I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

Pandorás
Servidor MCP que permite a los asistentes de IA ejecutar comandos de terminal a través de una interfaz de shell segura
3 years
Works with Finder
1
Github Watches
3
Github Forks
11
Github Stars
Pandora's Shell
⚠️ IMPORTANT SECURITY WARNING: This MCP server grants AI assistants unrestricted ability to execute terminal commands on your system. Only use in controlled environments like virtual machines (VMs) or development systems you can afford to rebuild.
About
An MCP server that empowers AI assistants to execute terminal commands on your system. Due to the unrestricted access this provides, it's crucial to use this software responsibly and be fully aware of the security risks involved.
Note: This server is compatible with any AI assistant that supports the Model Context Protocol (MCP). The provided configuration and setup instructions are specifically tailored for Claude Desktop, which offers comprehensive support for all MCP features.
Features
- Execute any shell command with full system access
- Capture command output (stdout/stderr)
- Set working directory
- Handle command timeouts
API
Tools
-
execute_command
- Execute any shell command and return its output
-
Inputs:
-
command
(string): Command to execute -
directory
(string, optional): Working directory
-
-
Returns:
- Command exit code
- Standard output
- Standard error
-
Features:
- 5-minute timeout
- Working directory support
- Error handling
Installation
Prerequisites
-
Claude Desktop with an active Claude Pro/Enterprise subscription
- Download from: Claude AI
- Python 3.10 or higher
- Git
- uv (required for package management)
Windows Installation
-
Install Prerequisites:
Option A - Using winget (if available on your system):
winget install python git
Option B - Manual installation (recommended):
- Download and install Python from python.org
- Download and install Git from git-scm.com
-
Install uv:
Open Command Prompt (
cmd.exe
) as administrator and run:powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
If you encounter any issues, you may need to restart your terminal or computer for the changes to take effect.
-
Clone and set up the project:
git clone https://github.com/Zelaron/Pandoras-Shell.git cd Pandoras-Shell
Then create a virtual environment. Try these commands in order until one works:
python -m venv venv
If that doesn't work, try:
python3 -m venv venv
Then activate the environment:
venv\Scripts\activate
-
Install dependencies:
uv pip install mcp pip install -e .
Note: If you installed Python from python.org, you'll typically use python
. If you installed via winget or from the Microsoft Store, you might need to use python3
. Try both commands if one doesn't work.
macOS Installation
-
Install Prerequisites:
brew install python git uv
-
Clone and set up the project:
git clone https://github.com/Zelaron/Pandoras-Shell.git cd Pandoras-Shell python3 -m venv venv source venv/bin/activate
-
Install dependencies:
uv pip install mcp pip install -e .
Configuration
Windows
Locate the correct configuration directory - try these paths in order:
-
%APPDATA%\Claude\
(typicallyC:\Users\[YourUsername]\AppData\Roaming\Claude\
) -
%LOCALAPPDATA%\AnthropicClaude\
(typicallyC:\Users\[YourUsername]\AppData\Local\AnthropicClaude\
)
Create or edit claude_desktop_config.json
in the correct directory:
{
"mcpServers": {
"pandoras-shell": {
"command": "C:/path/to/cloned/Pandoras-Shell/venv/Scripts/python.exe",
"args": [
"C:/path/to/cloned/Pandoras-Shell/src/pandoras_shell/executor.py"
],
"env": {
"PYTHONPATH": "C:/path/to/cloned/Pandoras-Shell/src"
}
}
}
}
Important Notes for Windows:
- Use forward slashes (
/
) in paths, not backslashes (\
) - Replace
[YourUsername]
with your actual Windows username - File must be named exactly
claude_desktop_config.json
- If both possible config locations exist, try each until successful
macOS
Create or edit ~/Library/Application Support/Claude/claude_desktop_config.json
:
{
"mcpServers": {
"pandoras-shell": {
"command": "/path/to/cloned/Pandoras-Shell/venv/bin/python",
"args": [
"/path/to/cloned/Pandoras-Shell/src/pandoras_shell/executor.py"
],
"env": {
"PYTHONPATH": "/path/to/cloned/Pandoras-Shell/src"
}
}
}
}
Important Notes for macOS:
- Replace
[YourUsername]
with your actual username - You can use
$HOME
instead of/Users/[YourUsername]
if preferred - File must be named exactly
claude_desktop_config.json
- The
command
path should point to the Python interpreter inside your virtual environment (venv/bin/python
), not the system Python
After Configuration
- Restart Claude Desktop completely (quit/exit, not just close the window).
