Over the past year, I’ve found myself repeatedly hitting the same limitation with “agentic AI” tools. They’re impressive at first — summarising emails, setting reminders, even writing code — but only within a narrow set of built-in capabilities. The moment you try to stretch them into something slightly more ambitious or personalized, they simply aren’t designed to go there.
To go beyond these constraints, we can take two approaches. One is structured tool exposure — frameworks like the Model Context Protocol (MCP), which allow external cloud services to hook into your agent of choice. Anthropic, OpenAI, and most other platforms support MCP. The other is more experimental: giving agents, like OpenClaw, broader system-level access to our personal machines.
