Integrate Semantic Kernel with MCP Servers

Semantic Kernel MCP integration provides a collection of eight Python example files related to Model Context Protocol (MCP) integration. The examples include files named agent_with_http_mcp_plugin.py, agent_with_mcp_agent.py, agent_with_mcp_plugin.py, agent_with_mcp_sampling.py, azure_ai_agent_with_local_server.py, azure_ai_agent_with_mcp_plugin.py, local_agent_with_local_server.py, and mcp_as_plugin.py.

Use this integration when you are working with Semantic Kernel and Model Context Protocol and want to examine example implementations. The file names suggest patterns involving agents, plugins, local servers, Azure AI agents, HTTP connections, and sampling.

Do not use this if you are working with a different AI framework outside the Semantic Kernel ecosystem, as these examples are specifically designed for Semantic Kernel's agent architecture. Avoid this if you need production-ready libraries rather than sample code demonstrating integration patterns.

The source material lists eight example files without detailed descriptions of their inputs and outputs.

This integration is for Python developers working with Semantic Kernel and Model Context Protocol who want to examine example implementations. The eight example files suggest different patterns and architectural approaches.