How to Use the ESPHome MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK monitor ESPHome device health?

It can. By calling getmetrics within your agent's loop, you get immediate visibility into uptime and performance stats directly from the hardware.

Control your IoT hardware using OpenAI Agents SDK and this MCP Server. Direct device manipulation from your production code.

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Connect ESPHome MCP to OpenAI Agents SDK

Create your Vinkius account to connect ESPHome to OpenAI Agents SDK 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 ESPHome with OpenAI Agents SDK

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Direct hardware control via OpenAI Agents SDK

Your agent gains the ability to toggle devices without manual intervention. By using `light_action` and `switch_action`, the agent executes commands directly on your ESPHome nodes. This setup removes the need for custom middleware. Simply point your agent at the server and let the OpenAI Agents SDK handle the tool discovery.

Telemetry monitoring for your agent

Get real-time sensor data back into your logic loop. Use `get_entity_state` to pull current readings and `get_metrics` to track device health. Your agent uses this data to make informed decisions. It reacts to environment changes by triggering a `fan_action` or `cover_action` based on the exact telemetry it just retrieved.

Precision entity management

Configure your smart devices with high granularity using `number_set` and `select_option`. These tools map directly to your YAML configuration. Avoid guess-work by using `button_press` to trigger specific automation sequences. Your OpenAI Agents SDK workflow stays clean because the server handles the HTTP requests.

Setup guide

Set up ESPHome MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ESPHome tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives ESPHome tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ESPHome tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ESPHome Agent",
            instructions="You have access to ESPHome tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about ESPHome MCP in OpenAI Agents SDK

You define an MCPServerStreamableHttp instance and pass it to your agent constructor. The SDK automatically discovers the tools, allowing your agent to start calling them immediately.

Yes. Since the MCP server provides a clear schema, the SDK validates your agent's requests before they leave your environment. This prevents malformed calls to devices.

It can. By calling `get_metrics` within your agent's loop, you get immediate visibility into uptime and performance stats directly from the hardware.

The server uses standard HTTP transport. You should run this on a restricted VLAN to ensure your IoT actions remain isolated from the public internet.

Data is retrieved via the REST API and passed into the agent's context. No persistent storage occurs on the MCP server side; it's strictly a passthrough for your IoT state.

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