- TRIAGE
- ANALYSIS
- FIX
- HUMAN
Short answer
How can my AI help me debug production errors?
Your agent pulls specific stacktraces and event data directly from Sentry to pinpoint exactly where a crash happened. It identifies the culprit code and provides the context you need to fix it. You get a clear path from error report to resolution.
Debugging outcomes
Where your debugging data lands.
The AI organizes Sentry data into these specific outcomes.
TRIAGE
Identified error patterns
The agent scans your recent issues to find recurring crashes. You get a prioritized list of what actually matters.
ANALYSIS
Deep dive context
The AI pulls specific event details and stacktraces. You see the exact line of code that failed.
FIX
Root cause summary
The agent connects the dots between different events. You receive a plain English explanation of why the error occurred.
HUMAN
Manual intervention
The AI flags complex edge cases that require your eyes. You decide when to step in and write the patch.
The workflow
What your AI does when an error occurs.
The agent moves from broad error lists to specific code failures.
Scan for issues
The agent looks through your Sentry project to find active or recent problems.
list_issuesInspect a specific issue
Once an error is identified, the agent pulls the full details for that specific issue.
get_issueExtract event data
The agent grabs the specific stacktrace and metadata from a single occurrence.
get_eventReview event history
The agent looks at multiple occurrences to see if a crash is a one-off or a pattern.
list_events
Try it
Copy these to start.
Use these prompts to kick off a debugging session.
Starting points
These are starting points. Swap out the project names or issue IDs with your actual Sentry data.
Sentry Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_UdHnFmprmwayCFV8FiFHkye9JqzNMUa8tL9yL63m/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 — Sentry capabilities are ready to use.
{
"mcpServers": {
"sentry-alternative-mcp": {
"url": "https://edge.vinkius.com/vk_preview_UdHnFmprmwayCFV8FiFHkye9JqzNMUa8tL9yL63m/mcp"
}
}
}List the most recent issues in my production project.
Get the details for issue ID 12345 and tell me why it's happening.
Look at the events for the latest crash and find the stacktrace.
List all events associated with the last reported error to see if it's repeating.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Sentry once, then ask.
Just link your Sentry account. Your credentials stay encrypted, and you can start debugging immediately in any compatible client.
Connect Sentry to your AIFAQ
How the Sentry debugging works
- 01
Can the AI fix the code automatically?
No. The AI identifies the root cause and provides the context, but you must write and deploy the actual fix.
- 02
Can the AI delete issues in Sentry?
No. The tools only allow the agent to read and list data. It cannot modify or delete your Sentry records.
- 03
Does the AI see all my Sentry data?
The AI only sees the data from the specific issues or events you ask it to look at.
- 04
Can I use this with Cursor or Claude?
Yes. Any MCP-compatible client works once you connect the Sentry MCP through Vinkius.
- 05
What happens if an error has no stacktrace?
The agent will report what metadata is available, but it cannot invent a stacktrace that doesn't exist in Sentry.
More questions about Sentry? See everything the Sentry Connector can do
Connect Sentry to Claude, Cursor, ChatGPT & more
