Compatible with every major AI agent and IDE
What is the ESPHome MCP Server?
Connect your ESPHome microcontrollers to any AI agent and take full control of your smart home or industrial IoT setup through natural conversation.
What you can do
- Real-time Monitoring — Fetch the current state and values of any sensor, switch, or binary sensor using the
get_entity_statetool. - Lighting Control — Manage lights with precision using
light_action, including brightness and RGB color adjustments. - Appliance Management — Toggle switches, control fans with
fan_action, and adjust covers (blinds/garage doors) withcover_action. - Interactive Components — Press buttons via
button_press, set numeric values withnumber_set, and choose options from dropdowns withselect_option. - Security & Safety — Arm or disarm alarm panels using
alarm_actiondirectly from your chat interface.
How it works
- Enable the
web_servercomponent in your ESPHome YAML configuration. - Subscribe to this server.
- Enter your device's local URL and optional password.
- Start interacting with your hardware from Claude, Cursor, or any MCP client.
Who is this for?
- Home Automation Enthusiasts — control your local environment without complex dashboards.
- IoT Developers — test and debug ESP32/ESP8266 entity behaviors using natural language.
- Hardware Engineers — monitor sensor metrics and trigger actions during prototyping phases.
Built-in capabilities (10)
Perform an action on an alarm control panel
Press a button entity
g., blinds, garage door), optionally setting position and tilt. Perform an action on a cover entity
Perform an action on a fan entity
g., sensor, switch) using the Web Server REST API. Get the state of an ESPHome entity
Get Prometheus metrics from the ESPHome device
Perform an action on a light entity
Set a value for a number entity
Set an option for a select entity
Perform an action on a switch entity
Why Pydantic AI?
Pydantic AI validates every ESPHome tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
- —
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ESPHome integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
- —
Dependency injection system cleanly separates your ESPHome connection logic from agent behavior for testable, maintainable code
ESPHome in Pydantic AI
ESPHome and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ESPHome to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ESPHome in Pydantic AI
The ESPHome 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
ESPHome for Pydantic AI
Every tool call from Pydantic AI to the ESPHome MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I control my lights and set specific colors using this server?
Yes! Use the light_action tool. You can specify the entity name, the action (turn_on), and optional parameters like brightness (0-255) and RGB values (r, g, b) to get the perfect ambiance.
How do I check the current temperature or humidity from my sensors?
Simply use the get_entity_state tool. Provide the domain (e.g., 'sensor') and the entity ID. The agent will return the current value and state of that specific hardware component.
Is it possible to trigger a physical button or restart a device?
Yes. If you have a button entity configured in ESPHome (like a restart button), you can use the button_press tool with the entity name to trigger that action remotely.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your ESPHome MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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