auralog

Auralogs is a structured logging tool for AI-assisted teams that want production logs their agents can query. It gives Cursor, Claude Code, and Codex read-only access to real production logs over MCP so they can work from live context instead of pasted stack traces or screenshots.

The system centers on structured logs, with support for eight SDK languages: JavaScript, Python, Java, Swift, Go, Rust, C++, and Godot. It lets users attach metadata, search log messages or metadata, filter by level, environment, or trace ID, and follow incidents with related logs and traces. The page also describes a live timeseries dashboard, severity levels including debug, info, warn, error, and fatal, and separate views for dev, staging, and production logs. Auralogs says logs are queryable by humans, REST clients, and read-only AI agents through MCP.

Two workflows are highlighted. One is agent-led investigation, where an internal agent or a named AI tool can search production logs, inspect metadata, and summarize an incident without write access. The other is source-aware autofix, which uses GitHub only when a specific repository is connected for reviewed fix pull requests. Read keys are scoped to one project and cannot mutate settings or source code, and ingest keys are separated from read keys.

Pricing shown on the page is free forever for up to 50,000 logs per month, with no credit card required. Auralogs also states that AI analysis and autofix use the Anthropic or OpenAI key configured by the user, and that it does not resell inference. The product is presented as structured logging built for agent access and as a logging-first, agent-native tool.