BoxLock MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Get Lock, List Activities, List Barcodes, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect BoxLock through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The BoxLock app connector for Vercel AI SDK is a standout in the Security Compliance category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 BoxLock, 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 BoxLock MCP Server
Connect your BoxLock Control (v3) account to any AI agent and take full control of your physical security and automated supply chain logistics through natural conversation.
The Vercel AI SDK gives every BoxLock tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Lock Orchestration — List and manage all BoxLock smart locks in your organization programmatically, retrieving detailed battery levels and high-fidelity connectivity status
- Remote Authorization — Programmatically authorize locks to be opened via physical button press for specific workers or maintenance windows in real-time
- Access Intelligence — Monitor real-time access events and retrieve detailed historical activity logs to maintain high-fidelity audit trails of all openings and scans
- Asset Tracking Architecture — Access complete directories of barcodes and trackable assets to maintain a perfectly coordinated digital ledger of physical goods
- Location Visibility — Retrieve complete directories of physical sites and groups to coordinate your infrastructure security directly through your agent
The BoxLock MCP Server exposes 7 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.
All 7 BoxLock tools available for Vercel AI SDK
When Vercel AI SDK connects to BoxLock through Vinkius, your AI agent gets direct access to every tool listed below — spanning smart-lock, access-control, logistics-security, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get lock details
List lock activity logs
List all active barcodes
List all locations
List all BoxLock smart locks
List all organization users
Pass data as a JSON string. Remotely authorize a lock to be opened
Connect BoxLock to Vercel AI SDK via MCP
Follow these steps to wire BoxLock into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the BoxLock MCP Server
Vercel AI SDK provides unique advantages when paired with BoxLock 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 BoxLock integration everywhere
Built-in streaming UI primitives let you display BoxLock 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
BoxLock + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the BoxLock MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query BoxLock in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate BoxLock tools and return structured JSON responses to any frontend
Chatbots with tool use: embed BoxLock capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with BoxLock through natural language queries
Example Prompts for BoxLock in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with BoxLock immediately.
"List all active smart locks in my organization."
"Authorize 'Loading Dock B' (ID: 'lock_123') to be opened for worker '101' for the next hour."
"Show the last 5 access events for all locks from today."
Troubleshooting BoxLock MCP Server with Vercel AI SDK
Common issues when connecting BoxLock to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBoxLock + Vercel AI SDK FAQ
Common questions about integrating BoxLock 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.