What is the key difference between LLM Sandbox and Runno?

LLM Sandbox belongs to the Code Execution category with local stdio execution, while Runno belongs to the Code Execution category with local stdio execution.

How do I install LLM Sandbox or Runno 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 Runno free or paid?

LLM Sandbox operates under a Free / Open Source model (No auth required). Runno operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

LLM Sandbox lists 3 tools with 0 views and 1,119 GitHub stars. Runno lists 0 tools with 0 views and 772 GitHub stars.

Can I use both LLM Sandbox and Runno 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 Runno

In-depth architectural comparison of the LLM Sandbox and Runno 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

Runno

Code Execution · Local stdio

Quality: 43/100 (Fair) | Auth: No auth required

Verdict Summary: Choose LLM Sandbox if you need specialized Code Execution tools running via a local process. Choose Runno if your workspace requires Code Execution integration with local subprocess execution. 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 Runno 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).

Explore Runno Details

Feature & Specification Comparison

Specification	L LLM Sandbox Code Execution	R Runno Code Execution
Summary	Securely run LLM-generated code in isolated containers across 7 languages and 4 backends.	MCP Server for the Runno Sandbox
Category & Scope	Code Execution	Code Execution
Quality signal

Tools & Capabilities Breakdown

LLM Sandbox Tools (3)

execute_code

get_supported_languages

get_language_details

Runno Tools (0)

No explicit tool names declared in metadata yet. Check project README on main listing page.

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"
      ]
    }
  }
}

Runno Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "runno": {
      "command": "npx",
      "args": [
        "@runno/mcp"
      ]
    }
  }
}

Frequently Asked Questions

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

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