> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dmarceye.com/llms.txt
> Use this file to discover all available pages before exploring further.

# MCP Server Overview

## **Overview**

The **DMARCeye MCP Server** enables secure, AI-powered access to your DMARC data through the Model Context Protocol (MCP).

By connecting DMARCeye to AI assistants such as ChatGPT, you can interact with your account using natural language — generating reports, analyzing domains, reviewing alerts, and managing teams without navigating the DMARCeye dashboard.

The MCP Server creates a centralized, secure access layer for your DMARC data, unlocking a new way to manage and monitor your email security infrastructure.

## **What is MCP?**

The **Model Context Protocol (MCP)** is a standardized way for AI systems to securely access external tools and data sources.

Think of MCP as a secure bridge between:

* Your DMARCeye account
* AI assistants (e.g., ChatGPT)
* Your operational workflows

The DMARCeye MCP Server exposes selected account capabilities as structured tools that AI assistants can invoke safely and with proper authorization.

## **Architecture & Security**

Security is built into every layer of the integration:

### **Authentication**

* Uses secure OAuth authorization
* Access is tied to your authenticated DMARCeye account
* Only accessible teams and data are exposed

### **Authorization**

* MCP respects your DMARCeye role and permissions
* Users can only access teams and domains they are authorized for

### **Data Handling**

* No persistent data storage in the MCP layer
* Real-time read access to DMARCeye data
* Actions are executed within your account context