MCP Server is a workflow designed to simplify and automate the creation of Docker images for various architectures and platforms.

What are the main benefits of using MCP Server?

The primary benefits include automated Docker image building, cross-architecture support, seamless integration with CI/CD pipelines, and simplified deployment of AI agents.

How does MCP Server integrate with UBOS?

MCP Server complements UBOS by providing a streamlined way to containerize AI agents for deployment on various platforms. This simplifies the deployment process and improves portability.

What if my Docker image size is larger than 5GB?

For Docker images larger than 5GB, the project suggests addressing network issues directly, as the current workflows may not be suitable due to size constraints.

Where can I find more information about the usage of MCP Server?

Detailed usage instructions and documentation can be found at [https://wkdaily.cpolar.top/archives/gc](https://wkdaily.cpolar.top/archives/gc).

What is the difference between the Release and Artifact workflows?

The Release workflow is recommended for Docker images smaller than 2GB, while the Artifact workflow is suitable for images between 2GB and 5GB.

Where can I find information about Docker images

You can find detailed information about docker images by clicking this link: [https://docker.fxxk.dedyn.io/](https://docker.fxxk.dedyn.io/)

Docker Tar Builder – README

这是什么？

操作步骤 | 简介
它是一个工作流。可快速构建指定架构/平台的单个或多个docker镜像并存储在Artifact文件或Release文件

使用说明

https://wkdaily.cpolar.top/archives/gc

如果你的docker镜像小于2GB 你可以使用红色框框这三种Release工作流
如果你的docker镜像大于2GB且小于5GB 你可以使用蓝色框框的这三种Artifact工作流
如果你的docker镜像大于5GB 比如 vllm/vllm-openai:v0.6.4.post1 抱歉了只能自己解决网络问题直接pull了本项目爱莫能助啦！