Automating MongoDB Atlas Cluster Discovery Across All Projects Using PowerShell

Ravindar Karampuri — Thu, 06 Nov 2025 09:33:52 +0000

Overview:

When managing multiple MongoDB Atlas projects within an organization, it often becomes challenging to keep track of all clusters - their configurations, regions, versions, and scaling details - across projects.
Instead of manually navigating through the Atlas UI, you can leverage the MongoDB Atlas Admin API and a simple PowerShell automation script to fetch this data programmatically.
In this guide, we'll build a PowerShell script that connects to the MongoDB Atlas Admin API, retrieves all projects in your organization, and exports detailed cluster information into a CSV (or Excel) file - all with a single command.
💡 Why Use PowerShell for MongoDB Atlas Automation?

PowerShell provides a flexible scripting environment that works seamlessly with REST APIs.
When combined with MongoDB Atlas Admin API, it allows administrators and DevOps engineers to:
Fetch cluster and project data in bulk
Automate reporting for governance or audits
Simplify multi-project monitoring
Integrate Atlas metadata into enterprise dashboards

🔑 Prerequisites

Before running the script, ensure you have:

MongoDB Atlas Programmatic API Keys
Log in to MongoDB Atlas → Organization Settings → Access Manager → API Keys
Note down your Public Key and Private Key

Organization Access Level: The API key must have Organization Read Only or Organization Owner role.

# Define your MongoDB Atlas API credentials and organization ID
$publicKey = ""
$privateKey = "-79fd-4e02--"
$orgId = ""

# Base64 encode the API keys
#$base64AuthInfo = [Convert]::ToBase64String([Text.Encoding]::ASCII.GetBytes("$publicKey:$privateKey"))

#Path to the csv & excel file to be saved
$csvFilePathAtlas = "D:\sampleset.csv"
# Delete file if exist
if (Test-Path $csvFilePathAtlas) 
{
  Remove-Item $csvFilePathAtlas
}

# Define array to collect all project cluster data
$exportRecords = @()

# Fetch projects
$projectsUrl = "https://cloud.mongodb.com/api/atlas/v1.0/groups"

#$projectsResponse = Invoke-RestMethod -Uri $projectsUrl -Method Get -Headers @{Authorization=("Basic {0}" -f $base64AuthInfo)}

[securestring]$secStringPassword = ConvertTo-SecureString $privateKey -AsPlainText -Force

[pscredential]$credential = New-Object System.Management.Automation.PSCredential ($publicKey, $secStringPassword)
$projectsResponse = Invoke-RestMethod -Uri $projectsUrl -Headers @{Authorization = "Basic $base64AuthInfo"} -Credential $credential -Method Get 
$projectsinfo = $projectsResponse.results

# Iterate over each project and fetch cluster details
foreach ($project in $projectsResponse.results) {
    $projectId = $project.id
    $projectName = $project.name

    # Fetch clusters for the project
    $clustersUrl = "https://cloud.mongodb.com/api/atlas/v1.0/groups/$projectId/clusters"
    $clustersResponse = Invoke-RestMethod -Uri $clustersUrl -Headers @{Authorization = "Basic $base64AuthInfo"} -Credential $credential -Method Get

    # Output project and cluster details
    Write-Output "Project ID: $projectId"
    Write-Output "Project Name: $projectName"
    #Write-Output "Clusters:"

  # Collect each cluster's info
  foreach ($cluster in $clustersResponse.results) {

        $record = [PSCustomObject]@{
     ProjectID    = $projectId
        ProjectName    = $projectName
        ClusterName    = $cluster.name
        MongoVersion   = $cluster.mongoDBVersion
        Connectionstr  = $cluster.connectionStrings.standardSrv
        DiskSizeGB     = $cluster.diskSizeGB
        InstanceSize   = $cluster.providerSettings.instanceSizeName
        RegionName     = $cluster.providerSettings.regionName
        ProviderName   = $cluster.providerSettings.providerName
        Backuptype     = $cluster.backupEnabled
        Scaling        = $cluster.autoScaling.diskGBEnabled
        Pointintimes   = $cluster.pitEnabled

        }

                # Add record to master array
        $exportRecords += $record
    }
    }
    $exportRecords | Select-Object ProjectID,ProjectName, ClusterName,MongoVersion, Connectionstr,DiskSizeGB, InstanceSize,RegionName,ProviderName, Backuptype,Scaling,Pointintimes  | Export-Csv -Path $csvFilePathAtlas -NoTypeInformation

    Write-Output "Exported ClusterInfo to file, please check the location!!!"
# Export the data to an Excel file
#$exportRecords | Export-Excel -Path "Project_ClusterInfo.xlsx" -WorksheetName "Cluster Info" -AutoSize

Forem: Ravindar Karampuri

Automating MongoDB Atlas Cluster Discovery Across All Projects Using PowerShell

Overview: