AI Agent Architecture

MCP solves the integration complexity that has stalled enterprise agent deployments.

MCP servers act as the agent's interface to external tools, data, and services.

Most AI pilots fail at scaling, not modeling—pick frameworks that handle governance and permissions.

Enterprise systems built over decades resist integration, and MCP solves only the connectivity half.

Indirect injection through retrieved documents poses a harder threat than direct attacks.

Stateless agents scale simply; stateful ones handle complex workflows that stateless cannot.

Agents gain permissions faster than enterprises can govern them.