Provides AI chat history compression tools for Model Context Protocol-compatible clients.
Optimize large language model interactions by efficiently managing chat history context. SlimContext offers two powerful strategies for AI chat history compression: token-based trimming for rapid, deterministic context reduction, and AI-powered summarization that intelligently condenses past conversations using OpenAI. This server seamlessly integrates with Model Context Protocol (MCP) clients, enabling developers to build more robust and cost-effective AI applications by keeping conversational context within model limits.