An MCP server that connects to Sentry.io or self-hosted Sentry instances to retrieve and analyze error reports, stack traces, and debugging information.
MCP server for integrating self-hosted Sentry with AI assistants, enabling project and issue listing, issue details with stack traces, and event retrieval.
MCP server for self-hosted Sentry instances, providing tools to query and triage issues and events, inspect stack frames, manage releases, and access raw Sentry API.
A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API.
An MCP server that instruments Cursor AI agent interactions with OpenTelemetry traces and logs to monitor agent turns and performance. It enables tracking of user queries, assistant responses, and tool usage through GenAI-compliant telemetry spans.
MCP server for enterprise operations, enabling Sentry error triage, Linear issue sync, and Slack incident response with tools for parsing stacktraces, dispatching alerts, and generating postmortems.