Bring Smart Lock
to Vercel AI SDK
Learn how to connect BoxLock to Vercel AI SDK and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Key (Bearer Token) from your BoxLock Control dashboard (Settings > Developer API)
3. Start managing your physical access from Claude, Cursor, or any MCP client
No more manual status checking of individual locks or missing delivery attempts. Your AI acts as your dedicated security operations and logistics coordinator.
Who is this for?
- Logistics Managers — instantly authorize delivery access and monitor asset scans using natural language commands
- Facility Operations — track lock battery health and manage worker permissions without leaving your workspace
- Security Teams — automate the auditing of physical access events and monitor tampering alerts through simple AI queries
Built-in capabilities (7)
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
Why Vercel AI SDK?
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.
- —
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 in Vercel AI SDK
BoxLock and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect BoxLock to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for BoxLock in Vercel AI SDK
The BoxLock 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. All 7 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
BoxLock for Vercel AI SDK
Every tool call from Vercel AI SDK to the BoxLock MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my BoxLock API Key?
Log in to your BoxLock Control account, navigate to Settings > Developer API, and generate a new v3 Bearer Token.
Can I open a lock remotely via AI?
Yes! The press_to_open tool allows you to authorize the physical button on a lock to be active for a specific worker and reason programmatically.
How do I check battery levels?
Use the list_locks or get_lock tools to retrieve real-time metadata including current battery percentage and signal strength for every device.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
