Stop Sharing API Keys with LLMs - Use Docker MCP Catalog Instead! ๐ค๐ก
What if AI agents didnโt need hard-coded integrations, scattered API keys within the source code, or manual server setup anymore? ๐ค
What if adding real tools to your AI was as simple as clicking a few buttons โ and the same tools worked across Claude, Cursor, VS Code, and your own Python apps?
In this hands-on tutorial, we explore Dockerโs new MCP Toolkit & Catalog and why it quietly changes how AI tools are built, shared, and reused across apps. They took the raw MCP protocol and turned it into a practical, unified gateway that works for both AI users and AI developers.
By the end of this โฆ
Watch on YouTube โ
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Chapters (5)
Why Docker MCP changes everything
2:03
What MCP actually is (in plain English)
2:27
Docker MCP Toolkit & Catalog overview
3:07
Connecting Claude, Cursor, and VS Code
4:09
Local vs Remote MCP servers (key
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