Packaging & Deploying AI Tools with Model Context Protocol
summary
Shows how Docker’s MCP toolkit and MCP catalog (200+ tools) let a developer turn a Model Context Protocol server into a reproducible Docker image, push it to Docker Hub, and run the same MCP server locally or by pulling the image — demo builds, tests, creates Dockerfile, tags and pushes an “infom” MCP server image and it responds via Cursor. Also adds a Gordon AI Dockerfile review and a tiny time-conversion MCP server, all working end-to-end.
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chapters (17)
- 0:00Introduction to Docker MCP and AI Tools
- 2:21Exploring TypeScript, Docker, and MCP
- 4:05Understanding MCP Communication for AI
- 4:55Join us for GitNation Conferences
- 5:29Understanding MCP Communication for AI
- 6:23Exploring Docker MCP Toolkit and Catalog
- 9:22Managing Docker Hub and MCP Client Connection
- 10:44Connecting MCP Server and Client in Cursor
- 12:04Configuring and Activating MCP Servers in Cursor
- 14:10Adding and Utilizing Time MCP Server
- 16:47Creating and Showcasing MCP Docker Repository
- 19:03Creating and Deploying Servers with Docker
- 20:20Packaging and Deploying MCP Servers with Docker
- 23:44Tagging and Deploying Docker Images for MCP
- 26:42Utilizing Docker Server Locally and with Docker
- 29:07Exploring Docker Images and AI Enhancement
- 30:52Introducing Gordon AI Tool and GitHub Sharing
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