Multi-Turn Conversation Compressor MCP Connector for Claude
A+Deterministic engine for reducing conversation history size while preserving semantic continuity.
This MCP server provides a deterministic engine to manage LLM context window constraints. It allows AI agents to reduce the volume of historical conversation data using three distinct mathematical strategies: sliding_window for immediate context, summary_injection for long-term semantic retention, and importance_based for prioritizing critical information. The server includes tools like compress_conversation_tool to execute these strategies and evaluate_compression_quality_tool to analyze if the reduction was too aggressive or inefficient. It is designed to maintain high context continuity while maximizing token savings.
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