The Agent Examiner

Guides

How-to and explainer guides on AI agents and the Model Context Protocol — answer-first, and grounded in the same sourced data behind our platform dossiers and MCP directory.

• 1 July 2026How to connect an MCP server to your AI agentA step-by-step guide to connecting a Model Context Protocol (MCP) server to an AI agent: pick a server, choose a transport, configure it, and verify the tools show up.
• 1 July 2026How to give an AI agent long-term memoryWhat long-term memory means for AI agents, the common approaches (context, vector stores, knowledge graphs, files), and how to choose based on how your agent platform handles state.
• 1 July 2026How to run an AI agent 24/7What it takes to keep an AI agent running around the clock: hosting options, failure recovery, triggers, and cost — plus how managed platforms and compute infrastructure differ.
• 1 July 2026MCP-native vs bolt-on: what it means for agent platformsThe difference between platforms that treat the Model Context Protocol as first-class and those that bolt it on partially — and why the distinction affects reliability, tool breadth, and lock-in.
• 1 July 2026What is MCP (Model Context Protocol)?A plain-English explainer of the Model Context Protocol (MCP): what it is, why it exists, and what it changes for AI agents and the platforms that run them.