The ULTIMATE Guide to Building Your Own MCP Servers (Free Template)

Video Description

Everyone is starting to realize how big of a deal Anthropic's Model Context Protocol (MCP) is - it’s the first ever “standard” for connecting LLMs with services like your database, Slack, GitHub, web search, etc. There are a LOT of MCP servers available to us already, but the true power comes from building our own so our agents can do exactly what we want them to do. In this video, I cover the full process for building your own MCP servers with Python, including how to use AI to make it a breeze! After this guide, not only will you be able to build MCP servers to connect your agents to anything, you’ll be able to take my template (linked below) for yourself and use it to build any server easily. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The waitlist is now OPEN for Dynamous AI Mastery - an exclusive community for early AI adopters like you to master AI & AI Agents and transform your career and business: https://dynamous.ai ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ MCP Server Template (Mem0 MCP): https://github.com/coleam00/mcp-mem0 MCP Python SDK: https://github.com/modelcontextprotocol/python-sdk Official MCP Documentation: https://modelcontextprotocol.io/introduction MCP Servers GitHub: https://github.com/modelcontextprotocol/servers ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 00:00 - Leverage the True Power of MCP 01:05 - Resources for Building an MCP Server 02:20 - The What and Why of Building MCP Servers 05:00 - Demo of the Mem0 MCP Server (Template for You) 07:22 - Introducing the Python MCP Server Template 10:53 - Basics of an MCP Server 13:11 - Using AI Coding Assistants to Build MCP Servers 15:36 - MCP Server Template Deep Dive (Code Walkthrough) 21:02 - Demystifying the MCP Transport Options 24:10 - Running Our Mem0 MCP Server 25:49 - Demo of Our Mem0 MCP Server 27:23 - Outro ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Join me as I push the limits of what is possible with AI. I'll be uploading videos at least two times a week - Sundays and Wednesdays at 7:00 PM CDT!