Lilith Shell MCP Server

@charles-adedotun

Basic information

About Lilith Shell MCP Server

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

Lilith Shell MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Lilith Shell MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

More Developer Tools MCP servers

Final POS – Custom POS Builder

Final Commerce

Build custom POS apps with your AI agent. Final's MCP server lets developers scaffold checkout flows, adapt vetted screen blueprints for counter POS, self-checkout kiosks, restaurant ordering and payment terminals, previ

FARPY

mangomunchr

Verified distributed compute for humans, applications, and agents. Submit Blender, Octane, and video workloads, route them across qualified GPUs, track asynchronous execution, download finished artifacts, and verify FARP

Kaiva Bridge

Kaiva Bridge turns your API, database or documents into a managed MCP server for Claude, ChatGPT, Cursor and VS Code. Point it at an OpenAPI or Swagger spec, an API docs link, a cURL command, a Postman collection, a Grap

offprompt

MCP server that lets Claude Code, Cursor or Codex ask you for API keys on a local page and write them to .env. The agent only ever sees key names.

Moxie Docs

Jackalope-Dev

Automated codebase documentation for GitHub: searchable docs, MCP context for AI agents, doc drift detection, and Friday Cleanup PRs.