myDevices MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect myDevices through the 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 MCP SERVER
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 myDevices, 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 myDevices MCP Server
Connect your myDevices Cayenne account to empower your AI agents with IoT capabilities. This server allows for real-time monitoring and control of connected sensors and actuators.
The Vercel AI SDK gives every myDevices tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the 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
- Device Visibility — List and inspect all connected IoT devices and their metadata
- Telemetry Monitoring — Access real-time sensor data and historical telemetry records
- Remote Control — Send commands to actuators and control hardware programmatically
- Alert Management — Monitor and track IoT system alerts and notifications
The myDevices MCP Server exposes 8 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 myDevices to Vercel AI SDK via MCP
Follow these steps to integrate the myDevices 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 8 tools from myDevices and passes them to the LLM
Why Use Vercel AI SDK with the myDevices MCP Server
Vercel AI SDK provides unique advantages when paired with myDevices 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 myDevices integration everywhere
Built-in streaming UI primitives let you display myDevices 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
myDevices + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the myDevices MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query myDevices in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate myDevices tools and return structured JSON responses to any frontend
Chatbots with tool use: embed myDevices capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with myDevices through natural language queries
myDevices MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect myDevices to Vercel AI SDK via MCP:
get_device
Get device details
get_sensor_data
Get current sensor value
get_sensor_history
Get historical sensor data
list_alerts
List IoT alerts
list_applications
List all applications
list_devices
List all IoT devices
list_sensors
List sensors for a device
send_command
Send command to device
Example Prompts for myDevices in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with myDevices immediately.
"List all my connected IoT devices."
"What is the current temperature reading from 'Sensor #1'?"
Troubleshooting myDevices MCP Server with Vercel AI SDK
Common issues when connecting myDevices to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpmyDevices + Vercel AI SDK FAQ
Common questions about integrating myDevices 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 myDevices with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect myDevices to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.