- COST
- SECURITY
- INVENTORY
- HUMAN
Short answer
How can I audit my cloud configurations with AI?
Your AI uses the DoiT connector to pull live metadata and cost details for any asset in AWS, GCP, or Azure. You'll get a clear view of misconfigured resources and spending patterns through these specific outcomes.
Where your data lands.
Audit outcomes.
The AI processes your requests and organizes the findings into these specific categories.
COST
Spending insights
The AI identifies expensive or underutilized resources. You get a clear view of where your budget is going across providers.
SECURITY
Configuration gaps
The AI flags resources that don't match your required settings. You receive a list of assets that need attention.
INVENTORY
Asset mapping
The AI builds a real-time map of your cloud footprint. You get a structured list of every active resource it finds.
HUMAN
Manual remediation
The AI identifies the problems but does not change settings. You must log in to your cloud console to apply fixes.
The workflow
What your AI does when the request arrives.
The AI moves from broad discovery to specific technical details to answer your questions.
Scan your environment
The AI looks through your cloud accounts to find the specific resources you are asking about.
list_cloud_assetsLocate specific assets
The AI narrows down the search to find the exact instances, buckets, or databases you mentioned.
search_cloud_assetsPull technical specs
The AI grabs the deep configuration and cost data for the identified assets.
get_asset_detailsAnalyze and report
The AI compares the retrieved data against your audit goals to highlight issues.
get_asset_details
Try it
Copy these to start.
Use these prompts to begin your audit.
Starting points
Swap out the bracketed text for your actual cloud provider or resource names.
DoiT Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_j2oX5sYZjktYxjMYhW4EKGwqxhDEm6b0cYvKIDvz/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — DoiT capabilities are ready to use.
{
"mcpServers": {
"doit-mcp": {
"url": "https://edge.vinkius.com/vk_preview_j2oX5sYZjktYxjMYhW4EKGwqxhDEm6b0cYvKIDvz/mcp"
}
}
}List all my S3 buckets in AWS and tell me which ones are public.
Find all running EC2 instances in my GCP project that cost more than $50 a month.
Show me the configuration details for the RDS instance named 'production-db'.
Which Azure resources have been idle for the last 30 days?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect DoiT once, then ask.
Enter your credentials through the secure link. Once connected, your AI client can immediately start querying your cloud data.
Connect DoiT to your AIFAQ
How this task behaves.
- 01
Can the AI change my cloud settings?
No. The AI can only read configuration and cost data. You have to make all changes manually in your cloud console.
- 02
Does the AI delete any resources?
No. This connector is read-only. It cannot delete, stop, or modify any assets in AWS, GCP, or Azure.
- 03
Which cloud providers are supported?
The connector works with AWS, GCP, and Azure.
- 04
Can I audit specific regions?
Yes. You can ask the AI to search for assets within specific regions or accounts.
- 05
How does the AI get cost data?
The AI retrieves cost-related metadata through the DoiT connection to provide visibility into your spending.
More questions about DoiT? See everything the DoiT Connector can do
Connect DoiT to Claude, Cursor, ChatGPT & more
