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

Build resilient marine telemetry workflows that handle API failures automatically using Mastra AI.

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Connect NOAA Tides & Currents API MCP to Mastra AI

Create your Vinkius account to connect NOAA Tides & Currents API to Mastra AI 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 Mastra AI

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Resilient MCP Server Workflows

Coastal monitoring pipelines break when external sensors drop off the grid. You need a setup that expects failure and handles it. Connecting this MCP Server to your workflow engine gives your agents the ability to retry failed telemetry pulls automatically. Set up a condition that fires `check_api_status` first. If the endpoint returns errors, the framework backs off exponentially before attempting another read.

Automate Tide Prediction Logic

Shipping schedules require exact timing. A five-minute delay in data retrieval throws off port arrival calculations. Your agent handles the scheduling logic while the server handles the raw data extraction. Use `get_tide_predictions` to map out the high and low water marks for the next 24 hours. Combine that with `get_water_levels` to verify if the real-time depth matches the forecast.

Monitor Station Temperatures

Sudden shifts in air or water temperature often signal incoming weather events. Hardcoding these checks is tedious. Let your agent poll the stations on a set interval instead. The `get_air_temperature` and `get_water_temperature` tools pull exact Celsius or Fahrenheit readings from specific buoys. If the delta exceeds your threshold, your workflow triggers an alert.

Setup guide

Set up NOAA Tides & Currents API MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All NOAA Tides & Currents API tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "noaa-tides-currents-api-mcp-client",
  servers: {
    "noaa-tides-currents-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "NOAA Tides & Currents API Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to NOAA Tides & Currents API tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent NOAA Tides & Currents API transactions"
);
console.log(result.text);

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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 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 Mastra AI

Initialize the MCPClient with your Vinkius server URL. Call listTools and spread the result into your agent's tool array.

It does. The framework's built-in engine handles exponential backoff automatically if the station endpoint times out.

You get all five. Your agent can check status, pull water levels, fetch tide predictions, and read temperatures natively.

Yes. You can require approval before the agent acts on the fetched telemetry, though reading public weather data rarely requires it.

The server processes station IDs and returns public atmospheric metrics. We execute everything in an ephemeral V8 Isolate Sandbox, meaning no request history or payload data persists after the workflow completes.

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