What is the key difference between Parselbox and LLM Sandbox?

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

How do I install Parselbox or LLM Sandbox 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 Parselbox and LLM Sandbox free or paid?

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

Which MCP server has more tools and community activity?

Parselbox lists 0 tools with 0 views and 4 GitHub stars. LLM Sandbox lists 3 tools with 0 views and 1,119 GitHub stars.

Can I use both Parselbox and LLM Sandbox 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

Parselbox vs LLM Sandbox

In-depth architectural comparison of the Parselbox and LLM Sandbox 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

Parselbox

Code Execution · Local stdio

Quality: 41/100 (Fair) | Auth: No auth required

LLM Sandbox

Code Execution · Local stdio

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

Verdict Summary: Choose Parselbox if you need specialized Code Execution tools running via a local process. Choose LLM Sandbox 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 Parselbox 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 Parselbox Details

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

Feature & Specification Comparison

Specification	P Parselbox Code Execution	L LLM Sandbox Code Execution
Summary	Secure Python sandbox — MCP servers, APIs, shells and host functions as native Python objects.	Securely run LLM-generated code in isolated containers across 7 languages and 4 backends.
Category & Scope	Code Execution	Code Execution
Quality signal

Tools & Capabilities Breakdown

Parselbox Tools (0)

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

LLM Sandbox Tools (3)

execute_code

get_supported_languages

get_language_details

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).

Parselbox Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "parselbox": {
      "command": "uvx",
      "args": [
        "parselbox"
      ]
    }
  }
}

LLM Sandbox Configuration

mcpServers (Claude Desktop / Cursor)

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

Frequently Asked Questions

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

More alternatives to Parselbox More alternatives to LLM Sandbox Code Execution category hub Canonical compare URL

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