How to Use the Kisi MCP in Vercel AI SDK

Stream physical access control data straight into your Next.js frontend with the Kisi MCP Server and Vercel AI SDK.

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Connect Kisi MCP to Vercel AI SDK

Create your Vinkius account to connect Kisi 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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Setup Kisi with Vercel AI SDK

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Stream Live Hardware States

The `list_kisi_locks` tool feeds your Vercel AI SDK client a live array of every physical door in your building. Your user asks about office security, and the system pulls the exact lock states before they finish typing. You render this data instantly. When the agent calls `get_kisi_lock`, the specific hardware status streams directly into your React components. No loading spinners appear while waiting for door sensors to reply.

Display Active Directories

Use `list_kisi_users` to pull the active directory of everyone holding a mobile credential. Your custom dashboard can display who has access to the server room the moment the query hits the MCP Server endpoint. Drill down further using `get_kisi_user` and `list_kisi_groups`. The agent figures out exactly which access group a new hire belongs in and streams that configuration back to the UI. You build the interface while the tools handle the API routing.

Execute Remote Door Commands

Trigger physical door commands from your web app using `unlock_kisi_lock`. Your support team clicks a button, the client sends the tool call, and the front door opens for a delivery driver. Emergency situations require zero hesitation. The `lockdown_kisi_lock` tool shuts down entry points immediately. You can verify the API is alive first with `check_kisi_status`, ensuring your UI accurately reflects the physical lockdown state.

Setup guide

Set up Kisi 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Kisi tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Kisi transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kisi. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

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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

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place for every integration

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

Common questions about Kisi MCP in Vercel AI SDK

Install @ai-sdk/mcp and the ai package. Initialize it using createMCPClient with your HTTP transport URL. Pass the result of mcpClient.tools() into your streamText call.

Yes. When the agent calls tools, Vercel AI SDK streams the raw JSON results to the client. You map that payload to your custom React components in real time.

Always call mcpClient.close() when your route handler finishes. Leaving connections hanging drains memory and hits API limits unnecessarily.

It runs perfectly on the Edge. You just need to ensure your transport configuration points to a reachable HTTP endpoint for the server.

The server processes raw physical location data and personal identity records. Your frontend only receives the specific data points requested by the agent, keeping full directory dumps out of the browser.

Use it with your favorite AI tools

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