- Click the 🔌 icon to verify the server appears in the "Installed MCP Servers" list.
- If the server doesn't appear, check Claude's logs:
-
Windows:
%APPDATA%\Claude\Logs\mcp*.log
or%LOCALAPPDATA%\AnthropicClaude\Logs\mcp*.log
-
macOS:
~/Library/Logs/Claude/mcp*.log
-
Windows:
Security Considerations
This server executes commands with your user privileges. Take these precautions:
- Use only in VMs or disposable development environments.
- Never use on production systems or machines with sensitive data.
- Consider implementing command restrictions if needed.
- Monitor system access and activity.
- Keep backups of important data.
Disclaimer: The developers are not responsible for any damages or losses resulting from the use of this software. Use it at your own risk.
Troubleshooting
If you encounter issues:
-
Check logs:
-
Windows:
%APPDATA%\Claude\Logs\mcp*.log
or%LOCALAPPDATA%\AnthropicClaude\Logs\mcp*.log
-
macOS:
~/Library/Logs/Claude/mcp*.log
-
Windows:
-
Verify installation:
- Ensure
uv
is properly installed and in your PATH. - Check that
mcp
package is installed:pip show mcp
. - Verify Python version is 3.10 or higher.
- Ensure
-
Configuration issues:
- Double-check all paths in
claude_desktop_config.json
. - Verify JSON syntax is valid.
- Ensure proper path separators for your OS.
- Confirm config file is in the correct location.
- Double-check all paths in
-
Environment issues:
- Make sure
virtualenv
is activated if using one. - Verify
PYTHONPATH
is set correctly. - Check file permissions.
- Make sure
-
Test server manually:
# First, make sure you're in the Pandoras-Shell directory: cd /path/to/cloned/Pandoras-Shell # For macOS: ./venv/bin/python src/pandoras_shell/executor.py # For Windows: .\venv\Scripts\python.exe src\pandoras_shell\executor.py # The executor will appear to hang with no output - this is normal. # It's waiting for connections from Claude Desktop. # Use Ctrl+C to stop it.
-
Connection issues:
- If you get "Could not connect to MCP server" errors, ensure you're using the virtual environment's Python interpreter in your config file.
- For macOS: Use
/path/to/cloned/Pandoras-Shell/venv/bin/python
- For Windows: Use
C:/path/to/cloned/Pandoras-Shell/venv/Scripts/python.exe
Testing
After setup, try these commands in Claude Desktop:
Can you run 'pwd' and tell me what directory we're in?
or
Can you list the files in my home directory? Which of them are larger than 200 MB?
相关推荐
Evaluator for marketplace product descriptions, checks for relevancy and keyword stuffing.
Confidential guide on numerology and astrology, based of GG33 Public information
Professional Flask/SQLAlchemy code guide. Follow: https://x.com/navid_re
A geek-themed horoscope generator blending Bitcoin prices, tech jargon, and astrological whimsy.
Converts Figma frames into front-end code for various mobile frameworks.
Descubra la colección más completa y actualizada de servidores MCP en el mercado. Este repositorio sirve como un centro centralizado, que ofrece un extenso catálogo de servidores MCP de código abierto y propietarios, completos con características, enlaces de documentación y colaboradores.
Manipulación basada en Micrypthon I2C del expansor GPIO de la serie MCP, derivada de AdaFruit_MCP230xx
Una puerta de enlace de API unificada para integrar múltiples API de explorador de blockchain similar a Esterscan con soporte de protocolo de contexto modelo (MCP) para asistentes de IA.
Espejo dehttps: //github.com/agentience/practices_mcp_server
Espejo de https: //github.com/bitrefill/bitrefill-mcp-server
Reviews

user_g2rNWa3v
Redis by modelcontextprotocol is a reliable and high-performing in-memory data structure store. It supports diverse data types and provides exceptional speed for caching and real-time analytics. The easy-to-navigate interface and robust documentation make it accessible for developers of all levels. Highly recommended for scalable application development.