What security measures does Container-MCP use?
It uses container isolation via Podman/Docker, AppArmor profiles, Firejail sandboxing, resource limits (CPU, memory, execution time), path traversal prevention, and allowed extension restrictions.
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基本信息
A podman ubuntu 24.04 container that serves a MCP server; with file, code execution, bash shell, knowledgebase, and more.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"container-mcp": {
"content": "This is the content of the web page...",
"url": "https://example.com/page",
"title": "Example Page",
"success": true,
"error": null
}
}
}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。
点击上方按钮,直接连接服务器端点实时获取工具列表。
Container-MCP is a secure, container-based implementation of the Model Context Protocol (MCP) that provides a sandboxed environment for executing code, running commands, accessing files, and performing web operations on behalf of large language models. It exposes these capabilities as standardized tools that AI systems can discover and call.
Configure the server via environment variables and run it in development or production mode. Tools are discovered and called by AI systems using the MCP protocol. No explicit installation or invocation commands are documented in the README.
It uses container isolation via Podman/Docker, AppArmor profiles, Firejail sandboxing, resource limits (CPU, memory, execution time), path traversal prevention, and allowed extension restrictions.
Managers include BashManager, PythonManager, FileManager, WebManager, KnowledgeBaseManager, ListManager, MarketManager (Yahoo Finance), and RssManager.
Yes, `web_browse` requires Playwright browser binaries. Outside the container, install them with `python -m playwright install chromium` (or `playwright install`).
Documents use a structured URI format (`kb://namespace/collection[/subcollection]*/name`) and support RDF-style relationships, preferences, references, and metadata management.
Yes, extensive configuration via environment variables is supported, including custom environment and switching between development and production modes.
Put the project you are working on online. Deploys the current folder or a GitHub repo to a live HTTPS URL on Dockhold; reads status and logs, sets variables, resizes apps and databases...

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