Sentry Integration
Retrieves and analyzes Sentry issues, providing detailed information about errors in applications.
About
This tool is a Model Context Protocol (MCP) server that enables AI assistants to access and analyze Sentry issues, delivering detailed insights into application errors. It offers functionalities to inspect error reports, stack traces, and other debugging information directly from your Sentry account. By providing structured issue details, it facilitates improved error understanding and resolution workflows within AI-powered development environments.
Key Features
- Provides detailed issue information including title, status, level, and timestamps.
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- Offers formatted issue details as conversation context.
- Includes full stack trace analysis.
- Retrieves Sentry issues by ID or URL.
- Supports authentication via command-line option or environment variable.
Use Cases
- Providing AI assistants with the ability to analyze and understand application errors.
- Integrating Sentry issue data into AI-powered development workflows.
- Debugging applications with context provided by Sentry error reports.
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