Weatherbit MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Weatherbit through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Weatherbit "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Weatherbit?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Weatherbit MCP Server
Connect to Weatherbit and access global weather data through natural conversation.
Pydantic AI validates every Weatherbit tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Current Weather — Get real-time conditions (temperature, humidity, wind, precipitation, UV) by coordinates or city name
- Daily Forecast — Get up to 16-day daily forecasts with high/low temps, precipitation, wind and UV
- Hourly Forecast — Get up to 10-day hourly forecasts with detailed conditions
- Historical Weather — Access 30+ years of historical daily weather data
- Weather Alerts — Get active severe weather warnings and watches
- Air Quality — Get AQI, PM2.5, PM10, O3, NO2, SO2 and CO readings
- Severe Weather — Query recent severe weather reports (tornadoes, hail, floods)
The Weatherbit MCP Server exposes 10 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 Weatherbit to Pydantic AI via MCP
Follow these steps to integrate the Weatherbit 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 10 tools from Weatherbit with type-safe schemas
Why Use Pydantic AI with the Weatherbit MCP Server
Pydantic AI provides unique advantages when paired with Weatherbit 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 Weatherbit integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Weatherbit connection logic from agent behavior for testable, maintainable code
Weatherbit + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Weatherbit MCP Server delivers measurable value.
Type-safe data pipelines: query Weatherbit with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Weatherbit tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Weatherbit and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Weatherbit responses and write comprehensive agent tests
Weatherbit MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Weatherbit to Pydantic AI via MCP:
get_air_quality
Returns AQI score, PM2.5, PM10, O3, NO2, SO2, CO concentrations and health recommendations. Get air quality index (AQI) by coordinates
get_current_weather
Returns temperature, feels like, humidity, wind speed/direction, precipitation, cloud cover, visibility, UV index, weather description and icon. Get current weather conditions by coordinates
get_current_weather_by_city
Returns temperature, feels like, humidity, wind, precipitation, cloud cover, visibility, UV index and weather description. Get current weather conditions by city name
get_forecast_daily
Returns daily high/low temperatures, weather conditions, precipitation probability, wind, humidity, UV index and sunrise/sunset times. Get daily weather forecast by coordinates
get_forecast_daily_by_city
Returns daily forecasts for up to 16 days ahead with temperatures, conditions, precipitation, wind and UV index. Get daily weather forecast by city name
get_forecast_hourly
Returns temperature, precipitation probability, wind, humidity, cloud cover and weather conditions for each hour. Get hourly weather forecast by coordinates
get_forecast_hourly_by_city
Returns hourly forecasts with temperature, precipitation, wind and conditions. Get hourly weather forecast by city name
get_historical_weather
Returns temperature, precipitation, wind, humidity and other metrics for dates in the past 30 years. Get historical weather data by coordinates
get_severe_weather
Useful for tracking recent severe weather activity. Query severe weather reports in a geographic area
get_weather_alerts
Returns alert type, severity, description, effective/expiry times and affected areas. Get active weather alerts by coordinates
Example Prompts for Weatherbit in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Weatherbit immediately.
"What's the weather in London today?"
"Give me the 5-day forecast for Tokyo."
"What's the air quality in São Paulo?"
Troubleshooting Weatherbit MCP Server with Pydantic AI
Common issues when connecting Weatherbit to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiWeatherbit + Pydantic AI FAQ
Common questions about integrating Weatherbit MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
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?
Can I switch LLM providers without changing MCP code?
Connect Weatherbit with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Weatherbit to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.