How to Use the NOAA Tides & Currents API MCP in Vercel AI SDK

Stream live marine telemetry and tide predictions straight into your Next.js frontend with Vercel AI SDK.

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Connect NOAA Tides & Currents API MCP to Vercel AI SDK

Create your Vinkius account to connect NOAA Tides & Currents API to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup NOAA Tides & Currents API with Vercel AI SDK

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Stream NOAA Data via Vercel AI SDK

Your frontend needs real-time water conditions, not a spinning loading wheel. Connect this MCP Server and your React components get instant access to live telemetry. The user asks for harbor conditions, and the data renders immediately. Call `get_water_levels` to pull exact depth readings for a specific station. If you need the forecast, `get_tide_predictions` streams the upcoming high and low marks straight to the UI.

Surface Live Temperatures

Maritime operations depend on accurate environmental reads. You cannot wait for static dashboard updates when water density affects vessel draft. This integration connects your AI client directly to NOAA's sensor network. Trigger `get_water_temperature` alongside `get_air_temperature` to feed your agent the current atmospheric baseline. It pulls the raw station data and formats it for immediate display.

Verify API Health Instantly

External dependencies go down. When they do, your application needs to know before it promises data to the end user. We built a direct status check into the toolkit. Run `check_api_status` before executing heavy telemetry pulls. Your agent confirms the service is operational, avoiding silent failures in your edge functions.

Setup guide

Set up NOAA Tides & Currents API MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all NOAA Tides & Currents API tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent NOAA Tides & Currents API transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NOAA Tides & Currents. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about NOAA Tides & Currents API MCP in Vercel AI SDK

Install @ai-sdk/mcp in your project. Use createMCPClient with an HTTP transport pointing to your Vinkius endpoint, then pass the tools directly to streamText.

Yes. The moment the MCP Server fetches station data, the SDK pipes it into your frontend. Users watch the water levels appear in real-time.

Your agent catches the error immediately. You should program it to run check_api_status first, ensuring the service is up before requesting heavy payloads.

You do. The tools require exact station identifiers to fetch the data. Pass a valid ID, and you get the exact high and low marks.

This server only touches public meteorological data and station IDs. No user credentials or proprietary logistics data ever cross the Vinkius V8 Isolate Sandbox. The connection remains ephemeral and zero-trust.

Use it with your favorite AI tools

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