ESPHome MCP. Control your physical hardware using natural conversation.
ESPHome MCP connects any AI agent to your ESPHome microcontrollers, letting you manage and monitor physical IoT devices using natural conversation. Get real-time sensor readings or change the color of a light without opening a dashboard. It lets you control switches, set blinds, arm alarms, and more, all through simple chat commands.
Give Claude and any AI agent real-world access
Retrieve the current status and value from any connected sensor or digital switch.
Adjust lights by turning them on, off, or setting precise colors and brightness levels.
Operate blinds, garage doors, fans, and standard switches using conversational commands.
Arm or disarm alarm panels directly from your chat interface.
Adjust specific values on devices, like temperature set points or dimmer levels.
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What AI agents can do with ESPHome: 10 Device Control Tools
These tools let your agent perform specific physical actions, from checking a sensor reading using get_entity_state to toggling complex components like fans and alarms.
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 ESPHome MCPAlarm Action
Triggers an action on an alarm control panel, such as arming or disarming the system.
Button Press
Simulates a physical button press event on an entity.
Cover Action
Controls motorized covers, including adjusting blinds or garage doors to specific...
Fan Action
Changes the operational state of a fan entity (e.g., on/off or speed).
Get Entity State
Retrieves the current status, value, or reading from any specified sensor or switch.
Get Metrics
Pulls detailed Prometheus performance metrics directly from the connected device.
Light Action
Manages lights, allowing you to turn them on or off and set specific color values (RGB).
Number Set
Sets a precise numeric value for an entity that accepts continuous data.
Select Option
Forces an entity to adopt one specific option from a predefined list of choices.
Switch Action
Toggles the power state (on/off) for a standard electrical switch.
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.
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 each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with ESPHome, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ESPHome. 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 CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
The dashboard maze
Today, if you want to know why the garage door is open or turn off a specific set of lights, you're stuck clicking through three different manufacturer apps. You check the weather widget, then open the lighting app for dimmer control, and finally jump into the alarm panel interface just to arm it. It takes five different screens and seven clicks.
With this MCP, your agent handles all those steps automatically. Instead of opening dashboards, you simply ask: 'Check if I need to lock up.' The agent checks sensors, runs `cover_action` on the door, and then triggers `alarm_action`. You get the outcome instantly.
ESPHome MCP Gives You Total Control
You don't have to manually write code or build complex automations in YAML files just to check if a sensor is working or adjust the ambiance. The agent handles the API calls for you.
Now, every interaction—from reading temperature using `get_entity_state` to adjusting blinds with `cover_action`—is handled through conversational language. It's hands-free device management.
What ESPHome MCP does for your AI
Managing smart home hardware usually means jumping between apps and complex dashboards. This MCP changes that. It connects your ESPHome-powered devices to any AI agent, giving your natural language prompts direct access to the physical world. You can ask your agent for the current temperature reading or tell it to change the living room light to a specific color.
Need to automate something? Your agent handles complex routines—like turning off lights and setting the alarm after you leave. This capability is hosted on Vinkius, giving your AI client access to thousands of other hardware controllers, making it the central hub for all your smart devices.
019e3892-4f83-718f-9c79-7a5490a66a72 How to set up ESPHome MCP
The bottom line is that your physical hardware speaks directly to your AI client over a simple API connection.
First, enable the web_server component in your ESPHome YAML configuration file.
Next, subscribe to this MCP and provide your device's local URL and any required password within Vinkius.
Finally, tell your AI agent to perform an action, like 'Set the kitchen light to blue,' and it handles the rest.
Who uses ESPHome MCP
This MCP serves developers who build custom IoT setups and engineers tired of managing dozens of siloed dashboard interfaces. If you run smart systems on ESP32 or ESP8266, this is for you.
Tests device behaviors and debugs entity states using natural language prompts instead of writing specific API calls.
Creates complex, multi-step routines—like 'goodnight' mode—by simply talking to the system through an AI agent.
