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 Google ADK 3 tools — connect in under 2 minutes

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

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 3 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Open-Meteo Marine Weather as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="open_meteo_marine_weather_agent",
    instruction=(
        "You help users interact with Open-Meteo Marine Weather "
        "using 3 available tools."
    ),
    tools=[mcp_tools],
)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

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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.

Google ADK natively supports Open-Meteo Marine Weather as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Open-Meteo Marine Weather MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

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

Why Use Google ADK with the Open-Meteo Marine Weather MCP Server

Google ADK provides unique advantages when paired with Open-Meteo Marine Weather through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Open-Meteo Marine Weather

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Open-Meteo Marine Weather tools with BigQuery, Vertex AI, and Cloud Functions

Open-Meteo Marine Weather + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Open-Meteo Marine Weather MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Open-Meteo Marine Weather and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Open-Meteo Marine Weather tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Open-Meteo Marine Weather regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Open-Meteo Marine Weather

Open-Meteo Marine Weather MCP Tools for Google ADK (3)

These 3 tools become available when you connect Open-Meteo Marine Weather to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Open-Meteo Marine Weather to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Open-Meteo Marine Weather + Google ADK FAQ

Common questions about integrating Open-Meteo Marine Weather MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.