Conecte Sentry (Alternative) ao ChatGPT, Claude e Gemini

• 01 / 03Como analisar regressões de release
• 02 / 03Como depurar erros
• 03 / 03Como gerenciar problemas no Sentry

Dia mais rápido

865ms

Dia mais lento

1381ms

Tendência de 14 dias

Desacelerando+26%

Sentry Connector

Tudo pronto. Escolha seu cliente MCP e siga as instruções de configuração.

Link do conectorhttps://edge.vinkius.com/vk_preview_UdHnFmprmwayCFV8FiFHkye9JqzNMUa8tL9yL63m/mcpCopiar

Claude Desktop

Siga os passos abaixo para conectar em segundos.

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.

Configuração · claude_desktop_config.jsonCopiar

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

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

Instruções passo a passo para cada cliente estão no guia. Como conectar

Configuração guiada para o Claude? Configurar Sentry no Claude e outras IAs

Veja todos os clientes de IA com quem este connector funciona ↑

• 01

  Engenheiros de On-Call

  Para realizar triagem instantânea de erros, visualizar stacktraces e verificar resoluções sem abrir o dashboard do Sentry.

• 02

  Gerentes de Engenharia

  Para auditar regras de alerta, monitorar a saúde das releases e acompanhar o volume de issues abertas.

• 03

  Desenvolvedores

  Para buscar erros específicos, inspecionar breadcrumbs de eventos e identificar quais releases introduziram regressões.

• 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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