Connects MCP servers to Microsoft Semantic Kernel, enabling LLMs to seamlessly call external tools.
Sponsored
Integrates Model Context Protocol (MCP) tools with Microsoft Semantic Kernel to build AI-driven workflows. This C# project connects MCP servers to Semantic Kernel, enabling LLMs to call external tools seamlessly. Features example code for developers exploring AI orchestration with .NET, providing a reusable and extensible framework for interacting with diverse data sources and tools through a standardized protocol.
Key Features
01Enables LLMs to dynamically call functions based on user prompts.
02Converts MCP tools into Semantic Kernel functions.
03Connects to MCP servers to retrieve available tools.
040 GitHub stars
05Provides sample code for integrating MCP with Semantic Kernel in .NET.
06Supports OpenAI and other LLM providers compatible with Semantic Kernel.
Use Cases
01Extending Semantic Kernel with external capabilities via MCP servers.
02Promoting interoperability between AI models and non-Semantic Kernel applications.
03Simplifying development with a standardized protocol for tool integration.
