How to Use the NOAA Marine — Tides, Currents & Coastal Data MCP in Vercel AI SDK

Q: How do I use the NOAA Marine — Tides, Currents & Coastal Data server with the Vercel AI SDK?

Just install the @ai-sdk/mcp package and point the createMCPClient to your Vinkius endpoint URL. Pass the tools to generateText or streamText. Your agent can then call tools like gettidepredictions directly from your Next.js app.

Q: Can I build a real-time water level chart with NOAA Marine — Tides, Currents & Coastal Data and the Vercel AI SDK?

Absolutely. Your agent calls getwaterlevels and the AI SDK streams the results. You can use this stream to update a chart component in real-time, showing users the latest tide information without a page refresh.

Stream NOAA coastal data directly into your React & Next.js UI with the Vercel AI SDK. No more loading spinners.

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Connect NOAA Marine — Tides, Currents & Coastal Data MCP to Vercel AI SDK

Create your Vinkius account to connect NOAA Marine — Tides, Currents & Coastal Data 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 Marine — Tides, Currents & Coastal Data with Vercel AI SDK

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Build Live Ocean Dashboards

This toolset connects your UI directly to live NOAA coastal data. Your agent can call `get_water_levels` or `get_water_temperature`, and the numbers will stream right into your React components. Users see data appearing instantly, not after a wait. It's perfect for building interactive maps for mariners or real-time surf condition reports. Combine `get_currents` with `get_meteorological` data to give a complete picture of what's happening at any US coastal station, right now.

Plan Activities with Tide Data

The `get_tide_predictions` tool gives you high and low tide times for the next 48 hours. Your Vercel AI SDK agent can fetch this data and render it into a simple schedule for boaters, fishers, or beachgoers. You're not just getting a static block of JSON. The data streams in, so you can build a UI that updates field by field. It makes your app feel incredibly responsive and alive.

Visualize Long-Term Climate Trends

The `get_sea_level_trends` tool pulls decades of tide gauge data for a specific location. Use it to show users the real, long-term impact of sea-level rise in their area. Because the Vercel AI SDK streams the results, you can start rendering charts or data visualizations as soon as the first numbers arrive. This MCP Server makes complex climate data accessible for any frontend project.

Setup guide

Set up NOAA Marine — Tides, Currents & Coastal Data 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 Marine — Tides, Currents & Coastal Data 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 Marine — Tides, Currents & Coastal Data transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NOAA. 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 Marine — Tides, Currents & Coastal Data MCP in Vercel AI SDK

Just install the `@ai-sdk/mcp` package and point the `createMCPClient` to your Vinkius endpoint URL. Pass the tools to `generateText` or `streamText`. Your agent can then call tools like `get_tide_predictions` directly from your Next.js app.

Absolutely. Your agent calls `get_water_levels` and the AI SDK streams the results. You can use this stream to update a chart component in real-time, showing users the latest tide information without a page refresh.

You can get quite a bit. For any given NOAA CO-OPS station ID, you can pull current water levels, tide predictions, water temperature, and meteorological data like wind and air pressure. Some stations even provide live ocean current data.

No, it's much more than that. Besides tides and water levels, you get tools for ocean currents, water temperature, coastal weather, and even long-term sea level rise trends. It's a full oceanographic data toolkit.

Your requests, which contain NOAA station IDs, are processed in an ephemeral, sandboxed environment on Vinkius. Your Vinkius endpoint token is the only credential needed. The connection is stateless and no request data is stored after the job is done.

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