A side-by-side look at the SMB Sandbox and LLM Sandbox MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose SMB Sandbox for code execution work as a local process; choose LLM Sandbox for code execution. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
S
Choose SMB Sandbox when
You need dedicated capabilities in the Code Execution domain.
No tool names declared yet. Check the project README from the listing page.
LLM Sandbox tools 3
execute_code
get_supported_languages
get_language_details
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
No confirmed install command for LLM Sandbox yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
SMB Sandbox is categorized under Code Execution and uses a local stdio subprocess. LLM Sandbox belongs to Code Execution and uses an install path we have not confirmed yet. Pick SMB Sandbox for code execution work and LLM Sandbox for code execution.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client. LLM Sandbox has no confirmed install command yet — follow its own setup instructions.
SMB Sandbox has no declared pricing — check the project's own site. LLM Sandbox has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add smb-sandbox and llm-sandbox as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, SMB Sandbox has a quality signal of 33/100 (Emerging) with 0 views, 0 installs and 0 GitHub stars. LLM Sandbox has 53/100 (Good) with 3 views, 0 installs and 1,130 GitHub stars.