Lilith Shell MCP Server

@charles-adedotun

代码仓库

基本信息

分类

开发工具

许可证

MIT

传输方式

stdio

作者

charles-adedotun

关于 Lilith Shell MCP Server

An MCP (Model Context Protocol) server that enables AI assistants to execute terminal commands securely.

Lilith Shell 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": {
    "Lilith-Shell": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Lilith Shell 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 Lilith Shell?

Lilith Shell is an experimental MCP server that exposes local shell command execution to an AI assistant. It is a prototype intended for development and testing, not for production use.

How to use Lilith Shell?

Install from source using pip install -e ".[dev]" after cloning the repository, then run the MCP server in your AI assistant client. The server registers one tool, execute_command, which accepts a command string and an optional directory string (defaults to ~).

Key features of Lilith Shell

Exposes one MCP tool: execute_command
Executes commands via subprocess.run(..., shell=True)
Returns exit code, stdout, and stderr
Fixed five-minute timeout per command
Accepts an optional working directory

Use cases of Lilith Shell

Experimenting with MCP server development
Testing local command execution with an AI assistant
Prototyping security models for shell access

常见问题

What security controls does Lilith Shell have?

The current implementation has no command allowlist, no denylist, no environment filtering, no output sanitization, and no audit log. It uses `shell=True` with untrusted tool input.

Can Lilith Shell be used in production?

No. The README warns against running it on any host, account, or directory containing credentials, production data, private source code, SSH keys, or cloud tokens. It is strictly a prototype.

What platforms does Lilith Shell support?

The README does not specify supported platforms beyond general Python execution. No Windows-specific execution path is implemented.

How do I install and run tests?

Use `pip install -e ".[dev]"` to install in development mode, then run `pytest` to execute tests.

What was de-scoped from the original plan?

Capabilities like command allowlisting, dangerous command detection, configurable modes, output sanitization, audit logging, working-directory confinement, cross-platform shell selection, and streaming output are not present in the current code.

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