@Zelaron
基本情報
MCP server enabling AI assistants to execute terminal commands through a secure shell interface
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": {
"Pandoras-Shell": {
"command": "python3",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Execute any shell command and return its output
An MCP server that empowers AI assistants to execute terminal commands on your system with full access. It is compatible with any AI assistant supporting the Model Context Protocol, with setup instructions tailored for Claude Desktop.
Install prerequisites (Python 3.10+, Git, uv), clone the repository, create a virtual environment, install dependencies, and then configure the claude_desktop_config.json file with the correct paths to the executor script. After restarting Claude Desktop, the server appears in the Installed MCP Servers list.
pwd to determine the current working directoryNo. This server grants AI assistants unrestricted ability to execute terminal commands with your user privileges. **Only use in controlled environments like virtual machines (VMs) or development systems you can afford to rebuild. Never use on production systems or machines with sensitive data.**
Python 3.10 or higher, Git, and `uv` for package management. Claude Desktop with an active Claude Pro/Enterprise subscription is used for the configuration example.
Create or edit `claude_desktop_config.json` in the correct configuration directory (e.g., `%APPDATA%\Claude\` on Windows or `~/Library/Application Support/Claude/` on macOS). Set the `command` to the Python interpreter inside your virtual environment and `args` to the executor script path, with `PYTHONPATH` set to the `src` directory.
Restart Claude Desktop completely, then click the 🔌 icon to check if "pandoras-shell" appears in the Installed MCP Servers list. If not, inspect the MCP logs (e.g., `%APPDATA%\Claude\Logs\mcp*.log` on Windows).
The server sets a 5-minute timeout for command execution. If the timeout is reached, the command is terminated and error handling is applied.
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