- PROVISION
- MONITOR
- INVENTORY
- HUMAN
Short answer
How can I deploy edge workloads with my AI?
You tell your agent what you need, and it uses the StackPath MCP to spin up containers or VMs at the edge. You can also ask it to check on what's currently running. This gives you direct control over your edge compute via natural language.
Workload outcomes
What you can achieve
These are the results of your requests.
PROVISION
New edge workloads
Your AI sends the configuration to StackPath to launch a new container or VM. You get your compute resources live at the edge.
MONITOR
Live workload status
The agent pulls a list of everything currently running. You get a clear view of your active edge footprint.
INVENTORY
Resource oversight
Your AI tracks your active deployments. You can query specific details about your edge presence whenever you need.
HUMAN
Architecture design
The AI handles the deployment execution. You still make the high-level decisions about how your network should be structured.
The workflow
What your AI does when a request arrives.
Your agent translates your intent into specific API calls to the StackPath edge.
Interpret intent
The agent determines if you want to launch a new resource or check on existing ones.
create_workloadlist_workloadsLaunch workloads
The AI triggers the creation of a container or VM based on your specific requirements.
create_workloadCheck status
The agent verifies the state of your edge environment to confirm everything is running as expected.
list_workloadsReport results
Your agent provides a summary of your active workloads and their current status.
list_workloads
Try it
Copy these to start.
Use these prompts to begin interacting with your edge infrastructure.
Starting points
Replace the bracketed details with your specific container or VM requirements.
StackPath Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_W7U720ICzrXaXVk2m1g5O4ZTKY0wsqbGhAK2CQMo/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 — StackPath capabilities are ready to use.
{
"mcpServers": {
"stackpath-edge-computing-cdn-api-mcp": {
"url": "https://edge.vinkius.com/vk_preview_W7U720ICzrXaXVk2m1g5O4ZTKY0wsqbGhAK2CQMo/mcp"
}
}
}Create a new container workload on the edge with 2GB of RAM.
Show me a list of all my current workloads running on StackPath.
Deploy a lightweight VM to the edge to handle incoming requests.
Check the status of my existing edge workloads.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect StackPath once, then ask.
Link your account once and your credentials stay encrypted. You can then manage your edge via any compatible client.
Connect StackPath to your AIFAQ
How this task behaves
- 01
Can my AI delete workloads?
No. The current tools only allow for creating and listing workloads. You must handle deletions manually in your dashboard.
- 02
Can the AI change my billing settings?
No. The AI only manages workloads. Billing and account management stay with the human.
- 03
Can I deploy to specific edge locations?
Yes, you can include location or region details in your prompt when asking to create a workload.
- 04
Does the AI handle scaling?
No. The AI can create new workloads, but it does not automatically scale existing ones based on traffic.
- 05
How do I see if a workload is active?
You can ask your agent to list your workloads to see their current status.
More questions about StackPath? See everything the StackPath Connector can do
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