Sentry Connector

Overview

The Sentry connector enables AI Team members to access error tracking and application monitoring data from your Sentry organization. By connecting Sentry to AI Team, AI teammates can query issues, analyze error patterns, investigate crashes, monitor performance, and help diagnose application problems.

The connector provides access to organizations, projects, teams, issues, releases, and performance data, allowing AI teammates to help with error analysis, root cause investigation, and release health monitoring.

Add the Sentry Connector

To add the Sentry connector, you authorize Edge Delta to access your Sentry account using OAuth.

Prerequisites

Before configuring the connector, ensure you have:

• Sentry account with appropriate permissions
• Ability to authorize OAuth applications

Configuration Steps

1. Navigate to AI Team > Connectors in the Edge Delta application
2. Find the Sentry connector
3. Click the connector card
4. Review the requested permissions:
   • Read-only access (required): View organizations, projects, teams, issues, and releases
   • Seer (optional): Use Sentry’s AI agent for root cause analysis and fix recommendations
   • Issue Triage (optional): Update and manage issues - resolve, assign, and triage problems
   • Project Management (optional): Create and modify projects, teams, and DSNs
5. Select optional permissions as needed (Seer is enabled by default)
6. Click Approve in Sentry to authorize the connection

The connector is now available for use by AI Team members who have been assigned this connector.

Tools

list_organizations

Access available Sentry organizations and their configuration.

get_organization

Retrieve details about a specific Sentry organization.

list_projects

Browse projects across your Sentry organization.

get_project

Retrieve details about a specific project.

create_project

Create a new project in Sentry.

list_teams

Access team information and membership.

get_team

Retrieve details about a specific team.

list_issues

Search and filter issues across projects.

get_issue

Retrieve detailed information about a specific issue including stack traces and context.

update_issue

Modify issue status, assignment, or triage state (requires Issue Triage permission).

search_errors

Find errors in specific files or across projects.

analyze_issue

Perform detailed investigation of issues with full context.

invoke_seer

Use Sentry’s AI agent for automated root cause analysis and fix recommendations (requires Seer permission).

list_releases

Query release information and health metrics.

get_release

Retrieve details about a specific release.

list_dsns

Access Data Source Names configured for projects.

create_dsn

Create a new DSN for a project (requires Project Management permission).

query_performance

Access transaction and performance monitoring data.

search_sentry_data

Execute custom searches across Sentry data.

How to Use the Sentry Connector

The Sentry connector integrates with AI Team, enabling AI teammates to analyze application errors and performance based on natural language queries. Once configured, AI teammates can investigate issues, analyze error trends, and provide debugging assistance.

Use Case: Error Investigation

AI teammates can help diagnose application errors by retrieving issue details, analyzing stack traces, and identifying patterns. For example, when investigating a production error, the AI can search for related issues, analyze error frequency and user impact, examine stack traces and context, and use Seer to generate fix recommendations.

Use Case: Release Health Monitoring

AI teammates can track release health and compare error rates across versions. When asked about release quality, the AI can query release information, compare error rates between versions, identify new issues introduced in releases, and assess overall release health.

Use Case: Performance Analysis

AI teammates can analyze application performance and identify slow transactions. When investigating performance problems, the AI can query performance data, identify slow transactions, analyze transaction patterns, and correlate performance issues with deployments.

Troubleshooting

Authorization errors: Try disconnecting and reconnecting the OAuth authorization. Ensure you have appropriate permissions in your Sentry organization.

Missing data: Verify your Sentry account has access to the projects and organizations you’re trying to query. Some data may be restricted based on your role.

Permission errors: Check that you’ve granted the necessary optional permissions (Issue Triage, Project Management) for write operations. Read-only operations only require the base read access.

Next Steps

• Learn about creating custom teammates that can use this connector
• Explore other connectors to integrate additional tools

For additional help, visit AI Team Support.