Zapier Smart Home MCP for AI. Control every device in your house with plain English.
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Zapier Smart Home connects your entire house to natural language commands. Use this MCP to control lights, adjust thermostats, lock doors, and manage cameras across 5000+ connected devices using simple English instructions.
What your AI can do
List climate actions
Lists every available action related to controlling temperature and climate.
Get zapier config link
Provides the link needed to expose new actions for your agent to control.
Execute zapier action
Runs a specific smart home action by ID using natural language instructions.
Your agent translates any plain English command into the necessary smart home actions.
You can retrieve a list of all smart home functions that are currently exposed for control.
The agent finds and executes actions to turn lights on or off, dim them, or change their color.
You can discover and execute commands for thermostats and other climate devices.
The agent runs specific actions related to alarms, cameras, and locking/unlocking doors.
You can list, preview, and trigger complex, multi-step automation routines (zaps).
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Zapier Smart Home: 12 Tools
Use these tools to manage everything from listing available functions to running complex security or climate routines across your entire smart home.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Zapier Smart Home on VinkiusList Climate Actions
Lists every available action related to controlling temperature and climate.
Get Zapier Config Link
Provides the link needed to expose new actions for your agent to control.
Execute Zapier Action
Runs a specific smart home action by ID using natural language instructions.
List Lighting Actions
Shows all available functions for controlling lights, including dimming and color...
List Ai Zaps
Shows all existing automation routines (zaps) that are enabled by AI in your Zapier...
List Exposed Actions
Retrieves a complete list of all smart home actions that are currently visible to the agent.
Send Natural Language Command
Processes any common house command and routes it to the correct device action automatically.
Preview Zapier Zap
Allows you to see how an automation workflow will run based on a natural language...
Search Zapier Actions
Finds matching smart home actions across 5000+ apps using specific search terms.
List Security Actions
Lists every function related to alarms, cameras, and physical locks.
List Smarthome Actions
Returns up to 50 matching actions across thousands of apps for home automation...
Trigger Ai Zap
Runs a specific, pre-defined AI automation routine (zap) immediately.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Zapier Smart Home integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Zapier Smart Home, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zapier Smart Home. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The Old Way: The Dashboard Nightmare
Today, managing your smart home means opening five different apps. You tap into the lighting app to dim the living room; then you switch over to the thermostat app to adjust the heat; next, you open the lock app just to check if everyone left the door secured. You're clicking through tabs and copy-pasting status checks across multiple brand interfaces.
With this MCP, that complexity vanishes. Your agent understands intent. Instead of opening a dozen apps, you simply tell your agent what you want done—like "Get ready for bed." The platform handles the sequence: dimming lights, setting temperature, and locking doors—all from one single conversational prompt.
Using `send_natural_language_command`
You don't need to know the specific API ID for turning on a light in the kitchen, or what action code controls the Nest thermostat. You just say, "Turn on the lights and raise the heat." The system does the translation work automatically.
It cuts out all the manual research and tedious setup. Your agent takes your intent and turns it into working device commands instantly.
What your AI can actually do with this
Tired of opening a dozen different apps just to turn down the heat or dim the living room lights? This MCP lets your agent talk to every device in your house. You send plain English commands—like, "It's getting dark; set the kitchen lights to 60% and lock the back door." The system handles translating that single request into dozens of specific actions across brands like Philips Hue, Nest, and Ring.
It’s not just about sending a simple command. You can ask your agent to search for available functions—for instance, asking what kind of camera controls are possible—or even preview complex routines before they run. The power comes from the fact that you can build automations that cross multiple platforms. Because this MCP runs on Vinkius, you never worry about where your credentials sit; they pass through a zero-trust proxy for every call, meaning your keys never live on a disk.
This lets your agent reliably coordinate everything—from climate adjustments to security checks—all from one spot.
019d7626-d1a9-71d8-a0c9-8b757956a55e 
Here's how it actually works
The bottom line is that you talk to your house like a person talks to a person, and it acts accordingly.
First, you connect your Zapier NLA API key to the MCP. This tells the system what devices and functions it can control.
Next, you simply give your agent a command in natural language—say, "Goodnight routine." The platform interprets this request against all available device capabilities.
Finally, the agent executes the necessary sequence of commands across the supported smart home brands to fulfill your single request.
Who is this actually for?
Property managers who are sick of dealing with multiple brand dashboards. Home automation enthusiasts who want reliable control over complex routines. Anyone needing hands-free device management.
Managing dozens of units means handling different brands and protocols. This MCP lets you run a unified 'all off' or 'arm system' routine without jumping between multiple service portals.
You want your house to feel intuitive, not like a poorly coded tech demo. You use natural language to trigger complex routines, like "I'm leaving now," which locks doors and turns off lights.
Relying on voice commands instead of complicated apps means you can control critical devices—like turning on a lamp or setting the temperature—with simple, direct speech.
What Changes When You Connect
Single-Point Control: Instead of using separate apps for lights, locks, and heat, one command handles everything. This means less jumping between interfaces and more time actually living in the home.
