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DockaShell MCP Server

@anzax

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

anzax

提交者

anzax

关于 DockaShell MCP Server

DockaShell is an MCP server that gives AI agents isolated Docker containers to work in. MCP tools for shell access, file operations, and full audit trail.

DockaShell MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "dockashell": {
      "command": "dockashell",
      "args": [
        "serve"
      ]
    }
  }
}

DockaShell MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is DockaShell?

DockaShell is an MCP (Model Context Protocol) server that gives AI agents isolated Docker containers to work in. Each agent gets its own persistent environment with shell access, file operations, and full audit trails.

How to use DockaShell?

Install globally with npm install -g dockashell, then run dockashell build, dockashell create my-project, and dockashell start my-project. Add the server to your MCP client configuration using command dockashell with args ["serve"]. Requires Node.js 20+ and Docker running.

Key features of DockaShell

  • Shell-based workflows instead of specialized tools
  • Container isolation for host system safety
  • Persistent workspace surviving across sessions
  • Complete audit trail for every command
  • Self-evolving agents building their own tools
  • Autonomous exploration without constant approval

Use cases of DockaShell

  • Data analysis with Python environment and CSV processing
  • Web development building React apps with live preview
  • Research assistant with persistent SQLite databases
  • Meta-learning by analyzing previous traces to improve

常见问题

1

What problems does DockaShell solve?

It addresses no persistent memory, tool babysitting, limited toolsets, and lack of self-reflection in current AI assistants.

2

How does it ensure security?

Each agent runs in an isolated Docker container, giving full autonomy inside with zero risk to the host system.

3

What are the requirements?

Node.js 20+ and a running Docker engine.

4

Can agents persist data across sessions?

Yes, each container uses a persistent volume so files, databases, and context survive between sessions.

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