Designing Agent Workflows with MCP

The Model Context Protocol (MCP) introduces a structured way for AI agents to request tools, authenticate, and run actions. Instead of hardcoding access, MCP separates capabilities (what the agent can do) from credentials (how it is allowed to do it). This ensures tighter security, easier scaling, and clearer auditing.\n\nA typical workflow: the agent identifies that it needs a database query → MCP validates whether this capability is enabled → a scoped token is issued → the action is executed in a sandbox. This design minimizes the attack surface and provides full traceability.\n\nCompanies adopting MCP report faster onboarding of new tools, reduced compliance risks, and simpler debugging of agent workflows. It is quickly becoming the backbone for enterprises that want both innovation and control.