NavAPI 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 NavAPI 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 NavAPI, 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 NavAPI MCP Server
Empower your AI agent to orchestrate your entire maritime research and nautical auditing workflow with NavAPI, the comprehensive source for global shipping and navigation data. By connecting NavAPI to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly search for maritime ports, audit nautical distances, and retrieve vessel traffic statistics without you ever touching a technical portal. Whether you are planning shipping routes or conducting regional maritime audits, your agent acts as a real-time nautical consultant, ensuring your data is always precise and localized.
The Vercel AI SDK gives every NavAPI 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
- Port Auditing — Retrieve high-resolution details for thousands of global maritime ports, including country and coordinate metadata.
- Route Oversight — Audit nautical distances between any two ports to maintain a clear view of shipping logistics and scale.
- Traffic Intelligence — Query real-time vessel traffic for specific ports to understand the current industry distribution instantly.
- Chart Discovery — List available nautical charts for specific geographic areas to assist in regional navigation planning.
- Logistics Monitoring — Check API status to ensure your maritime research workflow is always operational.
The NavAPI 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 NavAPI to Vercel AI SDK via MCP
Follow these steps to integrate the NavAPI 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 NavAPI and passes them to the LLM
Why Use Vercel AI SDK with the NavAPI MCP Server
Vercel AI SDK provides unique advantages when paired with NavAPI 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 NavAPI integration everywhere
Built-in streaming UI primitives let you display NavAPI 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
NavAPI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the NavAPI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query NavAPI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate NavAPI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed NavAPI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with NavAPI through natural language queries
NavAPI MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect NavAPI to Vercel AI SDK via MCP:
check_api_status
Check if the NavAPI service is operational
get_nautical_ports
List global maritime ports with optional country filter
get_port_distance
Calculate the nautical distance between two ports
get_port_vessel_traffic
Get current vessel traffic statistics for a specific port
list_nautical_charts
List nautical charts available for a specific geographic area
search_maritime_routes
Search for maritime shipping routes
Example Prompts for NavAPI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with NavAPI immediately.
"Search for ports in 'Singapore' using NavAPI."
"Calculate the nautical distance between 'SGSIN' (Singapore) and 'NLRTM' (Rotterdam)."
"What is the current traffic at the Port of Shanghai (CNSHA)?"
Troubleshooting NavAPI MCP Server with Vercel AI SDK
Common issues when connecting NavAPI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNavAPI + Vercel AI SDK FAQ
Common questions about integrating NavAPI 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 NavAPI 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 NavAPI to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.