Code Sandbox

by chrishayuk

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GitHub

About

Provides secure, isolated Python code execution environments with modular architecture for running untrusted code, testing solutions, generating visualizations, and performing file operations through multiple backend options including E2B and Firecracker microVMs.

Details

Author: chrishayuk
Repository: chrishayuk/mcp-code-sandbox
GitHub stars: 5
Categories: Developer Tools, AI, Design, File Management, Security, Infrastructure, Frontend, Database

- Create isolated sandbox environments for code execution
- Execute Python code securely
- Perform file operations (listing, reading, writing)
- Install Python packages in the sandbox
- Extensible architecture with abstracted code interpreter interface
- Modular design with clean separation of concerns

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below
Plugin Name Code Sandbox

Command (node, npx, python, etc.) python
Arguments
- Argument 1 /ABSOLUTE/PATH/TO/main.py
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

JSON

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

From the repository

You can run the server directly from the command line:

python main.py

This will start the server using the stdio transport, making it compatible with Claude for Desktop.

`create_sandbox`

Create a new sandbox environment.

`close_sandbox`

Close and clean up a sandbox.

`get_sandbox_status`

Check status of sandboxes.

`execute_code`

Run Python code in a sandbox.

`install_package`

Install a Python package.

`create_run_close`

All-in-one tool that creates a sandbox, runs code, and cleans up.

`list_files`

List files in the sandbox.

`read_file`

Read the contents of a file.

`write_file`

Write content to a file.

`upload_file`

Upload a file to the sandbox.

The server provides the following tools:

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "code sandbox": {
            "env": {},
            "args": [
                "/ABSOLUTE/PATH/TO/main.py"
            ],
            "command": "python"
        }
    }
}

Linux

{
    "env": [],
    "args": [
        "/ABSOLUTE/PATH/TO/main.py"
    ],
    "command": "python"
}

Macos

{
    "env": [],
    "args": [
        "/ABSOLUTE/PATH/TO/main.py"
    ],
    "command": "python"
}

Windows

{
    "env": [],
    "args": [
        "/ABSOLUTE/PATH/TO/main.py"
    ],
    "command": "python"
}

MCP Code Sandbox Server

An extensible Message Communication Protocol (MCP) server that provides secure code execution capabilities in isolated sandbox environments. This server follows the MCP standard, making it compatible with Claude for Desktop and other MCP clients.

Features

Architecture

The server is built with a modular, extensible architecture:

Core Components

- Abstract Interpreter Interface: Allows different code execution backends to be integrated
- Sandbox Administration: Tools for creating and managing sandbox environments
- Code Execution: Tools for running code and installing packages
- File Operations: Tools for managing files within sandboxes

Project Structure

├── src/
│   └── sandbox/
│       ├── __pycache__/
│       ├── e2b/
│       │   ├── __pycache__/
│       │   ├── __init__.py
│       │   ├── e2b_file_interface.py
│       │   └── e2b_interpreter.py
│       ├── __init__.py
│       ├── code_interpreter.py
│       ├── file_interface.py
│       └── interpreter_factory.py
├── tools/
│   ├── __pycache__/
│   ├── __init__.py
│   ├── code_execution_tools.py
│   ├── file_tools.py
│   └── sandbox_tools.py
├── main.py
├── .env
├── .gitignore
├── .python-version
├── pyproject.toml
├── README.md
└── uv.lock

Prerequisites

- Python 3.10 or higher
- E2B API key (for the default E2B interpreter)

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/mcp-code-sandbox.git

   cd mcp-code-sandbox

2. Set up a virtual environment:

   # Using venv

   python -m venv venv

   source venv/bin/activate  # On Windows: venv\Scripts\activate

   

   # Or using uv (recommended)

   uv init

   uv venv

   source .venv/bin/activate  # On Windows: .venv\Scripts\activate

3. Install the required packages:

   # Using pip

   pip install fastmcp python-dotenv e2b-code-interpreter

   

   # Or using uv

   uv add fastmcp python-dotenv e2b-code-interpreter

4. Configure environment variables:

   # Create a .env file with the following variables

   E2B_API_KEY=your_e2b_api_key_here

   INTERPRETER_TYPE=e2b  # Default, can be changed to other implemented interpreters

Usage

Running the Server Standalone

You can run the server directly from the command line:

python main.py

This will start the server using the stdio transport, making it compatible with Claude for Desktop.

Using with Claude for Desktop

1. Make sure you have the latest version of Claude for Desktop installed

2. Open your Claude for Desktop configuration file:
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
- Windows: %APPDATA%\Claude\claude_desktop_config.json

3. Add your code sandbox server configuration:

   {

     "mcpServers": {

       "code-sandbox": {

         "command": "python",

         "args": [

           "/ABSOLUTE/PATH/TO/main.py"

         ]

       }

     }

   }

Or if you're using uv:

   {

     "mcpServers": {

       "code-sandbox": {

         "command": "uv",

         "args": [

           "--directory",

           "/ABSOLUTE/PATH/TO/PROJECT_DIRECTORY",

           "run",

           "main.py"

         ]

       }

     }

   }

4. Save the file and restart Claude for Desktop

Available Tools

The server provides the following tools:

Sandbox Administration

- create_sandbox: Create a new sandbox environment - close_sandbox: Close and clean up a sandbox - get_sandbox_status: Check status of sandboxes

Code Execution

- execute_code: Run Python code in a sandbox - install_package: Install a Python package - create_run_close: All-in-one tool that creates a sandbox, runs code, and cleans up

File Operations

- list_files: List files in the sandbox - read_file: Read the contents of a file - write_file: Write content to a file - upload_file: Upload a file to the sandbox

Extending with New Interpreters

The system is designed to be extensible. To add a new code interpreter:

1. Create a new directory under src/sandbox/ for your interpreter implementation
2. Implement the interfaces defined in src/sandbox/code_interpreter.py and src/sandbox/file_interface.py
3. Add the new interpreter type to the src/sandbox/interpreter_factory.py
4. Configure the environment variable INTERPRETER_TYPE to your new interpreter

Example of implementing a new interpreter:

```python

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About

Details

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Setting up with Highlight

From the repository

create_sandbox

close_sandbox

get_sandbox_status

execute_code

install_package

create_run_close

list_files

read_file

write_file

upload_file

Claude Desktop / Cursor

Linux

Macos

Windows

MCP Code Sandbox Server

Features

Architecture

Core Components

Project Structure

Prerequisites

Installation

Usage

Running the Server Standalone

Using with Claude for Desktop

Available Tools

Sandbox Administration

Code Execution

File Operations

Extending with New Interpreters

Install

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Context 7

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`create_sandbox`

`close_sandbox`

`get_sandbox_status`

`execute_code`

`install_package`

`create_run_close`

`list_files`

`read_file`

`write_file`

`upload_file`