Introducing Sitecore’s marketer MCP and agent API

Let your AI act, not just suggest

5 minute read

Two businesswomen smiling and working on a laptop at an office table

Imagine working in your favorite AI assistant and asking it to do more than draft ideas—to actually take action. With the new marketer MCP, Sitecore now connects directly into AI assistants like Claude, Copilot Studio and Cursor. That means you can prompt updates, personalizations, or content changes, and have Sitecore handle the execution without switching between tools.

This release gives marketers and developers a new level of flexibility. Marketers can unify their workflows in one place and connect Sitecore to other MCP-enabled tools. Developers and partners can build agentic workflows faster than ever before by taking advantage of the MCP or the underlying agent API.

As a result, marketers now have a control hub inside their AI assistant and developers gain a more powerful way to extend Sitecore—all built on the same enterprise-ready foundation.

Marketer MCP and agent API aren’t just standalone tools either; they’re part of Sitecore Studio, which gives marketers, developers, and partners the capability to extend Sitecore and customize it to fit their unique business needs.

What is marketer MCP?

MCP might sound daunting, but marketers, please don’t run away just yet! This can really help simplify your work. So let’s start with the basics… what is an MCP? At its heart, marketer MCP is Sitecore’s implementation of the Model Context Protocol (MCP), an open standard that enables AI assistants to interact with applications in a structured and secure way.

Sitecore Studio Blog

For marketers, it becomes the bridge between their favorite AI tools (like Claude, Cursor or other LLMs) and Sitecore’s marketing engine. No new menus, no complex navigation. You can simply tell your AI what you need (“create a landing page in French with an A/B test”) and Sitecore makes it happen.

Just as importantly, because MCP is an open integration standard, marketers aren’t limited to Sitecore alone. They can connect their AI to other enterprise tools in the same way. For example, your AI could pull new tasks from Asana and use that data to update a Sitecore page—all in one seamless workflow.

The result is less friction, more creativity, and faster time-to-market.

What is the agent API?

If MCP is the marketer’s doorway, the agent API is the engine underneath and it’s designed for developers and partners. Rather than exposing only low-level APIs, it abstracts them into business-level actions such as “add component on page,” “run experiment,” or “find assets.”

Agent API Capabilities Graphic

This opens the door to intelligent, goal-driven workflows that respond directly to intent. One of the best examples is Sitecore’s partnership with Gradial, which was announced in July 2025. Gradial is powered by the agent API and demonstrates what’s possible when agentic workflows meet real-world marketing challenges:

  • Ticket-to-task automation: Convert incoming marketing requests into completed deliverables (like a Jira ticket to an automatic website update).
  • Efficient execution: Create campaign emails, social posts, landing pages, and press releases from a single brief.
  • Microsite creation: Build full microsites and campaign pages in a guided step-by-step flow.

Gradial shows what the agent API makes possible, and this is now available to any developer or partner wishing to build on top of Sitecore.

Why this change matters for marketers and developers

For marketers: From friction to flow

Marketing teams are often slowed down by tool switching, fragmented systems, and manual execution. Marketer MCP removes those barriers by connecting Sitecore directly to the AI assistants marketers already use. That means:

  • Everything in one place: From drafting your content, to updating your website—it can all happen in your AI chat window. No more switching tools.
  • Familiar interactions: Use natural language in tools like Claude to trigger Sitecore actions, no CMS expertise required. Content teams can make updates directly, without relying on digital delivery teams or navigating unfamiliar systems.
  • Plug-and-play interoperability: Because MCP is an open standard, marketers can connect their AI to other enterprise tools too—orchestrating end-to-end workflows across the stack.

Your AI assistant becomes more than a helper. It becomes the control hub for marketing operations.

For developers and partners: Building at a higher plane

The agent API makes it easier to innovate and build AI-powered extensions:

  • Work at the business layer: Think “create a page,” not “call five endpoints.” Developers no longer need deep Sitecore expertise to build applications—reducing onboarding time and accelerating development.
  • Enterprise-ready by design: The agent API supports OAuth2 authentication, structured logging, and distributed tracing, making it highly secure and scalable.
  • Rollback functionality: Even the smartest AI can make mistakes. The agent API includes built-in rollback capabilities so developers can provide users with a simple “Undo” option. That means any automated action, from a content update to a page change, can instantly be reverted. Developers can deliver a solution that gives users true peace of mind.

With Sitecore’s APIs already wrapped into business-ready actions, developers spend less time on infrastructure work and more time creating value.

Building within Sitecore Studio makes this even simpler. Paired with other tools in Studio, such as the Blok design system and the Marketplace SDK, the agent API allows developers to create agentic experiences that look and feel native to SitecoreAI. Teams can build fast, keep visual consistency, and integrate directly into the platform’s interface.

Under the hood: How do marketer MCP and agent API work?

Marketer MCP and the agent API expose a breadth of capabilities across Sitecore’s marketing stack—covering sites, pages, content, components, assets, experiments, and personalization.

The agent API abstracts multiple low-level endpoints into business-level actions such as create_page, add_component_on_page, or create_personalization_version. Instead of stitching together several API calls, developers work with commands that map to outcomes. This design also empowers developers to build AI-powered experiences faster. By exposing intuitive, goal-based endpoints, large language models can understand and act on Sitecore commands directly—reducing complexity and enabling rapid innovation.

The marketer MCP acts as the translator between natural language and these tools. Using the open Model Context Protocol (MCP), it tells AI assistants which tools are available, what inputs they need, and how to invoke them securely. That means when a marketer types “create a landing page in French with an A/B test,” the assistant knows exactly which agent API calls to make.

Everything runs with enterprise-grade safeguards; OAuth-based authentication, tenant-aware access, structured logging, and telemetry for monitoring at scale. Best of all, MCP is included with your Sitecore purchase at no extra cost. There’s no separate license, and the only charge is for the underlying API calls your workflow executes.

Marketing without the middle work

With marketer MCP and the agent API, marketers and developers can cut out repetitive steps and focus on the work that matters. Complex tasks become natural prompts. Developers can design powerful agentic workflows. Marketers can connect Sitecore, and their wider ecosystem of tools, to their AI assistant for seamless automation.

It’s marketing that runs with less friction, fewer handoffs, and more time for strategy.

Ready to try a new way of working?