MCP vs API Security

MCP Security and API Security, while sharing some surface similarities, are fundamentally different due to the unpredictable and natural language-based nature of MCP interactions, which traditional API security measures cannot adequately address. In conventional API security, predictable and structured client interactions are protected through established measures like OAuth, rate limiting, and endpoint verification, but these do not suffice for MCP, where agentic AI systems use natural language prompts and make autonomous decisions at runtime. This results in vulnerabilities like prompt injection, tool poisoning, and rug pulls, which arise from mutable tool semantics and unpredictable call graphs that cannot be foreseen or controlled through traditional security protocols. Unlike APIs with static authorization and fixed tool semantics, MCP requires a dynamic approach that considers agent intent and action-level granularity, necessitating a dedicated control plane designed specifically for MCP systems. Credal emerges as a solution by offering MCP-native observability and real-time threat detection, focusing on monitoring agent behavior and understanding the nuances of tool semantics and prompt-based interactions to prevent and analyze attacks effectively.