Google Home MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Google Home through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Google Home, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Google Home tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Google Home MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Google Home and passes them to the LLM
Why Use Vercel AI SDK with the Google Home MCP Server
Vercel AI SDK provides unique advantages when paired with Google Home through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Google Home integration everywhere
Built-in streaming UI primitives let you display Google Home tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Google Home + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Google Home MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Google Home in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Google Home tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Google Home capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Google Home through natural language queries
Google Home MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Google Home to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Google Home to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGoogle Home + Vercel AI SDK FAQ
Common questions about integrating Google Home MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Google Home with your favorite client
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Leading Python framework for composable LLM applications.
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Microsoft's framework for multi-agent collaborative conversations.
Connect Google Home to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.