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Learn to build a SharePoint MCP (Model Context Protocol) server integrated with Microsoft Graph API and create a LlamaIndex-powered bot with dual user interfaces. This comprehensive tutorial demonstrates the complete architecture for connecting SharePoint data to AI applications, featuring both a command-line interface and a Streamlit web application. Explore the technical implementation of environment bootstrapping with Graph credentials and OpenAI keys, MCP server deployment as a Python subprocess, and the integration of MemoryMCPClient with BasicMCPClient for enhanced functionality. Master the configuration of LlamaIndex FunctionAgent to schedule MCP tool calls and synthesize natural language responses, while understanding how to expose SharePoint data through MCP tools supported by Microsoft Graph. Discover the dual interface approach with llamaindex_bot.py for terminal-based workflows and streamlit_app.py for web-based chat experiences, both utilizing the mcp-sharepoint package for seamless SharePoint integration.
