Posts

Building an Event-Driven Webhook Pipeline in SitecoreAI - An Architectural Deep Dive

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SitecoreAI Webhooks Azure Functions Azure Service Bus Event-Driven Architecture Every publish event is a signal. Here's how to build the infrastructure that actually listens. Here's a scenario most Sitecore teams have lived through. A content editor publishes an article, then walks over to a developer and says "the page hasn't updated yet." The developer checks the CDN — cached. Purges it manually. Five minutes later, another editor. Same story. The root cause isn't the CDN. It's that nothing in the system is listening for the publish event and reacting to it in real time. Content goes from the CM to Experience Edge, and then silence. Downstream systems — the Next.js frontend, the Sitecore Search index, the Content Hub asset record — have no idea something changed. SitecoreAI (the platform formerly known as XM Cloud, now part of the broader Sitecore AI product family) ships wit...
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From Data to Decisions: AI-Powered Reporting in Sitecore Content Hub

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Introduction In our Sitecore Content Hub implementation, the initial focus was on content onboarding, workflows, and integrations. However, once the platform became operational, stakeholders began asking: How many assets are being uploaded over time? Where are workflow delays occurring? Which teams are actively contributing? 👉 The data existed—but deriving insights required manual effort. The Problem Manual data exports from Content Hub Processing in spreadsheets Static reporting This approach was: Time-consuming Error-prone Not scalable Objective Automate data extraction Structure data for reporting Enable dashboards Reduce manual effort Architecture Overview Below is the architecture we implemented: End-to-End Flow 1. Data Source M.Asset → Assets M.Content / M.State → Workflow Audit Logs → User activity ...
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From Prompt to Production: Agentic Sitecore Workflows with MCP

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Two practical paths: Option A (Marketer MCP, no code) and Option B (Community MCP server, extensible). We’ll go from a natural‑language prompt to a published landing page. Previously on the blog This article continues my earlier post, MCP‑Powered AI Development Workflow in Sitecore XM Cloud — a quick conceptual primer. Why MCP (in one paragraph) MCP → Safe, typed tools Model Context Protocol (MCP) turns natural language into governed, typed tool calls. In Sitecore, Marketer MCP exposes tools like create page , add component , and upload asset that map to the Agent API so agents can take real actions with guardrails and auditing. The agentic workflow: how it works When you chat with Claude (which is already connected to your Marketer MCP), Claude acts as an AI agent — it calls the Sitecore APIs on your behalf, fetches IDs, makes decisions, and creates items without you needing to open Sitecore at all. Architecture Overview Prer...
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MCP‑Powered AI Development Workflow in Sitecore XM Cloud

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Artificial Intelligence is transforming how digital experiences are built, managed, and optimized. With the arrival of SitecoreAI , Sitecore has introduced a new AI‑first architecture that seamlessly connects content, data, personalization, and automation. As part of this evolution, one technology stands out for developers and architects: MCP — Model Context Protocol . MCP is not just another API layer. It represents a safe, structured, and extensible bridge between AI agents and enterprise systems like Sitecore XM Cloud , enabling AI to collaborate with human developers in meaningful, controlled ways. In this article, we explore what MCP is, why it matters, and how it enables a groundbreaking AI‑powered development workflow in XM Cloud. What is MCP (Model Context Protocol)? MCP is an open protocol designed to expose context , models , and safe actions to AI systems in a governed and controlled way. According to Sitecore’s architectural guidance, MCP acts as an integration fabric b...
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Blog Summary - 2025

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2025 Technical Articles Collection — Sitecore, Cloud & Modern DXPs This is a consolidated index of every blog I published in 2025, showcasing detailed guides, troubleshooting approaches, and architectural solutions across Sitecore XM Cloud, Content Hub, Azure, and Next.js. A convenient one-stop place to explore my most valuable contributions this year. Sitecore CMP + DAM: The Upstream Content Factory for Structured, Governed, and Predictable JSON Delivery Published On: Nov 24, 2025 In modern omnichannel architectures, content is no longer created for a single website. It must travel to mobile apps, digital screens, e-commerce engines, CRM systems, chatbots, and more. Read Full Post → Sitecore XM Cloud + Sitecore AI: A Practical Guide to All the New Features Published On: Nov 19, 2025 Sitecore has re...
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