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LangChain

Sandbox Env MCP for LangChain

io.github.hs3434/sandbox-env-mcp

Persistent Docker/SSH sandbox for AI agents: shell exec, file ops, audit log.

client:LangChain transport:stdio runtime:pypi

Install Sandbox Env MCP in LangChain

pip install langchain-mcp-adapters

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "sandbox-env-mcp": {
            "transport": "stdio",
            "command": "uvx",
            "args": ["sandbox-env-mcp"],
        }
})

tools = await client.get_tools()

get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs

Sandbox Env MCP in other clients