- MONITOR
- ADJUST
- HUMAN
- SYNC
Short answer
How can I scale my AWS services using AI?
Your AI checks your current scaling settings and then applies new instance counts to your Flightcontrol services. You get direct control over your AWS capacity without touching the AWS Console. This setup gives you a clear view of your scaling state and the ability to adjust it instantly.
Scaling outcomes
Infrastructure control
What happens when your AI manages your instances.
MONITOR
Current capacity visibility
The AI pulls your existing scaling configurations. You'll see exactly how many instances are running for each service.
ADJUST
Instant instance updates
Your agent pushes new scaling counts to Flightcontrol. This changes your AWS service capacity immediately.
HUMAN
Manual oversight required
The AI won't make scaling decisions on its own. You decide when a service needs more or fewer instances.
SYNC
Real-time state check
The AI verifies the update was successful. You get confirmation that your AWS environment matches your request.
The workflow
What your AI does when <the thing arrives>.
The AI acts as the bridge between your instructions and your Flightcontrol deployment.
Check current load
The AI looks up the current scaling configuration for your specific AWS services to understand your baseline.
get_service_scalingPropose changes
Based on your request, the AI calculates the necessary instance count to handle your expected traffic.
get_service_scalingApply new counts
The agent sends the updated scaling parameters to Flightcontrol to modify your AWS service.
update_service_scalingConfirm scaling
The AI re-checks the service settings to ensure the new instance count is active.
get_service_scaling
Try it
Copy these to start.
Use these prompts to begin managing your AWS capacity.
Starting points
Replace the service names with your actual Flightcontrol service identifiers.
Flightcontrol Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_V0rwIPVlSzVozAT6HiedbE6p9bh46ahn9xB9Lbbb/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 — Flightcontrol capabilities are ready to use.
{
"mcpServers": {
"flightcontrol-aws-paas-deployments-mcp": {
"url": "https://edge.vinkius.com/vk_preview_V0rwIPVlSzVozAT6HiedbE6p9bh46ahn9xB9Lbbb/mcp"
}
}
}What is the current scaling configuration for my 'api-gateway' service?
Scale my 'worker-service' to 5 instances.
Check the scaling settings for all my services in Flightcontrol.
Update the 'frontend-app' service to have 2 instances instead of 1.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Flightcontrol once, then ask.
Link your account in one click. Your credentials stay encrypted and secure, and you can start managing AWS through your favorite AI client immediately.
Connect Flightcontrol to your AIFAQ
How this task behaves
- 01
Can the AI scale my services automatically based on CPU usage?
No. The AI only updates scaling counts when you explicitly tell it to do so.
- 02
Will the AI delete my AWS services?
No. This MCP only has tools to get and update scaling counts, not to delete services.
- 03
Do I need to use the AWS Console to verify the changes?
No. Your AI can verify the new scaling settings directly using the available tools.
- 04
Can the AI create new services in Flightcontrol?
No. The AI is limited to managing the scaling of existing services.
- 05
Does the AI handle my AWS billing?
No. The AI only manages service instance counts via Flightcontrol.
More questions about Flightcontrol? The Connector page answers them. See everything the Flightcontrol Connector can do
Connect Flightcontrol to Claude, Cursor, ChatGPT & more
