Token Optimizer
Optimizes token usage for Claude Code and Claude Desktop through intelligent caching and Brotli compression, significantly reducing LLM context window costs.
Acerca de
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.
Características Principales
- 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
Casos de Uso
- 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
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