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Storm Glass Marine & Weather MCP Server for Mastra AI 3 tools — connect in under 2 minutes

Built by Vinkius GDPR 3 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Storm Glass Marine & Weather through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "storm-glass-marine-weather": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Storm Glass Marine & Weather Agent",
    instructions:
      "You help users interact with Storm Glass Marine & Weather " +
      "using 3 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Storm Glass Marine & Weather?"
  );
  console.log(result.text);
}

main();
Storm Glass Marine & Weather
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Storm Glass Marine & Weather MCP Server

Equip your AI agent with high-resolution global weather and marine intelligence through the Storm Glass MCP server. This integration provides real-time and forecast data from the world's leading meteorological institutions (NOAA, MET Office, DWD, and more). Your agent can retrieve precise marine weather (wave height, swell, water temp), tide extremes, astronomical data (sun/moon), and oceanic bio data (chlorophyll, iron levels). Whether you are planning offshore operations, maritime shipping, or researching environmental trends, your agent acts as a dedicated oceanographer and meteorologist through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Storm Glass Marine & Weather tool infrastructure. Connect 3 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

What you can do

  • Marine Point Forecasts — Retrieve detailed wave and water data for any coordinate on Earth.
  • Tide Intelligence — Fetch high and low tide times and heights for coastal planning.
  • Astronomical Insights — Access sunrise, sunset, moon phases, and moonrise data.
  • Oceanic Bio Data — Monitor chlorophyll and nutrient levels for environmental studies.

The Storm Glass Marine & Weather MCP Server exposes 3 tools through the Vinkius. Connect it to Mastra AI 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 Storm Glass Marine & Weather to Mastra AI via MCP

Follow these steps to integrate the Storm Glass Marine & Weather MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 3 tools from Storm Glass Marine & Weather via MCP

Why Use Mastra AI with the Storm Glass Marine & Weather MCP Server

Mastra AI provides unique advantages when paired with Storm Glass Marine & Weather through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Storm Glass Marine & Weather without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Storm Glass Marine & Weather tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Storm Glass Marine & Weather + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Storm Glass Marine & Weather MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Storm Glass Marine & Weather, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Storm Glass Marine & Weather as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Storm Glass Marine & Weather on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Storm Glass Marine & Weather tools alongside other MCP servers

Storm Glass Marine & Weather MCP Tools for Mastra AI (3)

These 3 tools become available when you connect Storm Glass Marine & Weather to Mastra AI via MCP:

01

get_astronomy_data

Get sun and moon data

02

get_marine_weather

) for a specific coordinate. Get marine weather for a location

03

get_tide_extremes

Get tide extremes for a location

Example Prompts for Storm Glass Marine & Weather in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Storm Glass Marine & Weather immediately.

01

"Check the wave height and water temp for Honolulu (21.3069, -157.8583)."

02

"What are the high and low tide times for London Bridge today?"

03

"Get the current sunrise and moon phase for Rio de Janeiro."

Troubleshooting Storm Glass Marine & Weather MCP Server with Mastra AI

Common issues when connecting Storm Glass Marine & Weather to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Storm Glass Marine & Weather + Mastra AI FAQ

Common questions about integrating Storm Glass Marine & Weather MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Storm Glass Marine & Weather to Mastra AI

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.