Model Context Protocol — the open protocol connecting agents to tools, data, and services through a standard interface. The most active area of the Prefactor blog: authentication, authorization, and audit patterns for MCP servers and clients in production.
Tie AI agent actions to verified users with scoped, short-lived tokens, audit trails, and HITL approvals to prevent over-permissioning and token misuse.
MCPLearn the difference between Model Context Protocol (MCP) and AI agents — and how MCP provides the access and security layer that agents need to function safely.
MCPLearn what an MCP Gateway is, how it fits into the Model Context Protocol stack, and how it simplifies secure agent access to APIs.
MCPUnderstand the difference between MCP servers and MCP clients — and how they work together to enable secure access for AI agents and automated systems.
MCPLearn what Model Context Protocol (MCP) is, why it's suddenly everywhere, and what it means for the future of AI agents, APIs, and secure access.
Prefactor helps teams observe, evaluate, and improve their AI agents in production — across every framework and provider.