Why choose the Full server instead of individual ones?

The Full server bundles **all 15 tools** from all 7 domain-specific servers into a single integration. Perfect for multi-disciplinary AI agents that need weather, climate, marine, air quality, flood, and location data without managing multiple connections.

Open-Meteo Full Access MCP Server for Pydantic AI 15 tools — connect in under 2 minutes

Name: Open-Meteo Full Access
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 15 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Open-Meteo Full Access through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

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Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Open-Meteo Full Access "
            "(15 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Open-Meteo Full Access?"
    )
    print(result.data)

asyncio.run(main())

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About Open-Meteo Full Access MCP Server

The definitive Mega-Server for weather and climate intelligence. Why install 7 servers when one does it all?

Pydantic AI validates every Open-Meteo Full Access tool response against typed schemas, catching data inconsistencies at build time. Connect 15 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Live Weather — 16-day forecast + current conditions for any GPS coordinate
84 Years of History — Hourly weather archives from 1940 to today
Ocean Intelligence — Wave height, swell, currents, sea surface temperature at 5km
Air Safety — PM2.5, PM10, O₃, pollen counts, European & US AQI
Climate Future — IPCC projections to 2100 + ensemble probabilistic forecasts
Flood Risk — GloFAS river discharge with 40 years of reanalysis + 7 months forward
Location Tools — Global geocoding and 90m terrain elevation

The Open-Meteo Full Access MCP Server exposes 15 tools through the Vinkius. Connect it to Pydantic 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 Open-Meteo Full Access to Pydantic AI via MCP

Follow these steps to integrate the Open-Meteo Full Access MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 15 tools from Open-Meteo Full Access with type-safe schemas

Why Use Pydantic AI with the Open-Meteo Full Access MCP Server

Pydantic AI provides unique advantages when paired with Open-Meteo Full Access through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Open-Meteo Full Access integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Open-Meteo Full Access connection logic from agent behavior for testable, maintainable code

Open-Meteo Full Access + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Open-Meteo Full Access MCP Server delivers measurable value.

Type-safe data pipelines: query Open-Meteo Full Access with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Open-Meteo Full Access tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Open-Meteo Full Access and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Open-Meteo Full Access responses and write comprehensive agent tests

Open-Meteo Full Access MCP Tools for Pydantic AI (15)

These 15 tools become available when you connect Open-Meteo Full Access to Pydantic AI via MCP:

get_air_quality

5, PM10, ozone, NO2, SO2, CO concentrations. Get air quality pollutant concentrations

get_aqi_index

Get AQI (European and US standards)

get_climate_projection

Get IPCC climate projections (2015–2100)

get_current_weather

Get current weather conditions

get_elevation

Get terrain elevation for any coordinates

get_ensemble_forecast

Get probabilistic multi-model ensemble forecast

get_flood_forecast

Get flood forecast up to 7 months ahead

get_historical_daily

Get historical daily aggregates

get_historical_weather

Covers 84 years. Get historical weather (1940–present)

get_marine_forecast

Get marine wave forecast at 5km resolution

get_ocean_currents

Get ocean currents and sea surface temperature

get_pollen_forecast

Get pollen and allergen forecast

get_river_discharge

Get river discharge data at 5km resolution

get_weather_forecast

Get weather forecast for any location (up to 16 days)

search_location

Search cities and locations globally

Example Prompts for Open-Meteo Full Access in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Open-Meteo Full Access immediately.

"Full weather briefing for a yacht trip from Lisbon to Madeira next week"

"Climate risk assessment for a new data center in Singapore"

"What was the weather like on the day I was born? July 15, 1990 in Rome"

Troubleshooting Open-Meteo Full Access MCP Server with Pydantic AI

Common issues when connecting Open-Meteo Full Access to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Open-Meteo Full Access + Pydantic AI FAQ

Common questions about integrating Open-Meteo Full Access MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your Open-Meteo Full Access MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.