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Auralog
AI on-call engineer for your production logs
Auralog is a structured logging platform with an AI on-call engineer built in. Send logs, then let Claude, Codex, or Cursor investigate incidents over MCP. Search logs, pull related events, and open autofix PRs.
Hey Product Hunt 👋 I'm James, founder of Auralog.
Auralog is a logging platform built for the way developers actually work in 2026: half-human, half-agent. You ship logs from your app (JS, Python, Java SDKs available with more on the way), and instead of staring at a dashboard at 2am, you ask your preferred AI tool what happened.
Two things make it different:
1. MCP-native. Auralog ships an MCP server, so Claude Code, Codex, Cursor, and any other MCP-aware agent can search your logs, inspect metadata, follow trace IDs, and summarize incidents, without you copy-pasting a single stack trace.
2. An AI on-call engineer. When errors land in production, Auralog can wake up Claude or Codex as on-call: it triages the issue, identifies the likely root cause, and (optionally) opens a fix PR against your repo.
Pricing: free to start, with paid tiers based on log volume. No per-seat fees. The auto-eval and auto-fix features run on your own Anthropic or Open AI API key (BYOK), so inference costs go straight to Anthropic or Open AI and you never get a surprise AI bill from Auralog.
I've been dogfooding it on my own side projects for months. It's the tool I wished existed every time I was three terminals deep tailing logs and grepping for a customer ID.
Free to try, MCP setup is one line, SDKs are open-source. Would love feedback, especially from people who've wired up MCP servers to their own stacks. AMA in the comments 🙏
About Auralog on Product Hunt
“AI on-call engineer for your production logs”
Auralog was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #122 on the daily leaderboard. Auralog is a structured logging platform with an AI on-call engineer built in. Send logs, then let Claude, Codex, or Cursor investigate incidents over MCP. Search logs, pull related events, and open autofix PRs.
On the analytics side, Auralog competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Auralog performed against the three products that launched closest to it on the same day.
Who hunted Auralog?
Auralog was hunted by James Thomas. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Auralog including community comment highlights and product details, visit the product overview.
James Thomas