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MonitoringErrorsDevOpsOfficial

Sentry MCP

Integrate Sentry's powerful error tracking and performance monitoring into your AI-assisted development workflow. The official Sentry MCP server allows models to retrieve issue details, analyze stack traces, and manage error reports. This enables AI assistants to help debug applications faster by providing direct access to real-time error data.

How to Install

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1. Ensure you have an MCP client installed (e.g., Claude Desktop)

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2. Click 'Visit Source' below to get the code or package

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3. Follow the README instructions in the project

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4. Add the server configuration to your MCP client config file

Configuration Example (claude_desktop_config.json)

{
  "mcpServers": {
    "sentry": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sentry"
      ],
      "env": {
        "SENTRY_AUTH_TOKEN": "YOUR_AUTH_TOKEN",
        "SENTRY_ORG": "YOUR_ORG_SLUG"
      }
    }
  }
}

Key Features

Retrieve and list application errors and issues

Analyze detailed stack traces and context

Update issue status and assignments

Integration with Sentry's organization and project APIs

Server Details

Integrate Sentry's powerful error tracking and performance monitoring into your AI-assisted development workflow. The official Sentry MCP server allows models to retrieve issue details, analyze stack traces, and manage error reports. This enables AI assistants to help debug applications faster by providing direct access to real-time error data.

Pricing

free

Tags

MonitoringErrorsDevOpsOfficial

Visit Source / Official Link

Go to the official GitHub repository to view source code, documentation, and installation instructions.

GitHub Repository