Datalastic Maritime 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 Datalastic Maritime 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 Datalastic 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 Datalastic Maritime MCP Server
Equip your AI agent with real-time global maritime intelligence through the Datalastic MCP server. This integration provides instant access to detailed information on thousands of vessels and ports worldwide. Your agent can search for ships by name, retrieve exhaustive metadata (including MMSI, status, and flag), and track real-time positions and ETAs for specific vessels. It also allows searching for maritime ports by country to find official UN/LOCODEs. Whether you are managing global logistics, auditing supply chains, or researching maritime traffic, your agent acts as a dedicated port captain and logistics analyst through natural conversation.
The Vercel AI SDK gives every Datalastic Maritime tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 Search & Specs — Find commercial ships by name and retrieve robust technical dimensions and tonnages.
- Navigation Intelligence — Retrieve real-time positions, ETAs, and historical AIS tracking paths for specific vessels.
- Geofence Discovery — Find all active vessels and cargo tankers located within a specific circular radius instantly.
- Port Insights — Discover maritime ports by country or name and retrieve exact geolocations and UN/LOCODEs.
The Datalastic Maritime 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 Datalastic Maritime to Vercel AI SDK via MCP
Follow these steps to integrate the Datalastic 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 8 tools from Datalastic Maritime and passes them to the LLM
Why Use Vercel AI SDK with the Datalastic Maritime MCP Server
Vercel AI SDK provides unique advantages when paired with Datalastic 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 Datalastic Maritime integration everywhere
Built-in streaming UI primitives let you display Datalastic 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
Datalastic Maritime + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Datalastic Maritime MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Datalastic Maritime in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Datalastic Maritime tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Datalastic Maritime capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Datalastic Maritime through natural language queries
Datalastic Maritime MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Datalastic Maritime to Vercel AI SDK via MCP:
find_vessels_in_radius
Find all vessels currently located within a specific circular radius
get_port_details
Get specific details and coordinates for a maritime port
get_vessel_history
Get historical AIS track and location data for a vessel
get_vessel_pro_specs
Get advanced technical specifications for a vessel
get_vessel_status
Get real-time location and status for a specific vessel
search_maritime_vessels
Search for vessels by name
search_ports_by_country
Search for maritime ports in a specific country
search_ports_by_name
Search for maritime ports by text name
Example Prompts for Datalastic Maritime in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Datalastic Maritime immediately.
"Search for a vessel named 'Ever Given'."
"What is the current status and ETA for vessel MMSI '235114578'?"
"List all major ports in 'Brazil'."
Troubleshooting Datalastic Maritime MCP Server with Vercel AI SDK
Common issues when connecting Datalastic Maritime to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDatalastic Maritime + Vercel AI SDK FAQ
Common questions about integrating Datalastic 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 Datalastic 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 Datalastic Maritime to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.