MCP Gateway Access Controls: Defining Permissions for LLM Agents
Blog post from Lunar.dev
MCP Gateway introduces fine-grained access controls for LLM agents interacting with third-party APIs, emphasizing the need for secure and compliant usage through scoped permissions, auditability, and enforcement mechanisms. The Access Control Lists (ACLs) feature within MCPX allows developers to configure access across multiple granularity levels using a declarative YAML file, defining permissions at the global, consumer, service, and tool levels. This setup helps avoid issues like excessive agency, where AI agents might inadvertently invoke critical tools, by ensuring only authorized agents can access specific tools and services. The system supports organizing tools into meaningful categories, or toolGroups, for more granular control, enabling teams to manage tool access efficiently based on business context. The ACL approach centralizes enforcement without coupling it to agent-side logic, making it secure, clear, and scalable. Looking ahead, the platform plans to enhance runtime behavior enforcement with traffic shaping policies, prioritization queues, rate limiting, and audit logging to further secure LLM infrastructure.