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DockaShell MCP Server

@anzax

リポジトリ

基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

anzax

投稿者

anzax

DockaShell MCP Server について

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.

#agent#docker#mcp#model-context-protocol#vibe-coding#coding-agent

DockaShell MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

DockaShell MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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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