ooples/token-optimizer-mcp
🔌 MCP Serverooples
An MCP server that slashes LLM token usage by over 95% using intelligent caching, compression, and optimization tools.
The ooples token-optimizer-mcp is a sophisticated middleware solution built for the Model Context Protocol (MCP) ecosystem. It addresses one of the most critical bottlenecks in AI development: the high cost and latency associated with large token counts in LLM interactions. The server acts as an intelligent proxy that intercepts requests to apply multi-layered optimization strategies. Key features include aggressive context caching, which prevents redundant prompt processing, and advanced compression algorithms that condense input data without sacrificing semantic integrity. With a library of 80+ smart tools, users can perform granular code analysis, filter irrelevant context, and implement real-time monitoring of token expenditure. This allows developers to maintain high-performance AI agents while keeping API budgets under control. The architecture is modular, making it easy to integrate into existing workflows that utilize MCP-compliant clients, providing a seamless bridge between raw data input and optimized LLM processing.
💡Highlights
- ├─95%+ reduction in token usage
- ├─80+ specialized optimization tools
- └─Real-time token monitoring
🎯For
- ├─AI Engineers
- ├─Backend Developers
- └─LLM Application Architects