Log Reducer is an MCP (Model Context Protocol) server designed to dramatically reduce the size of log files for AI consumption, achieving 50-90% token reduction via 18+ deterministic, rule-based transforms. It integrates seamlessly with AI coding agents (such as Claude Code and other MCP-compatible clients), letting the AI call `reduce_log` to preprocess raw logs before analysis. Common use cases are for developers who want smarter, more efficient AI assistance with debugging and large log analysis, without wasting model context on irrelevant or redundant lines. Log Reducer also provides a CLI for direct use in scripts and pipelines.
Visit Log Reducer's official website for product details and getting started.