Sentry for AI
Connect Sentry to your AI coding assistants and workflows. Install agent skills, use the MCP server, or add monitoring to your AI applications.
Agent Skills
Teach your AI coding assistant how to set up and configure Sentry. Works with Claude Code, Cursor, GitHub Copilot, and more.
Sentry MCP Server
Connect your AI assistant directly to Sentry using the Model Context Protocol for real-time error analysis and debugging.
dotagents
A package manager for .agents directories. Declare agent skill dependencies, lock versions for reproducibility, and share skills across your team.
AI Monitoring
Add Sentry monitoring and debugging to your AI agents and MCP servers. Track LLM calls, token usage, and tool executions.
Sentry CLI
A natural-language CLI for developers and AI agents. List issues, get root cause analysis from Seer, and manage your Sentry projects from the terminal.
Looking for Sentry's AI-powered debugging features? Sentry uses AI to help you debug faster with automated root cause analysis, fix suggestions, and AI-powered PR reviews. Learn more about AI In Sentry.
Seer - Root Cause Analysis & Issue Fix
Automated root cause analysis and code fixes for your issues, powered by Seer.
Seer - Bug Prediction / AI Code Review
Get error predictions and code reviews on your pull requests before merging.
AI Replay Summaries
Get AI-generated summaries of session replays to debug issues faster.
AI-Powered Query Builder
Use natural language queries to search your traces and spans data in Trace Explorer.
Our documentation is open source and available on GitHub. Your contributions are welcome, whether fixing a typo (drat!) or suggesting an update ("yeah, this would be better").