Provides AI chat history compression tools for Model Context Protocol-compatible clients.
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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.
主要功能
01Token-based chat history trimming
02AI-powered chat history summarization
03Configurable context window and compression thresholds
04Preservation of system and recent messages
05Standardized Model Context Protocol (MCP) integration
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使用案例
01Reducing token consumption for long AI conversations
02Maintaining relevant chat history for AI assistants