How to Use the Weather (Open-Meteo) MCP in Pydantic AI

Q: How can I get current conditions using Weather (Open-Meteo) and Pydantic AI?

Use weather.current with any city name, like 'New York' or 'Paris.' Your agent receives validated, real-time data immediately.

Q: What kind of weather alerts can I process with Weather (Open-Meteo) using Pydantic AI?

The weather.alerts tool checks for active advisories from the forecast. It validates that whether or not there are warnings, the data structure remains correct.

Q: Does Weather (Open-Meteo) handle multi-city comparisons with Pydantic AI?

Yes, weather.compare accepts 2 to 5 cities and computes a comfort score for each one. This MCP Server delivers the comparison data in a predictable format.

Q: If I need a long forecast with Weather (Open-Meteo) and Pydantic AI?

Use weather.forecast for the multi-day view, or if you only need today's breakdown, use weather.hourly for granular data.

Process reliable weather data and forecasts using Pydantic AI's rigorous validation.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Weather (Open-Meteo) MCP to Pydantic AI

Create your Vinkius account to connect Weather (Open-Meteo) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Weather (Open-Meteo) with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get current conditions with the MCP Server

Need to know what's happening right now? `weather.current` accepts any natural language city name and gets you real-time weather data for that location. The response structure is rock solid. Because of Pydantic AI, if the API sends back a weird field, your agent fails loudly with an error—no silent corruption.

Determine best outdoor activity times

Planning a trip requires timing. `weather.best_time` analyzes 72 hours of data and gives you the top-ranked three-hour window for activities like running or photography. It's super specific. This means your agent can schedule complex tasks knowing exactly when conditions peak.

Get hourly weather detail

For deep dives, use `weather.hourly`. This tool gives you an hour-by-hour forecast for the next 24 hours in any city. The structured nature of this data makes it perfect for Pydantic validation. It ensures that every piece of weather information—temperature, chance of rain, etc.—is exactly what your agent expects.

Setup guide

Set up Weather (Open-Meteo) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "weather-open-meteo-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Weather (Open-Meteo) tools.",
)

result = await agent.run("List recent Weather (Open-Meteo) transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Open-Meteo. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Weather (Open-Meteo) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Weather (Open-Meteo) MCP in Pydantic AI

Use `weather.current` with any city name, like 'New York' or 'Paris.' Your agent receives validated, real-time data immediately.

The `weather.alerts` tool checks for active advisories from the forecast. It validates that whether or not there are warnings, the data structure remains correct.

Yes, `weather.compare` accepts 2 to 5 cities and computes a comfort score for each one. This MCP Server delivers the comparison data in a predictable format.

This MCP Server touches public, real-time atmospheric data (AQI, temperature, precipitation). The system only reads weather information; no private user records are involved.

Use `weather.forecast` for the multi-day view, or if you only need today's breakdown, use `weather.hourly` for granular data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python