Mcp With Semantic Kernel
Connects MCP servers to Microsoft Semantic Kernel, enabling LLMs to seamlessly call external tools.
About
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
- Enables LLMs to dynamically call functions based on user prompts.
- Converts MCP tools into Semantic Kernel functions.
- Connects to MCP servers to retrieve available tools.
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- Provides sample code for integrating MCP with Semantic Kernel in .NET.
- Supports OpenAI and other LLM providers compatible with Semantic Kernel.
Use Cases
- Extending Semantic Kernel with external capabilities via MCP servers.
- Promoting interoperability between AI models and non-Semantic Kernel applications.
- Simplifying development with a standardized protocol for tool integration.
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