Token Optimizer

概要

Token Optimizer serves as a Model Context Protocol (MCP) server designed to dramatically cut down on token consumption when interacting with Claude Code and Claude Desktop. It achieves this by intelligently combining Brotli compression, a persistent SQLite-based caching system, and accurate token counting using tiktoken (GPT-4 tokenizer). The server provides a suite of tools that allow users to compress and cache text, retrieve optimized content, analyze optimization potential, and monitor cache statistics, enabling up to 95%+ token reduction for more efficient LLM interactions.

主な機能

• Zero external dependencies for completely offline operation
• 2 GitHub stars
• Persistent SQLite-based caching across sessions
• Token-Efficient Compression using Brotli
• Accurate token counting with tiktoken (GPT-4 tokenizer)
• Comprehensive compression analysis and optimization recommendations

ユースケース

• Reduce token costs when passing large text content to Claude Code or Desktop
• Cache frequently used code snippets or documentation for instant retrieval and reduced LLM calls
• Analyze text to understand potential token savings through compression before submitting to an LLM