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How to Run AI Dev Tools (Cursor & Claude Code) Safely in a Cloud Sandbox

The AI Developer's Choice, and a Shared Problem

The era of AI-native development has brought us exciting choices.

  • If you're an IDE enthusiast, you might choose Cursor to enjoy a seamless, "in-the-flow" experience with its deeply integrated AI.
  • If you're a terminal purist, you might prefer Claude Code, using scripts to leverage the power of AI to its fullest extent in the command line.

But no matter which path you take, you'll encounter the same unavoidable problem: When the AI suggests executing a file operation or a shell command, where should it run?

Running it locally means accepting environment pollution and potential security risks. And setting up a complex local environment just for an AI tool defeats the whole purpose of AI-powered efficiency.

The real solution is to decouple the choice of "front-end tool" from the "back-end execution environment." And AgentSphere was born to be that universal, secure "cloud execution backend."

A Unified Architecture: The "Portal" for All Tools

Whether you use Cursor or Claude Code, you can build a "portal" to an AgentSphere cloud sandbox using AgentSphere MCP (Model Context Protocol) Server.

With a single configuration, you can empower all your AI developer tools:

{
  "mcpServers": {
    "agentsphere": {
      "command": "uvx",
      "args": ["agentsphere-mcp-server"],
      "env": {
        "AGENTSPHERE_API_KEY": "your_api_key"
      }
    }
  }
}
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For more information about how to configure AgentSphere MCP Server, see Documentation.

Once configured, your AI developer tools gain the ability to execute tasks safely in the cloud. Let's see how this works in two different workflows.

Scenario 1: The Cursor User's "Visual Cloud Development"

As a Cursor user, imagine you want the LLM to build a simple web application without ever leaving your IDE.

  1. Give the Command: In Cursor's chat window, you instruct the selected LLM, making sure to specify AgentSphere MCP Server as the execution tool.

  2. Cloud Execution: The LLM in Cursor breaks this task into a series of shell commands and sends them via the MCP Server to an AgentSphere sandbox to be executed.

  3. Get the Result: After the LLM successfully starts the server in the sandbox, it calls the get_preview_link tool and returns a live, accessible URL to you.

Cursor App

Open this preview link in your browser and check out the application you want to build.

An example of the web application you want to build with AgentSphere sandbox

Scenario 2: The Claude Code User's "Command-Line Automation"

As a terminal enthusiast, imagine you want to accomplish the same task with a single shell command.

  1. Give the Command: In your claude code terminal, you pipe a clear instruction to claude-code.

  2. Cloud Execution: The Claude Code CLI, just like the agent in Cursor, will break down the task and execute the exact same commands in an AgentSphere sandbox via the MCP Server.

  3. Get the Result: Finally, your terminal will print the logs of all execution steps, along with the live, accessible URL returned by the get_preview_link tool.

Claude Code CLI shows the execution logs and preview link returned from the AgentSphere sandbox

Different Paths, Same Destination: Why This is a Revolutionary Paradigm

Comparing these two scenarios reveals a profound commonality:

Regardless of your chosen human-computer interface (IDE vs. CLI), the back-end code execution environment is the same—a clean, secure, and reproducible AgentSphere sandbox.

This provides enormous advantages:

  1. Tool Freedom: You can freely switch and combine your favorite AI developer tools without worrying about back-end inconsistencies.

  2. Absolute Security: All AI operations are strictly confined within a cloud sandbox, keeping your local machine pristine and secure.

  3. Consistent Results: The same task, issued through any tool, will produce a consistent, reproducible result in the same standardized environment.

Conclusion: AgentSphere, the Universal Execution Layer for AI Dev Tools

AgentSphere's role is not to replace Cursor or Claude Code, but to empower them. We provide a stable, secure, and universal "execution layer" for this exciting and diverse ecosystem of AI developer tools.

We believe the future of development is about choosing the interface that best suits your flow and connecting it to a powerful, reliable "cloud brain" and "execution hands."

Ready to equip your favorite AI developer tool with a solid, secure foundation?

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