# MCP: Giving AI agents access to real-time events

The Model Context Protocol lets AI agents query live event streams. Here's how it works with Queuey.

Author: Queuey
Published: 2026-03-04

AI agents are only as good as the context they have. Most agents today work with static data — a database snapshot, a document, a conversation history. But business decisions happen in real time.

## What is MCP?

The Model Context Protocol (MCP) is an open standard for giving AI models access to external tools and data sources. Think of it as a universal adapter between AI agents and your infrastructure.

## Why events matter for AI

Consider an AI agent handling customer support. Without real-time context, it might tell a customer "your order is processing" when it actually shipped 5 minutes ago. With access to live events, the agent knows exactly what's happening right now.

## How Queuey exposes events via MCP

Queuey implements MCP as a first-class delivery target. This means:

- **Event queries**: Agents can ask "what events happened for customer X in the last hour?"
- **Stream subscriptions**: Agents can subscribe to specific event types and react in real time
- **Context windows**: Agents get a sliding window of recent events, automatically managed by Queuey

## The architecture

Your services emit events to Queuey as they normally would. Queuey routes these events to multiple consumers — webhooks, APIs, and now MCP-compatible AI agents. The agent doesn't need direct database access. It gets exactly the events it needs, filtered and formatted.

## Getting started

If you're already using Queuey for event delivery, enabling MCP is a single configuration change. Add an MCP endpoint to your routing rules, and your AI agents instantly have access to your event streams.

Source: https://queuey.ai/articles/mcp-protocol-for-ai-agents/