Let AI agents debug your Valkey/Redis
MCP server for Valkey monitoring when generic database MCP tools already exist.

Sentry alternative with MCP integration, but AI can't actually auto-fix production errors.
Developers needing error tracking without enterprise platform complexity
Sentry · Rollbar · Bugsnag
It's been running in production since then, tracking JS, PHP, C#, and Java errors. Nothing fancy - error grouping, stack traces, trends, uptime checks, alerts. The kind of stuff you actually look at.
Now there are dozens of monitoring tools, but most of them have grown into expensive, complex platforms. Muscula stayed small on purpose. It just does the job.
What's new: I've recently added a CLI and an MCP server. The CLI lets you browse errors from the terminal (`muscula errors "MyProject"`) and pipe output directly into Claude Code or any other tool: muscula errors "MyProject" | claude "anything critical here?"
What MCP integration does probably you know, you can just ask AI "fix all the problems" and it's fixing.
This is for people who want to know what's broken in their app without paying too much per service or wading through a complex UI.
I'm using it all the time, hopefully you'll find that useful too.
Stack: .NET MongoDB, React, Mobx.
MCP server for Valkey monitoring when generic database MCP tools already exist.
Stack Overflow for Claude errors, but adoption requires both AI tools AND human community verification.
MCP debugging UI for Spring AI when LangChain UI exists for Python.
AI assistant for cron debugging, but Cronitor and Healthchecks already monitor jobs well.
Finally, a debug card for Home Assistant's Assist pipeline with timing breakdowns.
rr reverse debugging as an MCP server—smart MCP integration, Linux-only limits reach.