Securely run LLM-generated code in isolated containers across 7 languages and 3 container backends.
Securely run LLM-generated code in isolated containers across 7 languages and 3 container backends.
LLM Sandbox · v0.3.43 (latest)
by Vndee
84
Local configuration
Package values and arguments.
Sign in to configure stored values and credentials for this server.
Step 2: Install
Run this MCP server locally
Run this MCP server locally and expose it via stdio so your MCP client can connect.
Run via PyPI
llm-sandbox@0.3.43Run command
uvx llm-sandbox==0.3.43Step 3: Connect
Connect in your MCP client
After you're running this MCP server locally, connect it to your MCP client using the configuration examples below.
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