OpenWeather MCP Server for Mastra AI 11 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect OpenWeather through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"openweather": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "OpenWeather Agent",
instructions:
"You help users interact with OpenWeather " +
"using 11 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with OpenWeather?"
);
console.log(result.text);
}
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 OpenWeather MCP Server
Connect to OpenWeather APIs and access global weather data through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and OpenWeather tool infrastructure. Connect 11 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.
What you can do
- Current Weather — Get real-time temperature, humidity, wind, pressure, visibility and conditions for any location
- Hourly Forecast — 48-hour hourly forecast with temperature, precipitation probability and UV index
- Daily Forecast — Up to 16-day daily forecast with min/max temperatures and weather descriptions
- Weather Alerts — Active severe weather warnings and alerts for any location
- Air Quality — Current AQI and 4-day forecast with pollutant concentrations (PM2.5, PM10, O3, NO2, CO)
- Historical Weather — Weather conditions for any past date
- Sun Times — Sunrise and sunset times for any location
- Geocoding — Convert city names to coordinates and vice versa
The OpenWeather MCP Server exposes 11 tools through the Vinkius. Connect it to Mastra 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 OpenWeather to Mastra AI via MCP
Follow these steps to integrate the OpenWeather MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 11 tools from OpenWeather via MCP
Why Use Mastra AI with the OpenWeather MCP Server
Mastra AI provides unique advantages when paired with OpenWeather through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add OpenWeather without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every OpenWeather tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
OpenWeather + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the OpenWeather MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query OpenWeather, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed OpenWeather as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query OpenWeather on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using OpenWeather tools alongside other MCP servers
OpenWeather MCP Tools for Mastra AI (11)
These 11 tools become available when you connect OpenWeather to Mastra AI via MCP:
geocode
Returns the top 5 matching locations with their coordinates, country codes and state names. Use these coordinates with other weather tools. Convert a city name to coordinates
get_air_quality
5, PM10, O3, NO2, SO2, CO, NH3). AQI scale: 1=Good, 2=Fair, 3=Moderate, 4=Poor, 5=Very Poor. Requires lat/lon coordinates. Get current air quality index for a location
get_air_quality_forecast
Each data point includes AQI level (1-5 scale) and concentrations of PM2.5, PM10, O3, NO2, SO2, CO and NH3. Get 4-day air quality forecast for a location
get_current_weather
Requires either city name (e.g. "London", "São Paulo") or latitude/longitude coordinates. Get current weather conditions for a location
get_daily_forecast
Each day includes min/max temperature, humidity, wind, UV index, precipitation probability and weather description. Requires lat/lon coordinates. Get daily weather forecast for up to 16 days
get_forecast
Each data point includes temperature, humidity, wind, pressure and weather description. Optionally set the number of days (1-5). Requires either city name or lat/lon. Get 5-day/3-hour weather forecast
get_historical_weather
Returns temperature, humidity, wind, pressure and weather description for the requested date. Requires lat/lon and date in YYYY-MM-DD format. Get historical weather data for a specific date
get_hourly_forecast
Each hour includes temperature, humidity, wind, UV index, precipitation probability and weather description. Requires lat/lon coordinates. Use geocode to find coordinates for a city name. Get hourly weather forecast using One Call API
get_sun_times
Returns the exact times and the sun's elevation angle at sunrise/sunset. Requires lat/lon coordinates. Get sunrise and sunset times for a location
get_weather_alerts
Returns alert type, severity, description, start and end times. Requires lat/lon coordinates. Useful for monitoring severe weather conditions. Get active weather alerts for a location
reverse_geocode
Returns the city, state, country and postal code for the given coordinates. Convert coordinates to a city name
Example Prompts for OpenWeather in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with OpenWeather immediately.
"What's the current weather in São Paulo?"
"What's the 7-day forecast for Tokyo?"
"Is the air quality good in Beijing right now?"
Troubleshooting OpenWeather MCP Server with Mastra AI
Common issues when connecting OpenWeather to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOpenWeather + Mastra AI FAQ
Common questions about integrating OpenWeather MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
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?
Does Mastra support workflow orchestration?
Connect OpenWeather with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 OpenWeather to Mastra AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.