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AgenticRail Gate - sequence enforcement and verifiable audit receipts for AI agent compliance for LangChain

nz.agenticrail/gate

Deterministic runtime enforcement of step order for AI agents: ALLOW/DENY before a step runs.

client:LangChain transport:streamable-http tools:2

Install AgenticRail Gate - sequence enforcement and verifiable audit receipts for AI agent compliance in LangChain

pip install langchain-mcp-adapters

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "gate": {
            "transport": "streamable_http",
            "url": "https://mcp.agenticrail.nz/",
        }
})

tools = await client.get_tools()

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

What LangChain can do once it is connected

AgenticRail Gate - sequence enforcement and verifiable audit receipts for AI agent compliance in other clients