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AI · May 4, 2026

Auralog

AI on-call engineer for your production logs

Auralog launched on May 4, 2026 with 4 votes, #2,419 of 20,538 launches that month and more than 75% of that year's launches.

What it does

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.

Structured production logging with fast search and read-only MCP access for Codex, Claude, Cursor, and internal agents. Start with logs, then add AI and autofix PRs.

Auralogs gives Cursor, Claude Code, and Codex read-only access to your real production logs over MCP, so they debug with real context instead of guessing. Stop pasting stack traces into chat. MCP/API read keys are scoped to one project and cannot mutate settings or source code. Drop-in logging for JavaScript, Python, Java, Swift, Go, Rust, C++, and Godot. AI analysis and autofix use the Anthropic or OpenAI key you configure. Auralogs does not resell inference. Start with structured logging and MCP. Connect a specific repo only when you want reviewed fix PRs. Built by engineers who wanted their own AI on-call to read real logs, not screenshots. Auralogs separates ingest keys from read keys…from auralogs.ai

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