Sentry

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Retrieves and analyzes issues from Sentry.io to provide debugging information.

This Model Context Protocol (MCP) server provides tools to inspect error reports, stacktraces, and debugging information directly from your Sentry account. It offers functionalities to retrieve issue details by ID or URL and list issues by project slug, enabling efficient error analysis and resolution within your development workflow.

Key Features

01Retrieves Sentry issue details by ID or URL.
02Lists Sentry issues by project slug and organization slug.
03Provides full stacktrace information for detailed analysis.
04Formats issue details as conversation context for seamless integration.
05Supports installation via Smithery, uv, and pip.

Use Cases

01Debugging application errors by retrieving detailed Sentry issue information.
02Analyzing error trends by listing issues within a specific project.
03Integrating Sentry error data into conversational AI platforms for automated troubleshooting.