• VERSION
  • ISSUES
  • TRENDS
  • HUMAN

How to analyze release regressions with your AI

Connect Sentry to your AI client to bridge the gap between deployments and error spikes. Once connected, your agent can cross-reference version history with active issues to find the culprit.

Ask AI about this page

Short answer

How can I find which deployment caused my error spike?

Your AI pulls the latest release history and compares it against current error trends. It identifies which specific version introduced new issues so you can roll back or fix the bug. You get a clear map of version-specific regressions.

Where the data lands.

Regression outcomes.

The AI organizes Sentry data into actionable categories.

VERSION

Identified culprit versions

The AI uses release data to flag which specific deployment matches the timing of an error spike. You get the exact version ID responsible.

ISSUES

New error groupings

It pulls recent issues to show you exactly what broke. You see the specific error messages tied to the bad release.

TRENDS

Regression patterns

The agent compares error counts before and after a deployment. You see if a spike is a one-off or a growing trend.

HUMAN

Manual triage required

The AI identifies the problem, but you decide if a rollback is necessary. You handle the final code fix and deployment decisions.

The workflow

What your AI does when a spike occurs.

The AI automates the tedious work of digging through Sentry logs to find the connection between code changes and crashes.

  1. Fetch deployment history

    The agent looks at your recent deployment timeline to see what changed recently.

    list_releases

  2. Inspect specific versions

    It looks deeper into a suspicious version to see its specific metadata and scope.

    get_release

  3. Gather error details

    The AI pulls the current list of active issues to find matches for the new deployment.

    list_issues

  4. Correlate and report

    The agent compares the timing of the release against the error frequency to confirm the regression.

    list_issues

Try it

Copy these to start.

Use these prompts to kick off your investigation.

Starting points

These are starting points. Swap out the project names or version IDs with your actual Sentry data.

Sentry Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_UdHnFmprmwayCFV8FiFHkye9JqzNMUa8tL9yL63m/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Sentry capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "sentry-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UdHnFmprmwayCFV8FiFHkye9JqzNMUa8tL9yL63m/mcp"
    }
  }
}
Copy into chat04

  • Check the latest releases in my production project and tell me if any new errors appeared after the last deployment.

  • Compare the error count for the 'v2.4.0' release against the previous version.

  • List the most recent issues in my mobile app project and see if they are tied to a specific release.

  • Did the deployment from this morning cause a spike in issues? Check the recent releases and error logs.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Sentry once, then ask.

Just link your Sentry account once. Your credentials stay encrypted, and you can immediately start asking your AI about your error logs and releases.

Connect Sentry to your AI

FAQ

How this task behaves.

  • 01

    Can the AI fix the bugs in my code?

    No. The AI identifies which release caused the error, but you must write and deploy the actual code fix.

  • 02

    Can the AI delete issues in Sentry?

    No. The AI only reads release and issue data. It cannot modify, delete, or resolve issues in your Sentry account.

  • 03

    Does the AI need my Sentry API key?

    Yes, you provide the key during setup, but Vinkius keeps it encrypted and only uses it to power the MCP.

  • 04

    Can I use this with any AI client?

    Yes, as long as your client is MCP-compatible, like Claude, Cursor, or Windsurf.

  • 05

    Will the AI automatically roll back my deployment?

    No. The AI provides the evidence you need to make a decision, but it has no power to trigger deployments or rollbacks.

  • More questions about Sentry? The Connector page answers them. See everything the Sentry Connector can do

Connect Sentry to Claude, Cursor, ChatGPT & more