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Home Assistant MCP Server for LangChain 15 tools — connect in under 2 minutes

Built by Vinkius GDPR 15 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Home Assistant through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "home-assistant": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Home Assistant, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Home Assistant
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Home Assistant MCP Server

Connect to your Home Assistant instance (local or Nabu Casa cloud) and control your entire smart home from any AI agent. Manage lights, climate, media players, covers, switches, and trigger automations via the Home Assistant REST API.

LangChain's ecosystem of 500+ components combines seamlessly with Home Assistant through native MCP adapters. Connect 15 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Entity Discovery — List all entities and their current states across all integrations
  • Device Control — Turn lights on/off, adjust brightness, set thermostat temperatures, open/close covers
  • Service Calls — Call any Home Assistant service (light, switch, climate, cover, media_player, automation, script)
  • State Monitoring — Get real-time state of any entity including sensors, binary sensors, and device trackers
  • History & Logbook — Query historical state changes and logbook entries for analysis
  • Calendar Management — List and query calendar events from Home Assistant calendars
  • Event Automation — Fire custom events to trigger Home Assistant automations
  • Template Rendering — Render Jinja2 templates for advanced state access
  • Configuration — View system configuration, loaded components, and validate configuration
  • Local or Cloud — Works with local instances (http://IP:8123) or Nabu Casa cloud (https://INSTANCE.ui.nabu.casa)

The Home Assistant MCP Server exposes 15 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Home Assistant to LangChain via MCP

Follow these steps to integrate the Home Assistant MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 15 tools from Home Assistant via MCP

Why Use LangChain with the Home Assistant MCP Server

LangChain provides unique advantages when paired with Home Assistant through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents — combine Home Assistant MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Home Assistant queries for multi-turn workflows

Home Assistant + LangChain Use Cases

Practical scenarios where LangChain combined with the Home Assistant MCP Server delivers measurable value.

01

RAG with live data: combine Home Assistant tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Home Assistant, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Home Assistant tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Home Assistant tool call, measure latency, and optimize your agent's performance

Home Assistant MCP Tools for LangChain (15)

These 15 tools become available when you connect Home Assistant to LangChain via MCP:

01

call_ha_service

This is the primary way to control devices in Home Assistant. COMMON SERVICE CALLS: - light.turn_on: entity_id, brightness (0-255), color_temp, rgb_color - light.turn_off: entity_id - switch.turn_on: entity_id - switch.turn_off: entity_id - climate.set_temperature: entity_id, temperature - climate.set_hvac_mode: entity_id, hvac_mode (heat, cool, auto, off) - cover.open_cover: entity_id - cover.close_cover: entity_id - media_player.turn_on: entity_id - media_player.turn_off: entity_id - media_player.media_play: entity_id - automation.trigger: entity_id - script.turn_on: entity_id DOMAINS: light, switch, climate, cover, fan, lock, media_player, automation, script, scene, input_boolean, input_number, notify PARAMETERS: - domain (REQUIRED): Domain name (e.g. light, switch, climate) - service (REQUIRED): Service name (e.g. turn_on, turn_off, set_temperature) - service_data (OPTIONAL): JSON object with service parameters including entity_id EXAMPLES: - "Turn on living room light" → domain="light", service="turn_on", service_data={"entity_id":"light.living_room"} - "Set bedroom temperature to 20" → domain="climate", service="set_temperature", service_data={"entity_id":"climate.bedroom","temperature":20} Call a Home Assistant service on a domain

02

check_ha_configuration

Check Home Assistant configuration validity

03

fire_ha_event

The event type must match automation triggers configured in Home Assistant. Fire a custom event in Home Assistant

04

get_api_status

Use this as a connectivity test before making other API calls. Check if the Home Assistant API is running

05

get_calendar_events

Get events from a Home Assistant calendar

06

get_entity_history

Useful for analyzing trends and past behavior. Get historical state data for an entity

07

get_entity_state

Use entity IDs from list_entity_states (e.g., light.living_room, climate.bedroom, sensor.temperature). Get the current state of a specific entity

08

get_ha_config

Get the Home Assistant configuration details

09

get_logbook_entries

Can be filtered by entity and time range. Get Home Assistant logbook entries

10

list_available_services

g., light: turn_on, turn_off, toggle; climate: set_temperature, set_hvac_mode). Essential for discovering what actions can be performed. List all available services across all domains

11

list_entity_states

Each entity includes entity_id, state, last_changed timestamp, and attributes. Essential for discovering available devices. List all entity states in Home Assistant

12

list_ha_calendars

List all calendars configured in Home Assistant

13

list_ha_components

List all loaded components/integrations in Home Assistant

14

list_ha_events

Useful for understanding what events Home Assistant is tracking. List all event types currently registered in Home Assistant

15

render_ha_template

Useful for accessing HA template functions and state from the API. Render a Jinja2 template in Home Assistant

Example Prompts for Home Assistant in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Home Assistant immediately.

01

"List all my smart home entities and show me the lights."

02

"Turn on the living room light and set it to 50% brightness."

03

"What is the current temperature in the bedroom and what mode is the thermostat?"

Troubleshooting Home Assistant MCP Server with LangChain

Common issues when connecting Home Assistant to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Home Assistant + LangChain FAQ

Common questions about integrating Home Assistant MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Home Assistant to LangChain

Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.