Uploaded May 2025 | Updated September 2026, 3 days ago

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Discover the power of Model Context Protocol (MCP) for AI-assisted software engineering! This video explores how MCP enhances Large Language Models and AI agents by providing crucial context. Learn about two essential MCP servers: Memory and Context7. See how they improve AI's ability to understand project specifics, retain information, and access up-to-date documentation. Witness practical demonstrations using Cursor, and learn how to integrate MCP servers into your workflow. Elevate your AI-assisted coding experience with MCP!

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Sponsor: Stacklok Toolhive
🔗 github.com/stacklok/toolhive
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#AIForDevelopers, #ModelContextProtocol, #LLMEnhancements

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▬▬▬▬▬▬ 🔗 Additional Info 🔗 ▬▬▬▬▬▬
➡ Transcript and commands: https://devopstoolkit.live/ai/the-missing-link-how-mcp-servers-supercharge-your-ai-coding-assistant
🔗 Model Context Protocol: github.com/modelcontextprotocol
🎬 Outdated AI Responses? Context7 Solves LLMs' Biggest Flaw: youtu.be/DeZ-gw_aop0

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If you are interested in sponsoring this channel, please visit https://devopstoolkit.live/sponsor for more information. Alternatively, feel free to contact me over Twitter or LinkedIn (see below).

▬▬▬▬▬▬ 👋 Contact me 👋 ▬▬▬▬▬▬
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▬▬▬▬▬▬ ⏱ Timecodes ⏱ ▬▬▬▬▬▬
00:00 MCP Intro
00:50 What is Model Context Protocol (MCP)?
06:53 Memory and Context7 MCP Servers
07:49 Stacklok Toolhive (sponsor)
09:04 Memory and Context7 MCP Servers (cont.)