Docker Just Fixed 90% of AI Coding By Releasing This

Uploaded: 2025-12-02
This video discusses the evolution of the MCP protocol in AI, highlighting the challenges it has faced as usage has grown, particularly with many users having numerous MCP servers and tools.

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Description: The video explains Docker’s new dynamic MCP gateway and code-mode approach to prevent context bloat, reduce token usage, and enable secure, efficient AI agent workflows. It demonstrates the MCP catalog, dynamic tool selection, sandboxed JavaScript tools, and a GitHub-to-Notion example that preserves state without flooding the model.

MCP catalog & trust: Docker lists verified MCP servers and centralizes connections to avoid untrusted endpoints.
Dynamic tool selection: Agents load only the tools needed per session, keeping context windows small.
Code mode & persistence: Agents generate sandboxed JS tools that call MCPs and save intermediate data to volumes, improving performance and security.

Quotes:

Now, people literally have hundreds of MCP servers with thousands of tools at a time.

The model doesn’t get flooded with 5 GB of data.

Agents can write sandboxed code-mode tools that call other MCP tools and preserve state.

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Upload date:2025-12-02
Likes:2429
Comments:103
Fan Rate:2.23%
Statistics updated:2026-01-01

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Docker Just Fixed 90% of AI Coding By Releasing This
Docker Just Fixed 90% of AI Coding By Releasing This