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Agentic AI & MCP for MarTech: Answers

Answers on agentic AI for Adobe MarTech: MCP, agents, safe automation, human-in-the-loop, evaluation, cost and enterprise use cases.

Quick answer

Using AI agents and the Model Context Protocol safely with enterprise MarTech. This page gives 8 short answers, each linked to the official Adobe documentation it is based on, so you can verify and go deeper.

What is MCP?

The Model Context Protocol (MCP) is an open standard for connecting AI applications to tools and data through servers that expose capabilities in a consistent way.

Sources: Model Context Protocol

What is an AI agent?

An AI agent uses a language model to plan steps and call tools to reach a goal, as opposed to a single prompt and reply. Agents need guardrails, logging and review.

Sources: Model Context Protocol

How can agents help with Adobe Experience Platform?

They can draft schema or query suggestions, summarise monitoring output and prepare documentation by calling approved APIs, with a person reviewing changes before production.

Sources: Adobe Experience Platform APIs Model Context Protocol

What are the risks of connecting AI to customer data?

Risks include leaking personal data, prompt injection from untrusted content, over-broad permissions and unreviewed changes. Apply least privilege, read-only defaults, logging and human approval.

Sources: Data usage labels glossary Model Context Protocol

How do I keep API keys out of the frontend?

Call models from a server or workflow tool, keep keys in environment variables or a secret manager, and never commit them to Git or ship them to the browser.

Sources: Adobe Experience Platform APIs

What is human-in-the-loop?

A design where an agent proposes and a person approves before an irreversible action, such as publishing, sending or deleting.

Sources: Model Context Protocol

How do I evaluate an AI workflow?

Define success cases and failure cases, test with realistic samples, record outputs, and measure accuracy, cost and latency before expanding scope.

Sources: Model Context Protocol

What does the Academy teach about Agentic AI?

The AI Engineering Bootcamp covers LLM fundamentals, tool use, MCP and workflows with MarTech scenarios. See the programme page for the syllabus and fee on request.

Source: Infinite360 Tech Academy programme information.

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Answers are AI-assisted summaries of Adobe's public documentation and the instructors' practice, written for learning. Product behaviour changes, so confirm details in the linked official page before relying on them.

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