How to Use the Composio Smart Home MCP in LangChain

Chain Composio Smart Home actions directly into your LangChain pipelines to automate device control and logic.

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Connect Composio Smart Home MCP to LangChain

Create your Vinkius account to connect Composio Smart Home to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Composio Smart Home with LangChain

Ask AI about this MCP

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Claude

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Sequence devices in LangChain

You chain smart home commands by passing the output of `execute_composio_tool` directly into subsequent logic blocks. This lets you build reasoning agents that adjust thermostat settings based on sensor data retrieved in the previous step. Your agents decide the execution order dynamically. By linking these tools, you create complex automation chains that trigger multiple hardware responses without manual intervention.

Query device schemas as LangChain tools

Use `get_composio_tool_schema` to pull exact parameter requirements into your chain definitions. This ensures your agent structures its JSON arguments correctly before sending commands to your connected devices. Developers get full visibility into parameter types through this method. It stops the agent from guessing inputs and forces it to follow the exact API structure required by the hardware.

Manage Composio Smart Home integrations

Call `list_connected_accounts` to see exactly which hubs and gadgets your agent can talk to right now. This keeps your chain aware of what hardware is actually online before it tries to fire a command. Keep your logic clean by filtering available hardware before the agent starts its work. It prevents runtime errors by checking the connection status of your smart home environment first.

Setup guide

Set up Composio Smart Home MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Composio Smart Home tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "composio-smart-home-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Composio Smart Home transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Composio Smart Home MCP in LangChain

Install the necessary adapters and initialize the server using the provided HTTP transport URL. Once connected, fetch the tool list and inject them into your agent's toolset to start chaining commands.

Yes, you use the agent's reasoning capabilities to decide which tool to call based on intermediate results. It turns your smart home into a reactive system that responds to changing conditions.

You should use the client session feature to maintain state across interactions. This allows your agent to remember previous device states and adjust its future commands accordingly.

It integrates directly into your graph nodes as a standard tool. You can define specific edges that trigger smart home actions based on the output of your nodes.

Your device credentials and API keys stay within the managed sandbox environment. The MCP protocol ensures that only authorized tokens pass between your agent and the hardware.

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