Monitors sensor metrics and triggers physical actions during prototyping phases without needing a dedicated dashboard setup.
Benefits of connecting ESPHome MCP
Stop clicking through menus. You can now monitor any sensor reading or change a light's color just by asking your agent, which uses the get_entity_state and light_action tools.
Run complex routines like 'movie night' in one go. Your agent coordinates multiple actions, such as setting a specific number using number_set, dimming lights with light_action, and closing blinds via cover_action.
Get performance data without logs. Need to check the device health? The get_metrics tool pulls Prometheus data directly into your conversation context for immediate debugging.
Simplify security management. Use alarm_action to arm or disarm panels, eliminating the need to physically interact with a separate key switch just to run an automation script.
Handle all inputs: From simple on/off toggles using switch_action to pressing virtual buttons via button_press, this MCP covers every common interaction point.
ESPHome MCP use cases
The 'Leaving Home' routine
A homeowner asks their agent, 'I'm leaving.' The agent triggers the sequence: it uses light_action to turn off all non-essential lights, executes cover_action to close the garage door, and finally calls alarm_action to arm the system. All done with one command.
Troubleshooting a sensor reading
A developer asks their agent about a temperature fluctuation. The agent immediately uses get_entity_state to pull the live data, and then runs get_metrics to check if the device itself is reporting unusual performance metrics.
Setting a complex scene
An engineer needs to set up a climate control test. They ask the agent to 'Set the target temperature to 24 degrees and ensure the fan is running.' The MCP uses number_set for the temperature and fan_action to activate the cooling.
Remote access testing
A hardware team member needs to test a prototype blind. They simply tell their agent, 'Close the main blinds.' The MCP executes the action using cover_action, allowing them to verify functionality without needing local physical access.
ESPHome MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Assuming state changes are automatic
The user asks, 'What is the status of the attic sensor?' and expects a response, but the agent fails because it didn't specify which tool to use.
Always start by asking your agent to get_entity_state for the specific entity ID (e.g., 'attic_temperature'). This guarantees you get the current metric reading.
Trying to control a value that needs selection
A user asks, 'Set the thermostat to Eco Mode,' but the agent fails because it only recognizes simple number inputs.
If the device has predefined states or options (like modes), use select_option and specify the exact mode name ('Eco').
Ignoring necessary actions
The user says, 'Turn on the bathroom lights,' but the system requires a specific state change that must be explicitly commanded.
Use light_action to ensure the light is powered up. If it's dimmer-controlled, use number_set alongside it.
When to use ESPHome MCP
Use this MCP if your goal is physical control and real-time monitoring of connected hardware. You need an agent to act as a natural language interface for a system built on microcontrollers (like ESP32/ESP8266). If you only need to read data from external databases, or process documents, this isn't the right tool; stick with generic API connectors. However, if your workflow involves triggering physical actions—turning things on or off, changing colors, moving blinds, checking a live sensor reading—then this MCP is exactly what you need. It connects the digital intelligence of your AI client to tangible electricity and sensors.
Frequently asked questions about ESPHome MCP
How does the ESPHome MCP handle multiple devices? +
The MCP uses entity IDs to manage every single device, whether it is a light or a fan. You simply reference the specific ID when you ask your agent for an action.
Can I use the ESPHome MCP to read sensor data? +
Yes. Use get_entity_state to pull real-time readings from any connected temperature, humidity, or binary sensor.
Is the ESPHome MCP only for simple on/off actions? +
No. You can do far more. For example, you can use light_action to set specific RGB colors, not just turn them on or off.
What if I need to check the device health metrics with ESPHome MCP? +
You call the get_metrics tool. This fetches detailed performance data from your device using Prometheus standards for advanced debugging.
How do I make the blinds move using the ESPHome MCP? +
Use the cover_action. You can tell your agent to 'Close the garage door' or specify a position and tilt angle within that command.