Kargo MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Kargo through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Kargo, 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 Kargo MCP Server
Connect your Kargo logistics account to your AI agent and optimize your supply chain and loading dock operations through natural conversation.
The Vercel AI SDK gives every Kargo tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Shipment Tracking — List all shipments for your facility and get real-time status updates and carrier info.
- Order Management — Access facility-wide customer orders and their current status.
- Deep Inspection — Fetch complete metadata for specific shipments or orders using their unique numbers.
- Data Synchronization — Push order and shipment payload data directly to Kargo's Unified Endpoint to keep systems in sync.
- Facility & Device Oversight — List all business facilities and monitor the status of active IoT devices (cameras, sensors).
- Audit Logs — Review the history of data payloads pushed to the platform.
The Kargo MCP Server exposes 10 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 Kargo to Vercel AI SDK via MCP
Follow these steps to integrate the Kargo 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 10 tools from Kargo and passes them to the LLM
Why Use Vercel AI SDK with the Kargo MCP Server
Vercel AI SDK provides unique advantages when paired with Kargo 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 Kargo integration everywhere
Built-in streaming UI primitives let you display Kargo 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
Kargo + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Kargo MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Kargo in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Kargo tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Kargo capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Kargo through natural language queries
Kargo MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Kargo to Vercel AI SDK via MCP:
get_carrier_info
Get carrier contact info
get_device_status
Get specific device status
get_order
Get specific order details
get_shipment
Get specific shipment details
list_devices
List facility IoT devices
list_facilities
List all business facilities
list_orders
List facility orders
list_payload_logs
List sync payload logs
list_shipments
List all shipments at the facility
update_logistics
Sync data to Kargo Unified Endpoint
Example Prompts for Kargo in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Kargo immediately.
"List all active shipments for my facility."
"Check the status of all IoT devices in the facility."
"Get details for shipment number SHP-2024-05."
Troubleshooting Kargo MCP Server with Vercel AI SDK
Common issues when connecting Kargo to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpKargo + Vercel AI SDK FAQ
Common questions about integrating Kargo 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 Kargo 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 Kargo to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.