Sentry
Enables AI assistants to interact with the Sentry API for error data analysis, project management, and application performance monitoring.
About
This tool serves as a Model Context Protocol (MCP) server for Sentry, providing AI assistants with the ability to retrieve and analyze error data, manage Sentry projects, and monitor application performance. By using a Sentry authentication token, users can leverage a range of tools to list projects, resolve issue details, access event information, and even create new projects directly through the MCP server. It is compatible with Codeium Windsurf and supports integration with platforms like Claude, offering a streamlined way to connect AI capabilities with Sentry's monitoring and error tracking features.
Key Features
- Lists error events within a specified project.
- Retrieves and analyzes specific Sentry events.
- Creates new projects within Sentry.
- Supports multiple output formats (plain and markdown).
- 1 GitHub stars
- Lists Sentry projects and issue details.
Use Cases
- Using AI assistants to manage Sentry projects and monitor application health.
- Automating the creation of new Sentry projects based on specific criteria.
- Integrating Sentry data into AI-powered workflows for automated issue analysis.
