Sentry Integration

The Sentry integration allows you to access your Sentry error reports, analyze issues, and manage debugging data directly from myGPT.

Overview

Sentry is a leading platform for error monitoring and performance monitoring. With the myGPT integration, you can:

• Access Sentry issues and error reports
• Search for errors in specific files
• Query projects and organizations
• Create and manage DSNs for projects
• Run autofix operations and retrieve their status

Setup

The Sentry integration uses OAuth authentication for secure access to your Sentry data.

Activation Steps:

1. Enable Tool: Select the Sentry tool in your assistant
2. Authentication: You'll be automatically redirected to Sentry to authorize the connection
3. Select Organization: Choose the Sentry organization you want to access
4. Confirm Permissions: Review and accept the requested permissions
5. Done: After successful authentication, all features will be available to you

Available Features

Issue Management

Retrieve Issues

Access your Sentry issues and error reports:

"Show me the latest errors in my project"
"List all critical issues from the last 24 hours"
"Which errors occur most frequently?"

Search for Errors in Files

Find specific errors in your source files:

"Search for errors in the app.tsx file"
"Show me all errors in the authentication module"
"What issues are there in payment.js?"

Project Management

Query Projects

Get information about your projects and organizations:

"List all projects in my organization"
"Show me the configuration of the frontend project"

Create DSN

Create and manage Data Source Names for new projects:

"Create a new DSN for the mobile app project"
"Generate DSN for the microservice auth-service"

Autofix Features

Run Autofix

Use Sentry's AI-powered autofix function:

"Run autofix for Issue PROJ-123"
"Analyze and fix the TypeError in Issue 456"

Check Autofix Status

Track the progress of autofix runs:

"Show the status of autofix for Issue PROJ-123"
"Are the autofix suggestions for Issue 789 ready?"

Usage Examples

Error Diagnosis

"Analyze Issue PROJ-567 and suggest solutions"
"Show me the stack trace and context for the latest TypeError"

File-specific Debugging

"Check Sentry for errors in checkout.tsx and suggest improvements"
"Find all errors in the auth module and create a report"

Project Setup

"Create a new Sentry project for my payment-service and set up local instrumentation"
"Generate DSN and installation instructions for React Native"

Autofix Workflow

"Use Sentry's autofix feature for Issue 123 and help me analyze the solution"
"Run autofix for all critical issues and create a summary"

Benefits

• Proactive Debugging: Find and fix errors before users report them
• AI-powered Solutions: Use autofix for intelligent error analysis
• Contextual Information: Full access to stack traces and debugging data
• Seamless Integration: Work with Sentry without context switching
• Automation: Create workflows for error handling

Best Practices

1. Regular Review: Check for new critical errors daily
2. Prioritization: Focus on high-impact errors
3. Use Autofix: Use AI suggestions as a starting point
4. Consider Context: Analyze errors in relation to the code
5. Documentation: Document found solutions for future reference

Limitations

• Access only to organizations and projects with appropriate permissions
• Autofix features may be limited depending on your Sentry plan
• Beta status means possible changes in functionality
• Rate limits according to your Sentry plan

Privacy and Security

• Authentication is secure via OAuth 2.0
• myGPT does not store Sentry credentials
• All data is transmitted encrypted
• You can revoke the connection at any time in your Sentry settings
• Consider your company policies when sharing debugging information

Supported Clients

The Sentry MCP Server Integration has been verified in the following environments:

• Claude Desktop
• Claude.ai
• Windsurf
• Cursor
• VS Code with GitHub Copilot