MCP Semantic Kernel Integration

Example Use Cases

• 1

  Extend Semantic Kernel with external capabilities via MCP servers.

• 2

  Dynamically call functions based on user prompts using LLMs.

• 3

  Standardized interoperability between AI models and external tools or data sources.

Description

This repository demonstrates how to integrate Model Context Protocol (MCP) tools with Microsoft Semantic Kernel, allowing AI models to seamlessly call external tools and services. It includes a local .NET MCP server with multiple example tools and supports external MCP servers like GitHub and Everything via Node.js. The integration promotes interoperability, dynamic function calling by LLMs, and simplifies building AI-driven workflows with real-world applications.