodb-api.com/app/data-abcde/endpoint/data/v1/action/findOne'
headers = {
    'Content-Type': 'application/json',
    'api-key': 'YOUR_API_KEY'
}
payload = {
    'dataSource': 'Cluster0',
    'database': 'sample_mflix',
    'collection': 'movies',
    'filter': {'title': 'The Shawshank Redemption'}
}

response = requests.post(url, json=payload, headers=headers)
movie = response.json()['document']
print(movie)

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mongodb_find_documents Query MongoDB collections using natural language filters and return matching documents with automatic schema detection

mongodb_insert_data Insert documents into MongoDB collections from structured data or AI-generated content with validation

mongodb_aggregate_analytics Run complex aggregation pipelines to analyze data, compute statistics, and generate insights from MongoDB collections

mongodb_update_records Update documents in MongoDB based on conditions with support for atomic operations and field modifications

mongodb_schema_analyzer Analyze collection schemas, detect data patterns, and suggest optimal indexes for query performance

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MongoDB Atlas REST API

API Endpoints

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Code Examples

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