- DIAGNOSTICS
- TRAFFIC
- AUDIT
- HUMAN
Short answer
How can I use AI to monitor my Zuplo edge performance?
Your AI uses the Zuplo MCP to fetch real-time latency and traffic data directly from your gateway. It identifies performance spikes and summarizes gateway health through natural language queries. You get a clear picture of edge behavior without digging through dashboards.
Where your data lands.
Actionable edge insights.
The AI processes raw gateway metrics into clear outcomes.
DIAGNOSTICS
Identify latency spikes
The AI pulls specific performance data to find where requests are slowing down. You get a breakdown of edge response times.
TRAFFIC
Analyze request volume
Your agent looks at traffic patterns across your projects. It spots unusual surges or drops in activity.
AUDIT
Review project status
The AI scans your existing Zuplo setups to confirm configurations are healthy. It provides a high-level view of your gateway landscape.
HUMAN
Manual intervention
The AI flags the issue, but you decide how to fix the gateway logic or routing. It points you to the problem so you can take action.
The workflow
What your AI does when the data arrives.
The AI acts as a bridge between your Zuplo gateway and your chat interface.
Locate your gateways
The AI identifies which Zuplo environments you are working with to ensure it pulls the right data.
list_projectsFetch performance data
Once the project is identified, the agent pulls the specific latency and traffic numbers you asked for.
get_metricsAnalyze the numbers
The AI compares the current metrics against your request to find anomalies or trends in edge performance.
get_metricsReport findings
The agent translates the raw numbers into a plain English summary of your gateway health.
get_metrics
Try it
Copy these to start.
Use these prompts to begin interacting with your Zuplo data.
Starting points
These are opening lines. Swap out the project names for your actual Zuplo project IDs.
Zuplo Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_S3x61s1vxGKkgI4tbYllRJVKoRSadznsIc8VFsDI/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 — Zuplo capabilities are ready to use.
{
"mcpServers": {
"zuplo-mcp": {
"url": "https://edge.vinkius.com/vk_preview_S3x61s1vxGKkgI4tbYllRJVKoRSadznsIc8VFsDI/mcp"
}
}
}List all my Zuplo projects so I can see what's connected.
Get the latest latency metrics for my production gateway.
Show me the traffic volume for the API project from the last hour.
Are there any unusual spikes in edge performance for my main project?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Zuplo once, then ask.
Follow the link to connect your account. Your credentials stay encrypted, and you can start querying your edge data immediately.
Connect Zuplo to your AIFAQ
How this task behaves.
- 01
Can the AI change my Zuplo gateway settings?
No. The AI can only read metrics and list projects. It cannot modify your configurations or delete any data.
- 02
Does the AI see my API keys?
No. The AI only accesses the specific data provided by the tools. It does not have access to your sensitive secrets or keys.
- 03
Can I use this with Claude Desktop?
Yes, any MCP-compatible client like Claude, Cursor, or Windsurf works with this Connector.
- 04
How often does the metric data update?
The AI pulls whatever real-time data is currently available through the Zuplo API at the moment you ask.
- 05
Can the AI fix a latency issue for me?
No. The AI can diagnose the cause of the latency, but you must manually implement any fixes in your Zuplo dashboard.
More questions about Zuplo? The Connector page answers them. See everything the Zuplo Connector can do
Connect Zuplo to Claude, Cursor, ChatGPT & more
