Kitetags MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Kitetags Status, Create Group, Create Tag, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kitetags 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 MCP Server for Vercel AI SDK
The Kitetags MCP Server for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Kitetags, 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 Kitetags MCP Server
Connect your Kitetags account to any AI agent and take full control of your asset tracking infrastructure and automated smart tag workflows through natural conversation.
The Vercel AI SDK gives every Kitetags tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Tag Portfolio Orchestration — List and manage your entire high-fidelity database of smart tags programmatically, retrieving detailed technical metadata and claim status
- Location Intelligence — Programmatically query and monitor the last known locations of your tagged assets to maintain a perfectly coordinated logistical overview
- Group & Category Architecture — Access your complete directory of tag groups and categories to oversee your organizational resource allocation in real-time
- Smart Alert Monitoring — Access real-time status updates and track tag activity directly through your agent for instant operational reporting
- Operational Monitoring — Verify account-level API connectivity and monitor tag volume directly through your agent for perfectly coordinated service scaling
The Kitetags MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Kitetags tools available for Vercel AI SDK
When Vercel AI SDK connects to Kitetags through Vinkius, your AI agent gets direct access to every tool listed below — spanning asset-tracking, inventory-management, location-intelligence, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Check kitetags status on Kitetags
Verify connectivity
Create group on Kitetags
Create a group
Create tag on Kitetags
Create a tag
Delete group on Kitetags
Delete a group
Delete tag on Kitetags
Delete a tag
Get group on Kitetags
Get group details
Get tag on Kitetags
Get tag details
Get tag analytics on Kitetags
Get tag analytics
List group tags on Kitetags
List tags in group
List groups on Kitetags
List groups
List tags on Kitetags
List tags
Search tags on Kitetags
Search tags
Connect Kitetags to Vercel AI SDK via MCP
Follow these steps to wire Kitetags into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 Kitetags MCP Server
Vercel AI SDK provides unique advantages when paired with Kitetags 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 Kitetags integration everywhere
Built-in streaming UI primitives let you display Kitetags 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
Kitetags + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kitetags MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kitetags in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kitetags tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kitetags capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kitetags through natural language queries
Example Prompts for Kitetags in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kitetags immediately.
"List all active smart tags in my Kitetags account."
"Show the last known location for tag ID 'tag_987'."
"List all tag groups and their current member counts."
Troubleshooting Kitetags MCP Server with Vercel AI SDK
Common issues when connecting Kitetags to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKitetags + Vercel AI SDK FAQ
Common questions about integrating Kitetags 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.Explore More MCP Servers
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