1. Integrating Sitecore with agentic platforms

Marketer MCP and Agent API overview

The Sitecore Marketer MCP server and the Agent API enable interoperability between AI agents and SitecoreAI. They enable AI agents to perform actions directly in the platform as part of a connected system. This means common marketing activities within SitecoreAI, such as creating pages, managing assets, and optimizing campaigns, can now be performed through AI agents.

Here's how they help:

  • For marketers - they can request actions in natural language instead of navigating interfaces or writing API calls.

  • For developers - they can extend SitecoreAI and integrate with other systems using open standards and secure endpoints.

Marketer MCP server

What is MCP?

The Model Context Protocol (MCP) is an open standard that allows large language models (LLMs) to connect with external systems and access their tools. Through these tools, AI agents can perform actions such as creating content, retrieving information, or running processes.

MCP translates natural language requests into executable actions and is becoming a standard for integrating LLMs into enterprise platforms.

What is the Marketer MCP server?

The Marketer MCP server provides AI agents with secure access to marketing tools in SitecoreAI.

It enables marketers to perform tasks using natural language instead of navigating the interface or making API calls. For example, marketers can ask an AI agent to create a landing page, add a component, or localize a campaign.

The server works with MCP-compatible clients such as Claude Desktop or Cursor IDE. Through MCP, AI agents understand user intent and use the appropriate SitecoreAI tools to complete tasks.

For more information, see Marketer MCP.

Agent API

The Agent API enables AI agents to execute actions in SitecoreAI. The Marketer MCP server exposes API endpoints as tools that agents can call.

When a user submits a natural language request, the LLM interprets the request and the AI agent selects the appropriate tool. Each tool calls the corresponding Agent API endpoint and the action is executed in SitecoreAI.

For example, a create_page tool triggers a tool that calls an Agent API endpoint to create a page in SitecoreAI.

All actions follow Sitecore security, permissions, and approval workflows, ensuring operations are secure and auditable.

For more information, see Agent API.

A secure framework that allows AI agents and language models to connect with external systems, use APIs as tools, and perform approved actions while maintaining shared context and governance.

If you have suggestions for improving this article, let us know!