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Introduction: In the world of AI-powered applications, it’s easy to assume that exposing your existing APIs to an LLM magically turns them into a Model Context Protocol (MCP) server. After all, both provide endpoints and functions, right? If you’ve been…
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Introduction: The Model Context Protocol (MCP) represents a standardized approach for AI systems to interact with external data sources and services. In enterprise environments, where AI applications need to access organizational data from various sources like Microsoft Graph, SharePoint, or…
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Introduction: In my earlier post, I explained how to build your first MCP server using .NET and connect it to VS Code. Now, let’s take it a step further by converting an ASP.NET Core Web API into an MCP server…
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Introduction: In my previous article, Understanding MCP – Model Context Protocol, I introduced the basics of MCP and why it is becoming an essential part of the AI developer ecosystem. In this article, we will see how to build a…
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Introduction MCP is an open protocol that allows applications to send context to large language models (LLMs). You can think of MCP as a USB-C port for AI. Just like USB-C gives a standard way to connect your phone or…
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Introduction Azure Key Vault is a cloud service provided by Microsoft to store securely and access secrets, including API keys, passwords, certificates, and cryptographic keys. It plays a critical role in maintaining application security and managing sensitive information in Azure.…
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Introduction: In this article, I’ll walk you through how I built a fully integrated AI-powered knowledge agent that lives inside Microsoft Teams. This intelligent agent allows users to ask natural language questions directly within Teams and instantly receive summarized answers…
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Introduction: As organizations increasingly rely on multi-cloud strategies, the ability to move data seamlessly between cloud platforms becomes essential. An everyday use case is transferring data from Google BigQuery, a fully-managed, serverless data warehouse on Google Cloud, to Azure SQL…