Connectez Sentry (Alternative) à ChatGPT, Claude et Gemini

• 01 / 03Analyser les régressions de version
• 02 / 03Déboguer les erreurs
• 03 / 03Gérer les incidents Sentry

Jour le plus rapide

865ms

Jour le plus lent

1381ms

Tendance sur 14 jours

En ralentissement+26%

Sentry Connector

Tout est prêt. Choisissez votre client MCP et suivez les instructions de configuration.

Lien du connecteurhttps://edge.vinkius.com/vk_preview_UdHnFmprmwayCFV8FiFHkye9JqzNMUa8tL9yL63m/mcpCopier

Claude Desktop

Suivez les étapes ci-dessous pour vous connecter en quelques secondes.

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.jsonCopier

{
  "mcpServers": {
    "sentry-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UdHnFmprmwayCFV8FiFHkye9JqzNMUa8tL9yL63m/mcp"
    }
  }
}

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

Les instructions pas à pas pour chaque client sont dans le guide. Comment connecter

Configuration guidée pour Claude ? Configurer Sentry avec Claude et les autres IA

Voyez tous les clients IA avec lesquels ce connector fonctionne ↑

• 01

  Ingénieurs d'astreinte

  Pour trier instantanément les nouvelles erreurs et consulter les stacktraces sans ouvrir Sentry.

• 02

  Engineering Managers

  Pour auditer les règles d'alerte et surveiller la santé des releases sur tous les projets.

• 03

  Développeurs

  Pour rechercher des erreurs spécifiques et vérifier quelle version a introduit une régression.

• 01

  How do I connect my Sentry account?

  You need to provide a Sentry Internal Integration Token when you subscribe to the MCP on Vinkius. Once connected, your AI client can immediately start querying your data.

• 02

  Which AI clients can I use with this MCP?

  This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 03

  Can my agent actually fix issues in Sentry?

  The agent can update issue statuses, assign them to team members, and add or remove tags using the update_issue capability.

• 04

  Is my Sentry data secure?

  Vinkius manages your credentials and hosts the MCP, ensuring your token is used only to facilitate the connection between your agent and Sentry.

• 05

  Can I see stacktraces through my AI agent?

  Yes, by using the list_events or get_event capabilities, your agent can retrieve full stacktrace snippets and event details.

• 06

  How do I create a Sentry Internal Integration Token?

  Go to your Sentry Organization Settings, select API Keys > Create New Integration. Name it (e.g. 'Vinkius MCP'), select the scopes you need (recommended: org:read, project:read, event:read, team:read, release:read), and click Save. Copy the token immediately. it starts with sntrys_ and won't be shown again.

• 07

  Can I resolve or mute an issue directly from the agent?

  Yes! Use the update_issue action with the issue's numeric ID and set status to resolved (marks it fixed), muted (hides it from the inbox) or deleted (removes it permanently). You can also reassign issues using the assigned_to parameter.

• 08

  What Sentry query syntax does the search support?

  Sentry uses its own query syntax. Common filters include: is:unresolved (open issues), is:resolved (fixed issues), priority:[1-50] (priority levels), first_release:1.2.3 (issues introduced in a specific release), user.email:example@co.com (errors affecting a specific user). You can combine filters: is:unresolved priority:50.

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