Compatible with every major AI agent and IDE
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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and OpenWeatherMap tool infrastructure. Connect 6 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add OpenWeatherMap without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every OpenWeatherMap tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
OpenWeatherMap in Mastra AI
OpenWeatherMap and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect OpenWeatherMap to Mastra 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 Mastra 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 Mastra 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 Mastra AI
Every tool call from Mastra 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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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