Connecting to your systems: APIs, webhooks, and MCP

An agent that can only talk is a demo. An agent that can read your catalog, check a calendar, and create a lead is a worker. Connecting it to your systems is where the value is created, and where the risk lives, so it pays to understand the three ways it happens.

APIs: the agent's reach

Tools call your systems through APIs, your CRM, your catalog, your booking calendar. The agent requests a tool, your code makes the authenticated API call and returns the result. Give each tool the narrowest access it needs: a price-lookup tool should read the catalog, not be able to delete it.

Webhooks: events coming in

A webhook is the reverse direction: your systems calling the agent when something happens, a customer sent a message, an order was placed, a form was submitted. The webhook is the trigger that starts the agent's work. Most live agents begin their life as a handler for one inbound webhook.

MCP: a standard plug

The Model Context Protocol (MCP) is an open standard, introduced in 2024 and now supported across the major AI tools, for exposing tools and data to agents in a uniform way. Instead of hand-wiring every agent to every system, you expose a system once over MCP and any compatible agent can use it. Think of it as a universal adapter between agents and your tools, the way USB standardized plugging in devices.

Access, idempotency, privacy

• Least privilege: read-only wherever possible, write only the exact fields needed.
• Idempotency: design actions so a retry does not double-charge or double-book.
• Privacy: decide what data may leave your systems and where it goes, before you connect anything.
• Audit: log every action the agent takes, so you can answer what it did and when.