- ROOT CAUSE
- LOG ANALYSIS
- EVENT CORRELATION
- HUMAN REVIEW
Short answer
How can I use AI to find service errors?
Your AI uses HyperDX tools to fetch specific error logs and structured events. It then analyzes that data to pinpoint exactly why a service failed. You get a clear explanation of the root cause instead of a wall of text.
Where every issue lands.
Debugging outcomes
The AI processes telemetry to give you these specific results.
ROOT CAUSE
Identified failure points
The AI scans logs to find the specific line or event that triggered the error. You get the exact reason for the crash.
LOG ANALYSIS
Filtered error logs
Instead of scrolling, your agent pulls only the relevant error entries. It strips out the noise so you see the signal.
EVENT CORRELATION
Linked service events
The AI looks at structured events to see how different parts of your system interacted before the failure. This maps out the sequence of events.
HUMAN REVIEW
Final fix validation
The AI presents the findings, but you decide if the suggested fix is safe to deploy. It handles the search, you handle the solution.
The workflow
What your AI does when an error occurs.
The AI moves from raw data to a diagnosis using your HyperDX telemetry.
Fetch error logs
The agent pulls the most recent error messages from your service to see what went wrong.
list_logsGather event data
It pulls structured events to provide context around the specific timestamp of the error.
list_eventsCorrelate data
The AI compares the log messages against the structured events to find patterns.
list_logslist_eventsSummarize findings
The agent translates the technical data into a plain English explanation of the failure.
list_logs
Try it
Copy these to start.
Use these prompts to kick off a debugging session.
Starting points
Replace the service names and error types with your actual data.
HyperDX Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_lc01BEQeS86qzu5Tsala3mRU7FKVPIY7tYMD90oU/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 — HyperDX capabilities are ready to use.
{
"mcpServers": {
"hyperdx-open-source-observability-mcp": {
"url": "https://edge.vinkius.com/vk_preview_lc01BEQeS86qzu5Tsala3mRU7FKVPIY7tYMD90oU/mcp"
}
}
}Find the error logs for the 'auth-service' from the last hour and tell me what caused the 500 errors.
List the recent events for 'payment-gateway' and look for any mismatches in the structured data.
Check the logs for 'api-server' to find why the database connection timed out.
Summarize the sequence of events leading up to the last critical error in the 'worker-node' service.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect HyperDX once, then ask.
Just follow the link to connect your account. Your credentials stay encrypted, and you can immediately start asking your AI about your logs.
Connect HyperDX to your AIFAQ
How the debugging task works
- 01
Can the AI fix the code for me?
No. The AI can only read logs and events to identify the problem. You must implement the fix yourself.
- 02
Can the AI delete old logs to save space?
No. The tools only allow the AI to list and read data. It cannot modify or delete anything in HyperDX.
- 03
Does the AI see all my telemetry?
The AI only sees the data it requests through the specific tools provided by the MCP.
- 04
Can I use this with any AI client?
Yes, as long as you are using an MCP-compatible client like Claude, Cursor, or Windsurf.
- 05
How does the AI know which logs are relevant?
You guide the AI by specifying the service name, error type, or timeframe in your prompt.
More questions about HyperDX? See everything the HyperDX Connector can do
Connect HyperDX to Claude, Cursor, ChatGPT & more
