Auralogs vs Sentry

An error-tracking alternative built for AI coding agents.

Considering Sentry for error tracking? Auralogs pairs structured logs and error investigation with read-only MCP access, so Codex, Claude, Cursor, and other agents can query production issues directly, using your own AI key instead of a bundled AI seat.

Your own key
AI seat cost
Read-only MCP
Agent access
One pipeline
Logs + errors
Auralogs dashboard showing error volume and recent AI analyses
Errors, logs, and AI analysis in one place, queryable by your agent over MCP.

Give AI coding agents read-only MCP access to the same errors and logs your team sees, without copying issue links into chat.

Bring your own Anthropic or OpenAI key for AI analysis and autofix, instead of a bundled AI seat.

Keep structured logs and error tracking in one pipeline instead of running a separate logging tool alongside your error tracker.

How it works

Start with structured logging, then choose how much agent automation you want on top of it.

Install the SDK

Send structured logs and captured errors from your app to Auralogs the same way you'd initialize an error-tracking SDK.

Create a read key

Generate an MCP/API read key scoped to one project so an agent can query errors and logs without any extra account access.

Connect your agent

Point Codex, Claude, Cursor, or another MCP client at Auralogs to investigate incidents directly, instead of pasting issue details into chat.

Questions you can answer

Auralogs keeps the raw logs, metadata, and analysis context close enough for humans and agents to use.

Example prompt

Compare this error rate to before the last deploy.

Example prompt

Find every log tied to this failing trace ID and summarize what changed.

Example prompt

Has this error happened before, and did we ever open a fix PR for it?

FAQ

Is Auralogs a drop-in replacement for Sentry?

Auralogs covers structured logging and error investigation, with optional AI analysis and autofix PRs. If you rely on features Auralogs doesn't cover yet, many teams run both while migrating.

Does Auralogs use its own bundled AI models?

No. Auralogs uses a bring-your-own-key model. You configure your own Anthropic or OpenAI key, so you control AI cost and provider choice instead of paying for a bundled AI seat.

Can my coding agent access Auralogs the same way it accesses other MCP tools?

Yes. Auralogs ships its own read-only MCP endpoint scoped to one project, so Codex, Claude, Cursor, or other MCP clients can query logs and errors directly.

Try it with your next error spike

Create a free project, send your first logs, and copy the MCP/API read key for your agent.

Start free