LangGraph

Build LangGraph agents that use your Norbix backend as a tool.

LangGraph agents use the same MCP adapter as LangChain. Load the Norbix tools once, then hand them to your graph.

Install

pip install langchain-mcp-adapters langgraph "langchain[anthropic]"

A minimal agent

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent

client = MultiServerMCPClient(
    {
        "norbix": {
            "transport": "stdio",
            "command": "npx",
            "args": ["-y", "@norbix.ai/mcp"],
            "env": {
                "NORBIX_API_KEY": "your-api-key",
                "NORBIX_HUB_URL": "https://hub.norbix.ai",
                "NORBIX_PROJECT_ID": "your-project-id",
            },
        }
    }
)

tools = await client.get_tools()
agent = create_react_agent("anthropic:claude-sonnet-4-5", tools)

result = await agent.ainvoke(
    {"messages": "How many documents are in the orders collection?"}
)

Long-running graphs

For hosted graphs, prefer the remote MCP mode (transport: "streamable_http", url: "https://your-host/mcp") so workers don't each spawn a local process, and pass per-user API keys with the Authorization header.

Norbix's event system pairs well with LangGraph: use Triggers and Server Events to start or resume graphs when data changes.