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How to Use the Honeywell Forge MCP in Vercel AI SDK

Build Next.js dashboards that stream real-time building telemetry directly to your users with the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Honeywell Forge MCP to Vercel AI SDK

Create your Vinkius account to connect Honeywell Forge to Vercel AI 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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Stream HVAC telemetry directly to React UIs

The `get_temperature_data` tool pulls zone temperatures, setpoint targets, and HVAC compressor states directly into your frontend components. Users see real-time climate changes without waiting for slow API responses or loading spinners. This MCP Server setup runs on Edge Functions to keep latency minimal. By combining this with `get_energy_usage`, your interface displays live consumption spikes alongside temperature shifts as they happen.

Acknowledge alarms live in the Vercel AI SDK

The `get_alarms` tool fetches security breaches and fire system alerts to render them instantly on the user's dashboard. Your agent handles the triage process, letting the user view active incidents in real time. When a technician marks an issue as seen, the `acknowledge_alarm` tool updates the Forge audit log. This action updates the UI state immediately, bypassing typical page reloads.

Build interactive door controls with this MCP Server

The `get_door_status` tool queries whether a specific entry point is open, locked, or forced. Having this data stream directly to a Next.js interface lets security guards verify physical states instantly. If an entry point needs immediate locking, the `lock_door` and `unlock_door` tools execute the command and update the UI state. This ensures the dashboard always reflects the actual physical environment.

Setup guide

Set up Honeywell Forge MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Honeywell Forge tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Honeywell Forge transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Honeywell Forge. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Honeywell Forge MCP in Vercel AI SDK

The SDK handles connections via Edge-compatible HTTP transports. If a Honeywell Forge API call lags, the SDK's streaming architecture prevents the entire UI from freezing by rendering partial data chunks as they arrive.
Yes, you can run queries inside Edge Functions. The Vercel AI SDK MCP client connects using standard web transport protocols, allowing lightweight Edge execution without heavy Node.js dependencies.
Use `list_video_feeds` to get the HLS or RTSP stream URLs. Your Vercel AI SDK agent then passes these URLs to a custom video player component in your frontend.
You pass OAuth tokens through the `authProvider` configuration during client initialization. This ensures every command like `unlock_door` is tied to an authenticated session.
No. The server only reads building telemetry and access logs to pass them to your frontend, never storing credentials or physical access logs locally.

Start using the Honeywell Forge MCP today

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