Uploaded May 2026 | Updated September 2026, 2 weeks ago

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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: realpython.com/courses/connecting-llms-data-python-mcp-servers

And the original text tutorial is here: realpython.com/python-mcp

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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