Building Semantic Kernel Agents with Model Context Protocol (MCP) Plugins in Python
Effective AI systems require more than just conversational abilities—they need the capacity to perform actions and access external resources. This guide explores the integration of Microsoft's Semantic Kernel (SK) with the Model Context Protocol (MCP) to develop capable AI agents that interact with external systems. By combining SK's orchestration framework with MCP's standardized interface, developers can create versatile AI applications that leverage both internal and external tools. This approach is valuable for building enterprise-grade solutions, from personal productivity assistants that manage schedules to business applications that interface with company APIs. This guide will walk you through the implementation process step by step.