Google Home MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Google Home through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Google Home Assistant",
instructions=(
"You help users interact with Google Home. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Google Home"
)
print(result.final_output)
asyncio.run(main())
* 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
About Google Home MCP Server
Connect to Google Nest devices via the Smart Device Management (SDM) API and control your smart home from any AI agent. Manage thermostats, view camera feeds, and interact with doorbells.
The OpenAI Agents SDK auto-discovers all 12 tools from Google Home through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Google Home, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- List Devices — See all your Nest thermostats, cameras, doorbells, and displays
- Thermostat Control — Set mode (Heat/Cool/Off), adjust temperatures, enable eco mode, and control fan timer
- Camera Streaming — Generate live RTSP or WebRTC stream URLs from Nest cameras and doorbells
- Doorbell Management — View doorbell camera feeds and stream events
- Structure & Rooms — Browse your home's structures and room organization
- Device Details — Get full device state including all traits and current settings
The Google Home MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Google Home to OpenAI Agents SDK via MCP
Follow these steps to integrate the Google Home MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Google Home
Why Use OpenAI Agents SDK with the Google Home MCP Server
OpenAI Agents SDK provides unique advantages when paired with Google Home through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Google Home + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Google Home MCP Server delivers measurable value.
Automated workflows: build agents that query Google Home, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Google Home, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Google Home tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Google Home to resolve tickets, look up records, and update statuses without human intervention
Google Home MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Google Home to OpenAI Agents SDK via MCP:
generate_camera_stream
The stream token is temporary and should be used immediately. Stop the stream when done. Generate a live camera stream URL from a Nest camera or doorbell
get_device
Use device ID from list_devices or device name. Get details for a specific Google Nest device
list_devices
Shows device types, traits, and room assignments. USE WHEN: - User wants to see all their Nest devices - User needs to find device IDs for other commands - User is exploring their smart home setup - User asks "what Nest devices do I have" EXAMPLES: - "List all my Nest devices" → call with no params - "Show my smart home devices" → call with no params - "What Nest devices are connected?" → call with no params List all Google Nest devices in your home
list_rooms
Useful for understanding device locations and room organization. List all rooms in a specific structure
list_structures
Each structure contains rooms and devices. List all structures (homes) in your Google Nest account
set_fan_timer
Turns the fan on for a specified duration. Duration is optional and defaults to the thermostat setting. Set the fan timer on a Nest thermostat
set_thermostat_cool
Use this when the thermostat is in COOL or HEATCOOL mode. Set the cooling temperature on a Nest thermostat
set_thermostat_eco
This is a manual override of the eco/eco-friendly temperature settings. Set Nest thermostat to eco mode for energy savings
set_thermostat_heat
Use this when the thermostat is in HEAT or HEATCOOL mode. Set the heating temperature on a Nest thermostat
set_thermostat_mode
Supported modes: HEAT, COOL, HEATCOOL, OFF. Use device ID from list_devices to target a specific thermostat. USE WHEN: - User wants to change thermostat mode - User asks to turn heating/cooling on or off - User wants to switch thermostat operating mode - User says "set thermostat to heat/cool/off" PARAMETERS: - device_id (REQUIRED): Thermostat device ID - mode (REQUIRED): One of HEAT, COOL, HEATCOOL, or OFF EXAMPLES: - "Set thermostat to heat mode" → call with device_id, mode="HEAT" - "Turn off the thermostat" → call with device_id, mode="OFF" - "Set thermostat to cool" → call with device_id, mode="COOL" Set the mode of a Nest thermostat
set_thermostat_range
Useful for HEATCOOL mode to define the comfort range. Set both heating and cooling temperatures on a Nest thermostat
stop_camera_stream
Use the stream token returned from generate_camera_stream to properly terminate the stream session. Stop an active camera stream from a Nest camera or doorbell
Example Prompts for Google Home in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Google Home immediately.
"List all my Nest devices and show me what thermostats I have."
"Set my living room thermostat to 22°C heating mode."
"Show me the live feed from my front door camera."
Troubleshooting Google Home MCP Server with OpenAI Agents SDK
Common issues when connecting Google Home to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Google Home + OpenAI Agents SDK FAQ
Common questions about integrating Google Home MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Google Home with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Google Home to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
