Skip to content
Neural networks and AI3 minOctober 22, 2026

MCP, APIs, webhooks and plugins: the difference

Robert MirovUpdated Oct 22, 2026

MCP, APIs, webhooks and plugins: the difference

These four terms describe different parts of automation. Mixing them makes proposals hard to evaluate. Consider one order-processing workflow to see how they differ and when they can work together.

01API: requesting an operation

An API is a software interface. It may let another program retrieve an order or update a permitted field. Developers handle authentication, data formats, limits and failures. An API does not necessarily expose every function available in the service's dashboard; the required action may be absent or subscription-dependent.

02Webhook: receiving an event

A webhook notifies another system about an event. A store might notify an integration of a new order. The receiver verifies the message and processes it. Notifications may arrive late or repeatedly, so duplicate handling and logs matter. A fixed sequence can often be automated without AI.

03MCP: exposing tools to an assistant

MCP provides a shared way for AI applications to discover and call tools. A user asks for an order, and the assistant invokes a server operation that may itself use the store's API. MCP and APIs often complement each other. Read the business introduction to MCP for the basic workflow.

04Plugin: packaging capabilities

The meaning of plugin depends on the platform. It can package tools, instructions and an interface. Current OpenAI documentation describes plugins containing an MCP server, skills or both. Other products have their own rules. Specify functions and the target application when commissioning work, rather than relying on the word plugin alone.

05How the parts can work together

A hypothetical store sends an order notification; a conventional integration creates a CRM record. Later, an employee asks an assistant about that order. An MCP tool retrieves the current record through an API, while a plugin makes the connection available in the assistant. A smaller process may not need every component.

06Choose according to the workflow

For a predictable response to an event, investigate APIs and webhooks first. For varied employee questions and follow-ups, consider MCP. If users need convenient installation in a particular client, discuss plugin packaging. Check access, operation support and maintenance before development.

07Official sources and example boundaries

Platform capabilities were checked against documentation on 22 October 2026. Interfaces, availability and permissions depend on the account and organisation settings. Workflow examples are illustrations, not client case results. Official documentation: MCP architecture · OpenAI: plugins

Summary

UZNEO can select a sufficient automation approach and connect AI to your systems. Compare standard connectors and custom MCP before building.

Need help with a project?

Tell us about your task — we'll suggest a solution and price

Frequently asked questions

Does MCP replace webhooks?

No. A conversational tool call and an event notification serve different purposes and can work together.

Does sending an enquiry to CRM require AI?

Not necessarily. A conventional integration can be simpler for a fixed, unambiguous rule.

Must a plugin have a custom interface?

No. The platform determines packaging; tools and instructions may be sufficient.

What should a development brief contain?

The source, event or user question, required action, permissions and expected result. Choose the connection method afterward.

Related services

AI, MCP and plugin integrationAI · MCP

AI, MCP and plugin integration

Telegram botsBOTS

Telegram bots

More articles

What is MCP, and when does a business need it?
Neural networks and AI3 min

What is MCP, and when does a business need it?

ChatGPT and CRM: working with enquiries through MCP
Neural networks and AI3 min

ChatGPT and CRM: working with enquiries through MCP

Claude and company knowledge: answers with sources
Neural networks and AI3 min

Claude and company knowledge: answers with sources

Claude Code and Codex: connecting work tools through MCP
Neural networks and AI3 min

Claude Code and Codex: connecting work tools through MCP

Ready-made connector or custom MCP server?
Neural networks and AI3 min

Ready-made connector or custom MCP server?

AI for catalogues and inventory: products, prices and stock
Neural networks and AI3 min

AI for catalogues and inventory: products, prices and stock

AI reports: connecting Google Ads, GA4 and CRM
Neural networks and AI3 min

AI reports: connecting Google Ads, GA4 and CRM

MCP security: deciding what AI may access
Neural networks and AI3 min

MCP security: deciding what AI may access