How to Use the Zapier Smart Home MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK handle complex requests for Zapier Smart Home?

The agent uses sendnaturallanguagecommand to interpret your request first. If it can't figure out a single action, it automatically triggers a multi-step Zap workflow using triggeraizap. It routes the command through Zapier’s core API.

Q: Can I list all possible smart home functions with Zapier Smart Home and OpenAI Agents SDK?

Yes. You can call listsmarthomeactions to get up to 50 matching actions that cover a massive range of devices. This gives your agent the necessary scope to understand what you're asking for.

Q: Does the OpenAI Agents SDK support advanced control over lighting in Zapier Smart Home?

Absolutely. It provides dedicated functions like listlightingactions and allows explicit control over dimming, color changes, and simple on/off states, giving granular control over your setup.

Q: What if I need to preview a complex routine in Zapier Smart Home using the OpenAI Agents SDK?

Before running anything live, use previewzapierzap. You feed it a natural language description of what you want, and it returns a dry run. This way, you confirm the agent's interpretation before making any changes.

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Connect Zapier Smart Home MCP to OpenAI Agents SDK

Create your Vinkius account to connect Zapier Smart Home 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 Zapier Smart Home with OpenAI Agents SDK

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Perplexity

Execute specific actions via `execute_zapier_action`

You call `execute_zapier_action` to run a known function by its ID. This means you don't have to parse complex natural language when you know exactly what needs doing. If your agent needs to turn off the kitchen lights, it executes that specific action directly. It handles the parameters and completes the command without guesswork.

Discover available actions with the MCP Server

Need to know what devices are connected? Use `list_exposed_actions` or run `search_zapier_actions`. These calls give your agent a structured list of everything that's controllable, from security cameras to dimmers. This prevents the agent from failing because it tried to control something that doesn't exist in the home system.

Run complex flows with `trigger_ai_zap`

Sometimes you need more than just a single command. Use `trigger_ai_zap` to execute an entire pre-built Zapier workflow based on natural language input. This lets your agent manage multi-step routines—like 'Goodnight' mode, which might lock doors and dim all lights in sequence.

Setup guide

Set up Zapier Smart Home 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 Zapier Smart Home tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Zapier Smart Home 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="Zapier Smart Home Agent",
            instructions="You have access to Zapier Smart Home 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 Zapier Smart Home MCP in OpenAI Agents SDK

The agent uses `send_natural_language_command` to interpret your request first. If it can't figure out a single action, it automatically triggers a multi-step Zap workflow using `trigger_ai_zap`. It routes the command through Zapier’s core API.

Yes. You can call `list_smarthome_actions` to get up to 50 matching actions that cover a massive range of devices. This gives your agent the necessary scope to understand what you're asking for.

Absolutely. It provides dedicated functions like `list_lighting_actions` and allows explicit control over dimming, color changes, and simple on/off states, giving granular control over your setup.

Before running anything live, use `preview_zapier_zap`. You feed it a natural language description of what you want, and it returns a dry run. This way, you confirm the agent's interpretation before making any changes.

This MCP Server processes natural language commands which are then mapped to specific device controls. The primary data type handled is the structured action ID and its associated parameters (e.g., 'dimmer_level: 50%').

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