What is the key difference between LLM Sandbox and SandboxAPI?

LLM Sandbox belongs to the Code Execution category with local stdio execution, while SandboxAPI belongs to the Code Execution category with cloud HTTP/SSE execution.

How do I install LLM Sandbox or SandboxAPI in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are LLM Sandbox and SandboxAPI free or paid?

LLM Sandbox operates under a Free / Open Source model (No auth required). SandboxAPI operates under a BYOK (Pay Provider Direct) model (API Key required).

Which MCP server has more tools and community activity?

LLM Sandbox lists 3 tools with 2 views and 1,123 GitHub stars. SandboxAPI lists 3 tools with 3 views and 2 GitHub stars.

Can I use both LLM Sandbox and SandboxAPI together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

LLM Sandbox vs SandboxAPI

In-depth architectural comparison of the LLM Sandbox and SandboxAPI MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

LLM Sandbox

Code Execution · Local stdio

Quality: 59/100 (Good) | Auth: No auth required

SandboxAPI

Code Execution · Remote HTTP/SSE

Quality: 51/100 (Good) | Auth: API Key required

Verdict Summary: Choose LLM Sandbox if you need specialized Code Execution tools running via a local process. Choose SandboxAPI if your workspace requires Code Execution integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose LLM Sandbox when:

You need dedicated capabilities in the Code Execution domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: execute_code, get_supported_languages, get_language_details.

Explore LLM Sandbox Details

Choose SandboxAPI when:

You need dedicated capabilities in the Code Execution domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: SANDBOXAPI_API_KEY, MCP_API_KEY, MCP_PORT, SANDBOXAPI_URL.
Primary tools included: execute_code, execute_batch, list_languages.

Explore SandboxAPI Details

Feature & Specification Comparison

Specification	LLM Sandbox Code Execution	SandboxAPI Code Execution
Summary	Securely run LLM-generated code in isolated containers across 7 languages and 4 backends.	Execute code in 8 languages (Python, JS, TS, Go, Java, C++, C, Bash) in gVisor sandboxes.
Category & Scope	Code Execution	Code Execution
Quality signal

Tools & Capabilities Breakdown

LLM Sandbox Tools (3)

execute_code

get_supported_languages

get_language_details

SandboxAPI Tools (3)

execute_code

Execute code in a sandboxed container.

execute_batch

Execute multiple code snippets. Each runs in its own isolated sandbox.

list_languages

List all supported programming languages with versions and example code. No parameters.

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

LLM Sandbox Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "llm-sandbox": {
      "command": "uvx",
      "args": [
        "llm-sandbox"
      ]
    }
  }
}

SandboxAPI Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "sandboxapi": {
      "url": "https://mcp.sandboxapi.dev/mcp"
    }
  }
}

Frequently Asked Questions

LLM Sandbox is categorized under Code Execution and uses a local stdio subprocess. In contrast, SandboxAPI belongs to Code Execution using remote streaming HTTP/SSE transport. Select LLM Sandbox when you need capabilities focused on code execution and SandboxAPI when you require tools for code execution.

More alternatives to LLM Sandbox More alternatives to SandboxAPI Code Execution category hub