MCP Optimization: Smart Caching and Real-Time Feedback - AI

Users needed better context management for AI workflows. So, I built an MCP optimization system with smart caching & real-time feedback.

Key features: context refresh, compression algorithms, multi-source data enrichment. - Real-time data processing with Redis caching - Multi-source data enrichment (financial, news, social) - Smart context compression algorithms (and embedding quantization) - Step-by-step processing visualization

I'll keep you updated

#ProblemSolving #MCP #AITools #ProductDevelopment #TechSolutions #Anthropic #ClaudeSonnet4 #BuildInPublic

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