How to Prevent AI Agents From Mixing Client Data
Prevent cross-client AI data leaks with scoped retrieval, audience-aware permissions, safe memory review, revocation checks, and practical isolation tests.
Phasoric Journal articles tagged mcp.
Prevent cross-client AI data leaks with scoped retrieval, audience-aware permissions, safe memory review, revocation checks, and practical isolation tests.
Your AI client connects through MCP but cannot find known notes. Diagnose authentication, mappings, Context Scope, local-only data, provider permissions and search.
Model Context Protocol (MCP) is a standardized way for AI clients to use tools and access resources exposed by compatible servers. For personal and team knowledge, its practical value is the ability to ask different assistants for authorized informat
AI models keep getting smarter, but every new session can still feel like starting over. Durable project context may be the missing layer between powerful AI and useful long-term collaboration.