- STATUS
- SCHEMA
- AUDIT
- HUMAN
Short answer
How can I check my deployment status with AI?
Your AI uses Cloudify to pull live deployment lists and specific runtime schemas. You get immediate visibility into your infrastructure through a chat interface. Here is how the data flows.
Visibility outcomes.
What you see in chat.
The AI pulls data from Cloudify to answer your questions.
STATUS
Live deployment tracking
The AI checks current deployment states. You get a clear picture of what is running and what isn't.
SCHEMA
Runtime schema access
Your agent pulls active schemas directly. This lets you inspect the structure of your running environments.
AUDIT
Deployment inventory
The AI scans your account to find specific instances. You can locate deployments without opening a dashboard.
HUMAN
Manual control
The AI only reads and reports data. You still handle all actual changes or fixes to the infrastructure yourself.
The workflow
What your AI does when the status is requested.
The AI acts as a bridge between your chat interface and your Cloudify environment.
Scan deployments
The AI looks for all active deployments in your account to build a baseline.
list_deploymentsFilter targets
It uses the list to find the specific deployment you asked about.
list_deploymentsFetch schema
The AI pulls the specific runtime schema for that deployment to give you technical details.
get_deploymentReport status
The agent translates the technical schema and status into a plain English summary for you.
get_deployment
Try it
Copy these to start.
Use these prompts to begin interacting with your infrastructure.
Starting points
These are opening lines. Swap out the deployment names for your actual Cloudify IDs.
Cloudify Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_YIdeRn0hAqBloQdQ3tH0JMinN2MrEDBkMrsxMQwv/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 — Cloudify capabilities are ready to use.
{
"mcpServers": {
"cloudify-mcp": {
"url": "https://edge.vinkius.com/vk_preview_YIdeRn0hAqBloQdQ3tH0JMinN2MrEDBkMrsxMQwv/mcp"
}
}
}List all my current deployments.
What is the status of the production-api deployment?
Show me the runtime schema for the web-frontend deployment.
Are there any deployments currently running in my account?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Cloudify once, then ask.
Follow the link to authorize the connection. Your credentials stay encrypted, and you can immediately start chatting with your data.
Connect Cloudify to your AIFAQ
How the monitoring behaves
- 01
Can the AI change my deployment settings?
No. This MCP only provides tools to read deployment lists and schemas. It cannot modify your infrastructure.
- 02
Does the AI delete any deployments?
No. There are no tools available to delete or remove deployments through this interface.
- 03
How often does the AI see updates?
The AI sees data in real time because it calls the tools every time you ask a question.
- 04
Can I see the schema for a specific deployment?
Yes, the AI can pull the active runtime schema for any deployment you specify.
- 05
Do I need to stay in the Cloudify dashboard?
No. Once connected, you can perform all these checks directly from your AI client.
More questions about Cloudify? The Connector page answers them. See everything the Cloudify Connector can do
Connect Cloudify to Claude, Cursor, ChatGPT & more
