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Servers/Monitoring/getsentry/sentry-mcp
MonitoringOfficialPython
G

getsentry/sentry-mcp

Sentry.io integration for error tracking and performance monitoring

0 starsUpdated Aug 28, 2026
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Overview

Sentry.io integration for error tracking and performance monitoring

Installation

npx @sentry/mcp-server@latest --access-token=sentry-user-token

Configuration

{
  "mcpServers": {
    "sentry": {
      "url": "https://mcp.sentry.dev/mcp",
      "headers": {
        "Authorization": "Sentry-Bearer ${SENTRY_ACCESS_TOKEN}"
      }
    }

Capabilities

  • Investigate errors and issues

    Ask your assistant to pull up Sentry error details, stack traces, and issue context for debugging during coding sessions.

  • Trace performance problems

    Have your assistant analyze distributed traces and performance data to pinpoint slow transactions or bottlenecks.

  • Search events with natural language

    Use `search_events` to let your assistant translate plain-English queries into Sentry's search syntax for finding relevant events.

  • Triage and manage issues

    Instruct your assistant to review, assign, or update issue status directly from your coding workflow.

  • Query project and team info

    Retrieve Sentry organization, project, and team metadata to understand ownership and scope while debugging.

Tags

  • sentry
  • monitoring
  • observability-incident
  • performance
  • awesome-list

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