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Learn to build a conversational chatbot using Streamlit, Azure OpenAI, and Model Context Protocol (MCP) SSE servers in this comprehensive 49-minute tutorial. Develop a full-stack AI integration platform that connects to Neo4j graph databases, HubSpot CRM systems, and Yahoo Finance data through MCP servers, all deployed in Docker containers to simulate a real distributed environment. Master the implementation of four integrated components: a secure Streamlit client with enterprise authentication, a Yahoo Finance MCP server for financial data analysis with technical indicators, a Neo4j MCP server for graph database operations via Cypher queries, and a HubSpot MCP server with full CRM integration featuring 25+ tools and CRUD operations. Explore enterprise-grade authentication, security protocols, and seamless analytics across database, CRM, and financial data infrastructure while working with the Model Context Protocol SSE transport layer for efficient communication between distributed services.
