Sentry
CreatedFaureAlexis
Enables AI agents to access and analyze Sentry error data through a Modern Context Protocol (MCP) server.
About
This TypeScript implementation of a Sentry MCP tool empowers AI agents to seamlessly access and analyze Sentry error data. It provides both tool and prompt interfaces, allowing for flexible integration. The server retrieves and formats issue details, including stack traces, enabling AI agents to understand and address software issues effectively. Integration with development environments like Cursor IDE further enhances the development workflow.
Key Features
- Supports both tool and prompt interfaces
- Real-time communication
- Get formatted issue details and metadata
- Retrieve and analyze Sentry issues
- View detailed stacktraces
Use Cases
- Integrate Sentry issue analysis into AI-powered development workflows
- Enhance IDEs with seamless Sentry issue insights
- Enable AI agents to automatically triage and prioritize Sentry errors