JSONCargo Maritime MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect JSONCargo Maritime through the 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 JSONCargo Maritime, 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 JSONCargo Maritime MCP Server
Empower your AI agent to orchestrate your entire maritime research and vessel auditing workflow with JSONCargo Maritime, the comprehensive source for real-time shipping data. By connecting JSONCargo to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly search for vessels, audit current voyage statuses, and retrieve detailed port metadata without you ever touching a maritime portal. Whether you are conducting supply chain research or monitoring regional trade constraints, your agent acts as a real-time maritime consultant, ensuring your data is always verified and precise.
The Vercel AI SDK gives every JSONCargo Maritime tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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
- Vessel Auditing — Search for thousands of maritime vessels by name or IMO number and retrieve detailed metadata, including flags and types.
- Voyage Oversight — Audit the current status and position of vessels to understand the temporal distribution of maritime logistics instantly.
- Port Discovery — Browse global ports and their location codes (LOCODEs) to maintain strict organizational control over trade routes.
- Logistics Intelligence — Retrieve unique vessel identifiers to assist in deep-dive supply chain classification.
- Operational Monitoring — Check API status to ensure your maritime research workflow is always operational.
The JSONCargo Maritime MCP Server exposes 4 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 JSONCargo Maritime to Vercel AI SDK via MCP
Follow these steps to integrate the JSONCargo Maritime 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 4 tools from JSONCargo Maritime and passes them to the LLM
Why Use Vercel AI SDK with the JSONCargo Maritime MCP Server
Vercel AI SDK provides unique advantages when paired with JSONCargo Maritime 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 JSONCargo Maritime integration everywhere
Built-in streaming UI primitives let you display JSONCargo Maritime 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
JSONCargo Maritime + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the JSONCargo Maritime MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query JSONCargo Maritime in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate JSONCargo Maritime tools and return structured JSON responses to any frontend
Chatbots with tool use: embed JSONCargo Maritime capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with JSONCargo Maritime through natural language queries
JSONCargo Maritime MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect JSONCargo Maritime to Vercel AI SDK via MCP:
check_api_status
Check if the JSONCargo service is operational
get_current_voyage_details
Get full metadata for the current voyage of a specific vessel ID
list_maritime_ports
List global ports registered in the JSONCargo database
search_maritime_vessels
Search for maritime vessels by name or IMO number
Example Prompts for JSONCargo Maritime in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with JSONCargo Maritime immediately.
"Search for vessel 'Ever Given' using JSONCargo."
"What is the current voyage status for vessel ID 'VES-123'?"
"List all maritime ports in 'Netherlands'."
Troubleshooting JSONCargo Maritime MCP Server with Vercel AI SDK
Common issues when connecting JSONCargo Maritime to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJSONCargo Maritime + Vercel AI SDK FAQ
Common questions about integrating JSONCargo Maritime 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 JSONCargo Maritime 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 JSONCargo Maritime to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.
