Raygun
Error tracking and APM with AI error resolution and MCP server.
About
Raygun is an error tracking, crash reporting, and application performance monitoring platform supporting every major programming language and framework. It groups errors by root cause, correlates issues with deployments, and provides real user monitoring alongside backend APM traces.
Raygun ships an AI Error Resolution feature that auto-prompts LLMs with stack traces and code context to suggest fixes, plus an official hosted MCP server that lets AI assistants investigate errors, performance hotspots, and user sessions directly. The platform stores every error occurrence rather than sampling, giving teams complete diagnostic data.
What it can do
- Crash reporting with full stack traces
- AI Error Resolution with LLM fix suggestions
- Official MCP server for AI assistant investigation
- APM with deployment-correlated error tracking
Setup
Install the SDK for your platform; connect the MCP server to your AI assistant.
Prerequisites
An application to monitor; Raygun account with active subscription for MCP access.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 118; Trending score 74/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.