Open-Meteo Weather Forecast MCP Server for Mastra AI 4 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Open-Meteo Weather Forecast through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
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: {
"open-meteo-weather-forecast": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Open-Meteo Weather Forecast Agent",
instructions:
"You help users interact with Open-Meteo Weather Forecast " +
"using 4 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Open-Meteo Weather Forecast?"
);
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 Open-Meteo Weather Forecast MCP Server
Connect your AI agent to the world's most comprehensive open weather API — no API key, no registration, no rate-limit headaches.
Mastra's agent abstraction provides a clean separation between LLM logic and Open-Meteo Weather Forecast tool infrastructure. Connect 4 tools through the 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
- 16-Day Forecast — Hourly and daily predictions with temperature, precipitation probability, wind, humidity, UV index, and weather codes
- Current Conditions — Real-time snapshot including apparent temperature, cloud cover, wind gusts, and precipitation status
- Hourly Granularity — Dewpoint, visibility, snow depth, solar radiation, evapotranspiration, and CAPE convective index
- Daily Summaries — Max/min temperature, sunrise/sunset times, sunshine duration, and dominant wind direction
The Open-Meteo Weather Forecast MCP Server exposes 4 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 Open-Meteo Weather Forecast to Mastra AI via MCP
Follow these steps to integrate the Open-Meteo Weather Forecast 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 4 tools from Open-Meteo Weather Forecast via MCP
Why Use Mastra AI with the Open-Meteo Weather Forecast MCP Server
Mastra AI provides unique advantages when paired with Open-Meteo Weather Forecast through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Open-Meteo Weather Forecast 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 Open-Meteo Weather Forecast 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
Open-Meteo Weather Forecast + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Open-Meteo Weather Forecast MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Open-Meteo Weather Forecast, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Open-Meteo Weather Forecast as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Open-Meteo Weather Forecast on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Open-Meteo Weather Forecast tools alongside other MCP servers
Open-Meteo Weather Forecast MCP Tools for Mastra AI (4)
These 4 tools become available when you connect Open-Meteo Weather Forecast to Mastra AI via MCP:
get_current_weather
Provide latitude and longitude. Get current weather conditions for any location
get_daily_summary
Get daily weather summary with sunrise/sunset
get_hourly_details
Get detailed hourly weather data
get_weather_forecast
Provide latitude and longitude coordinates. Get weather forecast for any location (up to 16 days)
Example Prompts for Open-Meteo Weather Forecast in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Open-Meteo Weather Forecast immediately.
"What's the weather forecast for Tokyo this week?"
"What are the current weather conditions in New York?"
"Will it snow in Munich in the next 10 days?"
Troubleshooting Open-Meteo Weather Forecast MCP Server with Mastra AI
Common issues when connecting Open-Meteo Weather Forecast to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpOpen-Meteo Weather Forecast + Mastra AI FAQ
Common questions about integrating Open-Meteo Weather Forecast 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 Open-Meteo Weather Forecast with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Open-Meteo Weather Forecast to Mastra AI
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.