- TRIAGE
- CONTEXT
- POLICY
- HUMAN
Short answer
How can I use AI to handle incident response?
Your agent uses Tingyun to watch for active alerts and pull application performance summaries during an outage. This gives you a clear picture of what's failing without manual digging. You get immediate context for every alert.
Where every issue lands.
Incident outcomes
The AI handles the data gathering so you can focus on the fix.
TRIAGE
Instant alert visibility
The AI pulls current alerts so you know exactly what is firing. You skip the manual dashboard hunting.
CONTEXT
App performance summaries
Your agent grabs performance data for the specific app experiencing issues. You get the technical context immediately.
POLICY
Alert rule review
The AI checks your existing alert policies to see why something triggered. This helps you spot misconfigured rules.
HUMAN
Manual intervention
The AI identifies the problem and gathers the data, but you still make the final call on the fix. It stays in your control.
The workflow
What your AI does when an alert arrives.
The AI moves from detection to context gathering automatically.
Detecting issues
The agent checks for any active alerts currently firing in your system.
list_alertsChecking rules
It looks at your configured alert policies to understand the logic behind the trigger.
list_alert_policiesGathering context
The AI pulls a summary of the application's performance to find the root cause.
get_app_summaryReporting
The agent presents the alert details and performance data in your chat window.
list_alerts
Try it
Copy these to start.
Use these prompts to kick off an investigation.
Starting points
These are starting points. Swap out the specific app names or alert IDs for your own.
Tingyun / 听云 Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_LYTPskntXjT3hDeJtLttKdaHELmt1TtQotKDAVf3/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 — Tingyun / 听云 capabilities are ready to use.
{
"mcpServers": {
"tingyun-mcp": {
"url": "https://edge.vinkius.com/vk_preview_LYTPskntXjT3hDeJtLttKdaHELmt1TtQotKDAVf3/mcp"
}
}
}List all active alerts currently firing in Tingyun.
Get a performance summary for the 'Payment-Gateway' app.
Show me the alert policies for the 'User-Auth' service.
Summarize the most recent alerts and tell me which app is most affected.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Tingyun once, then ask.
One link connects the MCP to your client. Your credentials stay encrypted and secure on our side.
Connect Tingyun to your AIFAQ
How the automation works
- 01
Can the AI fix the code or restart the server?
No. The AI only reads alert data and performance summaries. You must perform all corrective actions yourself.
- 02
Can the AI delete my alert policies?
No. The tools only allow the AI to list and read data. It cannot modify or delete your configurations.
- 03
Does the AI monitor my apps in real-time?
The AI pulls the most recent data whenever you ask it to check for alerts or summaries.
- 04
Can I use this with Claude?
Yes, you can use this with any MCP-compatible client like Claude or Cursor.
- 05
How does the AI know which app is failing?
It uses the app summary tool to pull specific performance data once an alert is identified.
More questions about Tingyun? The Connector page answers them. See everything the Tingyun Connector can do
Connect Tingyun / 听云 to Claude, Cursor, ChatGPT & more
