Semantic Kernel, an open-source SDK developed by Microsoft, facilitates the integration of AI models and large language models (LLMs) into applications for building AI agents and advanced generative AI solutions. It serves as middleware, offering connectors to various AI services and supporting both semantic and native function execution. Available in C#, Python, and Java, Semantic Kernel is designed for tasks such as text generation and chat completions, while also connecting to external data sources. The SDK's extensibility is enhanced through ModelContextProtocol (MCP) integration, particularly with Bright Data's Web MCP, allowing AI agents to surpass static knowledge limitations by accessing live web data. This integration enables the creation of dynamic AI agents capable of retrieving real-time information from the internet, thereby providing more accurate and relevant insights. The tutorial demonstrates these capabilities by detailing the construction of a Reddit analyzer AI agent using Semantic Kernel and Bright Data's Web MCP, showcasing how it retrieves and processes data from Reddit posts in real-time, despite inherent challenges like anti-bot protections.