Implementing RBAC (Role-Based Access Control) for MCP

As AI agents become increasingly integrated into enterprise workflows, accessing sensitive and proprietary data through protocols like MCP, securing that data becomes paramount. The Model Context Protocol is designed to ground AI models with relevant information, but this power necessitates robust access controls. Simply connecting a model to a data source without checks is a significant security vulnerability, potentially exposing confidential information to unauthorized agents or models.

Role-Based Access Control (RBAC) provides a structured approach to managing who can access what data within your MCP ecosystem. Instead of granting permissions directly to individual users or agents, RBAC assigns permissions to roles. Users and agents are then assigned one or more roles, inheriting the permissions associated with those roles.