- PROVISION
- MONITOR
- MANUAL
- REPORT
Short answer
How can I scale my compute clusters using AI?
Your agent uses Materialize tools to spin up new clusters or check the status of existing ones. You'll get direct control over your compute resources through your chat interface. This setup gives you a clear view of your current infrastructure and the ability to expand it on demand.
Infrastructure outcomes
Where your resources land
What happens when your agent takes action.
PROVISION
New clusters ready
Your agent triggers the creation of new compute resources. You get the exact specifications you requested without manual configuration.
MONITOR
Current state visibility
The agent pulls a list of all active clusters. You'll see exactly what's running and how they are sized.
MANUAL
Human oversight needed
The agent won't delete or modify existing cluster settings. You still hold the keys to any destructive or sensitive changes.
REPORT
Resource inventory
Your agent compiles a summary of your entire compute footprint. This makes it easy to audit your usage through conversation.
The workflow
What your AI does when <the thing arrives>.
The agent acts as the bridge between your intent and the Materialize API.
Audit current resources
The agent checks what you currently have running to ensure you don't over-provision.
list_clustersProvision new capacity
When you need more power, the agent sends the request to build a new cluster of a specific size.
create_clusterVerify deployment
The agent checks the cluster list again to confirm the new resource is active and available.
list_clustersReport status
The agent summarizes the new state of your infrastructure for your review.
list_clusters
Try it
Copy these to start.
Use these prompts to begin managing your clusters.
Starting points
Replace the bracketed text with your specific cluster requirements.
Materialize Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_b3YATqNUmev2sLGakCv9DXqsXBiI2C8N6xSKsiWQ/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 — Materialize capabilities are ready to use.
{
"mcpServers": {
"materialize-streaming-sql-db-mcp": {
"url": "https://edge.vinkius.com/vk_preview_b3YATqNUmev2sLGakCv9DXqsXBiI2C8N6xSKsiWQ/mcp"
}
}
}List all my current Materialize clusters.
Create a new compute cluster with [size] capacity.
Show me the clusters I have running right now.
I need more compute; can you provision a [size] cluster for me?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Materialize once, then ask.
Link your account in one click. Your credentials stay encrypted and secure, and you can immediately start using these tools in your preferred AI client.
Connect Materialize to your AIFAQ
How this task behaves
- 01
Can the AI delete my existing clusters?
No. The agent only has tools to list and create clusters. Deletion remains a manual task for you.
- 02
Can I change the size of a cluster after it is created?
No. The agent can only create new clusters or list existing ones. It cannot modify the configuration of a running cluster.
- 03
How do I know if the cluster creation worked?
You can ask the agent to list your clusters immediately after the creation command to verify the new resource is present.
- 04
Does the AI handle my Materialize login credentials?
No. Vinkius manages the connection securely, so your agent never sees your raw login details.
- 05
Can the agent monitor cluster performance metrics?
No. The agent can only list the clusters and create new ones. It does not have access to real-time performance or telemetry data.
More questions about Materialize? The Connector page answers them. See everything the Materialize Connector can do
Connect Materialize to Claude, Cursor, ChatGPT & more
