How accurate are the wave forecasts?

Wave data is sourced from **ECMWF WAM, DWD EWAM, and NCEP GFS Wave** models at 5km resolution. Accuracy is excellent for open ocean but limited near coastlines due to resolution constraints.

Open-Meteo Marine Weather MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes

Name: Open-Meteo Marine Weather
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 3 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Open-Meteo Marine Weather through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Open-Meteo Marine Weather Assistant",
            instructions=(
                "You help users interact with Open-Meteo Marine Weather. "
                "You have access to 3 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Open-Meteo Marine Weather"
        )
        print(result.final_output)

asyncio.run(main())

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About Open-Meteo Marine Weather MCP Server

Turn your AI agent into a maritime weather specialist with real-time ocean data at 5km resolution.

The OpenAI Agents SDK auto-discovers all 3 tools from Open-Meteo Marine Weather through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Open-Meteo Marine Weather, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Wave Forecasts — Wave height, period, direction, plus wind-wave and swell components separated
Ocean Currents — Current velocity, direction, and sea surface temperature
Daily Marine Summary — Max wave height, dominant wave direction, and dominant period aggregated daily

The Open-Meteo Marine Weather MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents 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 Open-Meteo Marine Weather to OpenAI Agents SDK via MCP

Follow these steps to integrate the Open-Meteo Marine Weather MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 3 tools from Open-Meteo Marine Weather

Why Use OpenAI Agents SDK with the Open-Meteo Marine Weather MCP Server

OpenAI Agents SDK provides unique advantages when paired with Open-Meteo Marine Weather through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Open-Meteo Marine Weather + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Open-Meteo Marine Weather MCP Server delivers measurable value.

Automated workflows: build agents that query Open-Meteo Marine Weather, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Open-Meteo Marine Weather, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Open-Meteo Marine Weather tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Open-Meteo Marine Weather to resolve tickets, look up records, and update statuses without human intervention

Open-Meteo Marine Weather MCP Tools for OpenAI Agents SDK (3)

These 3 tools become available when you connect Open-Meteo Marine Weather to OpenAI Agents SDK via MCP:

get_daily_marine

Get daily marine weather summary

get_marine_forecast

Provides hourly forecast data for maritime planning. Get marine wave forecast at 5km resolution

get_ocean_currents

Get ocean current velocity and sea surface temperature

Example Prompts for Open-Meteo Marine Weather in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Open-Meteo Marine Weather immediately.

"What are the wave conditions off the coast of Hawaii right now?"

"Is it safe to sail across the English Channel tomorrow?"

"What's the maximum wave height expected in the North Sea this week?"

Troubleshooting Open-Meteo Marine Weather MCP Server with OpenAI Agents SDK

Common issues when connecting Open-Meteo Marine Weather to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Open-Meteo Marine Weather + OpenAI Agents SDK FAQ

Common questions about integrating Open-Meteo Marine Weather MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.