Connecting LLMs to Your Data With Python MCP Servers
The article discusses a new video course focused on the Model Context Protocol (MCP) for connecting AI models to external data systems. It covers the installation of MCP, its client-server architecture, and practical applications such as building a Python MCP server. The course includes hands-on exercises and resources to facilitate learning and integration with AI agents.
- ▪The Model Context Protocol (MCP) is an open protocol for AI models to interact with external systems.
- ▪The course includes 13 lessons covering MCP basics, server setup, and tool implementation.
- ▪Participants will gain hands-on experience by building a simple MCP server that interacts with a simulated e-commerce database.
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Connecting LLMs to Your Data With Python MCP Servers Rodrigo Girão Serrão 13 Lessons 54m May 26, 2026 intermediate ai Start Now Add Bookmark Rate and Review Share The Model Context Protocol (MCP) is a new open protocol that allows AI models to interact with external systems in a standardized, extensible way. In this video course, you’ll install MCP, explore its client-server architecture, and work with its core concepts: prompts, resources, and tools. You’ll then build and test a Python MCP server that queries e-commerce data and integrate it with an AI agent in Cursor to see real tool calls in action.
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