filesystem_sandbox
A safe MCP server for sandboxed filesystem operations (list, move, create directories, delete files) via pure Python, designed for Claude Desktop.
README
MCP Filesystem Sandbox
A simple, safe, Python MCP server that exposes filesystem operations (list files, move files, create directories, delete files) inside a single sandboxed directory.
The server is designed for learning and personal use with Claude Desktop via the Model Context Protocol (MCP).
Features
- Relative-path sandboxing (no access outside the allowed directory)
- No shell execution (pure Python filesystem APIs)
- Safe file-only deletion (directories cannot be deleted)
- Minimal, explicit tool surface
- Designed for use with Claude Desktop via MCP
Sandbox directory
This server operates inside one sandbox directory.
You must provide the sandbox path as the first argument when starting the server:
uv run server.py /absolute/path/to/sandbox
All filesystem operations are restricted to this directory. Paths passed to tools are always relative to the sandbox root.
Use "." to refer to the sandbox root itself.
Running the server
From the project directory:
uv run server.py /absolute/path/to/sandbox
The server will start and wait for MCP tool calls over stdio. No output is expected while it is running.
Using with Claude Desktop (MCP)
Example MCP configuration:
{
"mcpServers": {
"filesystem_sandbox": {
"command": "uv",
"args": [
"--directory",
"/path/to/project",
"run",
"server.py",
"/absolute/path/to/sandbox"
]
}
}
}
After updating the configuration, restart Claude Desktop.
Note: Depending on your system, you may need to use the full
path to the uv executable (for example /Users/you/.local/bin/uv)
instead of uv in the MCP configuration.
Safety notes
- All paths are resolved relative to the sandbox directory
- Absolute paths and directory traversal (
..) are blocked - Directories cannot be deleted
- No shell commands are executed
This server is intended for safe experimentation and learning.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。