Mcp With Semantic Kernel
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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.
- 0 GitHub stars
- 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.