Architecting Agentic Sandboxes: How Code Mode Solves Context Bloat in Model Context Protocol
The Model Context Protocol (MCP) has quickly emerged as an open standard for connecting AI agents to enterprise systems, developer environments, and external data sources. By defining a universal JSON-RPC interface, MCP allows an agent to discover and invoke tools across diverse backends without bespoke integrations. However, standard MCP deployments quickly hit an architectural bottleneck: […]