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This is a preview of the video course, "Connecting LLMs to Your Data With Python MCP Servers". 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.
This is a portion of the complete course, which you can find here:
The rest of the course covers:
- Exercise: Implement an MCP Tool
- Setting Up an MCP Client
- Interacting With the MCP Server
- Exposing Resources
- Exercise: Expose an MCP Resource
- Using Prompts
- Connecting LLMs to Your Data With Python MCP Servers (Quiz)
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2026/05/28
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