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Why this server?
Enables AI assistants to safely run Python code and access websites, processing data for better AI understanding, which relates to safely experimenting within a sandboxed environment.
Why this server?
A secure MCP server for executing whitelisted shell commands with resource and timeout controls, crucial for safely running commands in a controlled 'sandbox' environment.
Why this server?
A secure server that enables AI applications to execute shell commands in specified directories, offering a sandboxed environment for running potentially risky commands.
Why this server?
Provides a secure, isolated JavaScript execution environment with configurable time and memory limits for safely running code, similar to a 'sandbox' environment.
Why this server?
A secure MCP server for Windows Subsystem for Linux environments, facilitating safe command execution, implying a sandboxed execution environment.
Why this server?
Allows LLMs to execute Python code in a specified Conda environment, enabling access to necessary libraries and dependencies, providing a 'sandboxed' or controlled environment.
Why this server?
Provides browser automation capabilities, enabling LLMs to interact with web pages in a real browser environment which can be useful in a testing sandbox environment.
Why this server?
Enables AI to control web browsers through a Model Context Protocol, allowing for navigation, interaction, and managing browser state in a controlled environment.
Why this server?
MCP server allowing any and all command execution over CMD