How to Use the Weatherbit MCP in Pydantic AI

Q: Can I check current conditions using Weatherbit and Pydantic AI?

Yes. You can use getcurrentweather for immediate metrics like temperature and visibility. Since Pydantic AI enforces typing, your agent can rely on the data structure being correct every single time.

Q: What types of alerts are available with Weatherbit and Pydantic AI?

The getweatheralerts tool returns alert type, severity, descriptions, and effective/expiry times. These structured fields mean your agent can process the threat level without ambiguity.

Q: What metrics does Weatherbit provide for air quality?

The getairquality tool provides specific pollutant concentrations like PM2.5, PM10, O3, NO2, and SO2. The structured nature of the MCP Server makes this data easy to ingest into your Python code.

Validate global weather data with Pydantic AI using the Weatherbit MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Weatherbit MCP to Pydantic AI

Create your Vinkius account to connect Weatherbit 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 Weatherbit with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Get structured air quality reports.

The `get_air_quality` tool returns a strict, validated output including AQI score, PM2.5, and concentrations for key pollutants (O3, NO2). This guarantees that your agent receives clean data to work with. If you're dealing with environmental modeling, the structured nature of this MCP Server ensures that all returned metrics are type-safe.

Retrieve precise weather forecasts.

The `get_forecast_daily` tool delivers daily predictions for high/low temperatures and precipitation probability. The Pydantic AI framework validates these fields, so you never get a malformed date or missing metric. For more detail, `get_forecast_hourly` gives temperature, wind, and cloud cover hour-by-hour, all validated against expected schemas.

Access historical data reliably.

The `get_historical_weather` tool retrieves metrics for the past 30 years. Because Pydantic AI validates every response, you know exactly what structure to expect—whether it's temperature or wind humidity. It also allows retrieval of severe weather reports via `get_severe_weather`, guaranteeing that alert fields and affected areas are correctly typed.

Setup guide

Set up Weatherbit 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": {
        "weatherbit-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Weatherbit 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 Weatherbit. 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 Weatherbit 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 Weatherbit MCP in Pydantic AI

The MCP Server provides the raw data, but Pydantic AI ensures that every response is validated against a defined schema at runtime. If the weather API sends bad data, your agent fails loudly—it doesn't corrupt anything.

Yes. You can use `get_current_weather` for immediate metrics like temperature and visibility. Since Pydantic AI enforces typing, your agent can rely on the data structure being correct every single time.

The `get_weather_alerts` tool returns alert type, severity, descriptions, and effective/expiry times. These structured fields mean your agent can process the threat level without ambiguity.

The `get_air_quality` tool provides specific pollutant concentrations like PM2.5, PM10, O3, NO2, and SO2. The structured nature of the MCP Server makes this data easy to ingest into your Python code.

This server touches highly specific weather metrics: air quality indices (AQI), temperature ranges, wind speed/direction, precipitation probabilities, and historical atmospheric readings.

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

Vercel AI SDK sdk-typescript