VesselAPI MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect VesselAPI 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 VesselAPI, 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 VesselAPI MCP Server
Empower your AI agent to orchestrate your entire maritime research and vessel auditing workflow with VesselAPI, the comprehensive source for global shipping data. By connecting VesselAPI to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly track vessels by IMO number, audit upcoming port schedules, and retrieve real-time AIS positions without you ever touching a maritime dashboard. Whether you are conducting supply chain research or monitoring global trade flow, your agent acts as a real-time maritime consultant, ensuring your data is always precise and up-to-the-minute.
The Vercel AI SDK gives every VesselAPI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Vessel Auditing — Retrieve high-resolution details for any vessel by IMO number, including flag, type, and build metadata.
- Schedule Oversight — Audit upcoming port calls and historical schedules to maintain a clear view of maritime logistics.
- Position Intelligence — Query real-time AIS positions to understand the current geographic distribution of vessels instantly.
- Port Discovery — List global maritime ports and retrieve localized metadata to assist in geographic planning.
- Logistics Monitoring — Check API status and monitor your data usage to maintain strict control over your research volume.
The VesselAPI MCP Server exposes 6 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 VesselAPI to Vercel AI SDK via MCP
Follow these steps to integrate the VesselAPI 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 6 tools from VesselAPI and passes them to the LLM
Why Use Vercel AI SDK with the VesselAPI MCP Server
Vercel AI SDK provides unique advantages when paired with VesselAPI 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 VesselAPI integration everywhere
Built-in streaming UI primitives let you display VesselAPI 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
VesselAPI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the VesselAPI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query VesselAPI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate VesselAPI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed VesselAPI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with VesselAPI through natural language queries
VesselAPI MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect VesselAPI to Vercel AI SDK via MCP:
check_api_status
Check if the VesselAPI is operational
get_vessel_details
Get comprehensive details for a vessel by IMO number
get_vessel_position
Get the latest AIS position for a vessel
get_vessel_schedules
Get upcoming port calls and schedules for a vessel
list_maritime_ports
List global maritime ports supported by VesselAPI
search_vessels
Search for vessels by name
Example Prompts for VesselAPI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with VesselAPI immediately.
"Get details for vessel with IMO 9411159 using VesselAPI."
"Where is vessel 'MSC OSCAR' located right now?"
"Show upcoming schedules for IMO 9243394."
Troubleshooting VesselAPI MCP Server with Vercel AI SDK
Common issues when connecting VesselAPI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVesselAPI + Vercel AI SDK FAQ
Common questions about integrating VesselAPI 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 VesselAPI 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 VesselAPI to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.