Action Discovery: If you don't know what a device can do, use list_smarthome_actions to search across thousands of integrations until you find the function you need.
Complex Routine Management: You aren't limited to simple on/off switches. By listing and running AI-enabled zaps (list_ai_zaps), you build multi-step routines like 'Good Morning,' which adjusts heat, turns on specific lights, and starts the coffee maker.
Safety First: Because this MCP executes inside its own V8 isolate sandbox with 34+ security rules enforced by Vinkius, running commands is safe. Your agent can't accidentally mess up system settings or access unauthorized data.
Proactive Automation: Use preview_zapier_zap to check if an automation will work before you trigger it for real. This stops the frustrating 'it didn't do anything' moment.
See it in action
The Late-Night Exit
A homeowner is tired of checking 10 different switches when leaving for work. They tell their agent, "I'm leaving now." The MCP automatically runs the 'Goodnight routine,' which uses list_security_actions to lock all doors and calls execute_zapier_action on every light to turn them off.
The Temperature Problem
It's too cold in the living room, but they aren't sure which device controls the zone. They ask their agent to search for actions using search_zapier_actions and get a list of climate options, finding exactly what they needed via list_climate_actions.
The Initial Setup
A property manager is setting up a new unit. They need to know the full scope of possibilities across all brands. Using list_exposed_actions gives them one master list, preventing them from having to check 10 separate vendor manuals.
The Custom Routine
Instead of manually setting up a complex 'Movie Night' routine, the agent drafts the steps and uses preview_zapier_zap first. Once confirmed, they trigger it with trigger_ai_zap, ensuring perfect timing for lights and ambiance.
The honest tradeoffs
Assuming a single command covers everything
Telling the agent, "Turn off all electronics." The system fails because 'electronics' isn't a recognized smart home category.
Instead, use specific listing tools. First, use list_lighting_actions to confirm light controls are available, then run targeted commands using send_natural_language_command for reliable results.
Manually chaining 5+ API calls
Writing code that manually checks the status of lights, then runs a security check, and finally adjusts climate in three separate functions.
Build an automation flow. Use list_smarthome_actions to gather all available tools, then use those capabilities within an AI-enabled Zapier routine (via trigger_ai_zap) to handle the entire sequence.
Forgetting to check device compatibility
Trying to set a color temperature on a device that only supports simple on/off states, causing an API error.
Always use search_zapier_actions first. This tool cross-references natural language input with the actual capabilities of the connected devices before you try to run anything.
When It Fits, When It Doesn't
Use this MCP if your problem involves coordinating multiple, distinct physical systems (e.g., lighting and climate and security). This is for cross-domain automation. Don't use it if your need is simple data retrieval—if you just need to check the current temperature reading and nothing else, a basic sensor API might be better. If you only want to manage one category of device (like just lights), consider using dedicated lighting APIs instead. However, because this MCP allows combining services into complex workflows, it's the best starting point for anyone building out a multi-system home.
Questions you might have
What smart home devices and apps are supported through Zapier NLA? +
Zapier NLA provides access to 5000+ app integrations including Philips Hue, LIFX, Nanoleaf (lighting), Nest, Ecobee, Honeywell (climate), Ring, Arlo, SimpliSafe (security), SmartThings, Home Assistant, IFTTT, and many more. Use search_zapier_actions to discover specific actions for your devices.
How do I get a Zapier NLA API key? +
Visit https://nla.zapier.com/ and sign in with your Zapier account. Navigate to the NLA API settings page and generate a new API key (starts with sk-nla-). You'll need a Zapier account with exposed actions configured for the smart home apps you want to control.
What is the difference between exposed actions and AI zaps? +
Exposed actions are individual smart home actions you've configured and made available for AI execution (e.g., "turn on kitchen light"). AI zaps are multi-step automation workflows that can be triggered with natural language instructions. Exposed actions are for direct device control, while AI zaps are for complex workflows involving multiple steps and apps.
Can I control devices with natural language commands? +
Yes! Use the send_natural_language_command tool to send any smart home command in plain English. For example: "turn off all the lights", "set the thermostat to 72 degrees", or "lock the front door". The API will search for matching actions and execute the best match. You can also use search_zapier_actions to find specific action IDs for more precise control.
How do I use `search_zapier_actions` to find out what device controls are available? +
It returns a list of matching actions that can be executed via the NLA API. You send natural language descriptions, and the tool searches across 5000+ apps to show you exactly which functions your AI client can call.
What is the purpose of using `get_zapier_config_link` for my smart home setup? +
This link lets you expose new actions that aren't currently available to your AI client. You use it when you want to add more specific smart home functions or integrations beyond what's already connected.
Can I use `preview_zapier_zap` before triggering a full automation routine? +
Yes, this tool lets you preview an entire automation workflow from natural language descriptions. You can check how the Zaps will run and what steps they take without actually executing them on your devices.
When should I use `execute_zapier_action` instead of sending a general command? +
Use this tool when you know the specific action ID and need to execute it directly. It provides the primary method for controlling devices by running a known, exposed action through Zapier NLA.
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