Bring Meteorology
to Pydantic AI
Learn how to connect OpenWeatherMap to Pydantic AI and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the OpenWeatherMap MCP Server?
Connect OpenWeatherMap to your AI agent to get instant access to global meteorological data. Whether you're planning travel, monitoring environmental conditions, or building weather-aware automations, this server provides the precise data you need.
What you can do
- Current Conditions — Get live temperature, humidity, wind speed, and weather descriptions for any city or coordinate via
get_current_weather. - Extended Forecasts — Access 5-day/3-hour forecasts with
get_forecastor use the One Call 3.0 API for 48-hour hourly and 8-day daily projections viaget_onecall. - Air Quality Monitoring — Retrieve real-time pollution data including PM2.5, PM10, CO, and Ozone levels using
get_air_pollution. - Geocoding Services — Seamlessly convert city names to coordinates with
direct_geocodingand vice versa withreverse_geocodingto power location-based queries.
How it works
- Subscribe to this server
- Enter your OpenWeatherMap API Key
- Ask about weather or air quality in any location from Claude, Cursor, or any MCP client
Who is this for?
- Travelers & Logistics — Check conditions at destinations or along routes to optimize schedules.
- Developers — Integrate weather context into apps and workflows without leaving your code editor.
- Environmental Researchers — Monitor air quality and weather patterns across different coordinates instantly.
Built-in capabilities (6)
Convert city names or zip codes into coordinates
5, PM10, and NH3. Get current air pollution data
Get current weather data
Get 5 Day / 3 Hour Forecast
Get One Call API 3.0 weather data
Convert coordinates into city names
Why Pydantic AI?
Pydantic AI validates every OpenWeatherMap tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through 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.
- —
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 OpenWeatherMap integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your OpenWeatherMap connection logic from agent behavior for testable, maintainable code
OpenWeatherMap in Pydantic AI
OpenWeatherMap and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect OpenWeatherMap to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for OpenWeatherMap in Pydantic AI
The OpenWeatherMap 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
OpenWeatherMap for Pydantic AI
Every tool call from Pydantic AI to the OpenWeatherMap MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I get a comprehensive weather report including hourly and daily forecasts?
Use the get_onecall tool with latitude and longitude. It provides current data, 48-hour hourly forecasts, and 8-day daily forecasts in a single request.
Can I check the air quality for a specific location?
Yes, the get_air_pollution tool returns real-time data for pollutants including CO, NO2, O3, and particulate matter (PM2.5/PM10) for any coordinates.
How do I find coordinates for a city name to use with the weather tools?
Use the direct_geocoding tool. Simply provide the city name (and optionally state/country), and it will return the latitude and longitude needed for tools like get_onecall.
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 OpenWeatherMap MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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