The LLM Sandbox MCP server provides a secure runtime for executing LLM-generated Python code. It offers a lightweight, portable sandbox environment with code interpretation capabilities. The server connects to Python libraries and frameworks, allowing developers to safely test and run code generated by language models. Ideal for developers building AI agents that require secure code execution and testing.
The LLM Sandbox MCP server provides a secure runtime for executing LLM-generated Python code. It offers a lightweight, portable sandbox environment with code interpretation capabilities. The server connects to Python libraries and frameworks, allowing developers to safely test and run code generated by language models. Ideal for developers building AI agents that require secure code execution and testing.
pip install llm-sandboxAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"vndee-llm-sandbox-github": {
"command": "uvx",
"args": [
"pip install llm-sandbox"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from llm sandbox?"
No configuration required. This server works out of the box.
"What resources are available in llm sandbox?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in llm sandbox"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in llm sandbox with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.