Weather (Open-Meteo) MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Weather (Open-Meteo) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Weather (Open-Meteo), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Weather (Open-Meteo) MCP Server
Connect to Open-Meteo and empower your AI agent with high-precision meteorological data through natural conversation. This server provides comprehensive weather insights for any location on Earth without requiring complex API configurations.
The Vercel AI SDK gives every Weather (Open-Meteo) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Current Conditions — Retrieve real-time temperature, humidity, wind speed, and precipitation for any city
- Precise Forecasts — Get 7-day daily forecasts or detailed 24-hour hourly breakdowns to plan your activities
- Air Quality — Monitor US AQI levels and dominant pollutants (PM2.5, PM10, Ozone) with health recommendations
- Weather Alerts — Receive critical notifications for severe weather conditions like storms, heavy snow, or high UV levels
- City Comparisons — Compare weather conditions between two different cities to help with travel or logistics planning
- Best Time Analysis — Find the optimal window for outdoor activities based on temperature and precipitation thresholds
- Global Coverage — Seamlessly geocode any city name into coordinates for instant weather retrieval
The Weather (Open-Meteo) MCP Server exposes 7 tools through the Vinkius. Connect it to Vercel AI SDK 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 Weather (Open-Meteo) to Vercel AI SDK via MCP
Follow these steps to integrate the Weather (Open-Meteo) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from Weather (Open-Meteo) and passes them to the LLM
Why Use Vercel AI SDK with the Weather (Open-Meteo) MCP Server
Vercel AI SDK provides unique advantages when paired with Weather (Open-Meteo) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Weather (Open-Meteo) integration everywhere
Built-in streaming UI primitives let you display Weather (Open-Meteo) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Weather (Open-Meteo) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Weather (Open-Meteo) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Weather (Open-Meteo) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Weather (Open-Meteo) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Weather (Open-Meteo) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Weather (Open-Meteo) through natural language queries
Weather (Open-Meteo) MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Weather (Open-Meteo) to Vercel AI SDK via MCP:
weather.air_quality
Always display the health_recommendation from the result. AQI scale: 0-50=Good, 51-100=Moderate, 101-150=Unhealthy for Sensitive Groups, 151-200=Unhealthy, 201-300=Very Unhealthy, 301+=Hazardous. Get current air quality index (AQI), PM2.5, PM10, ozone, and NO2 for any city
weather.alerts
Alerts are computed from current conditions and the 7-day forecast. Returns an empty list if no significant conditions are detected. Get active weather alerts and advisories for any city, derived from forecast data
weather.best_time
This tool analyses hourly data for 72 hours and scores each 3-hour window using activity-specific criteria. Supports activities: general, hiking, beach, cycling, running, outdoor_work, photography, picnic. Always show the tip from the top-ranked window. Find the best time windows in the next 72 hours to do an outdoor activity in any city, with a comfort score
weather.compare
g. "which city has better weather?", "should I go to Lisbon or Madrid this weekend?", "compare weather in NYC, London, and Tokyo"). Accepts 2 to 5 cities. Computes a comfort score for each and highlights the best option. Compare current weather conditions across multiple cities side by side, with comfort scores
weather.current
Accept natural language city names (e.g. "São Paulo", "New York", "Paris, France"). Do NOT use for forecasts — use weather.forecast for that. Get current weather conditions for any city in the world
weather.forecast
Default to 7 days if the user does not specify. Max 14 days. For today's hour-by-hour breakdown, use weather.hourly instead. Get a multi-day weather forecast (1–14 days) for any city in the world
weather.hourly
Always covers the next 24 hours from now. For multi-day overview, use weather.forecast instead. Get an hour-by-hour weather forecast for the next 24 hours for any city
Example Prompts for Weather (Open-Meteo) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Weather (Open-Meteo) immediately.
"What's the weather like in Tokyo right now?"
"Give me the 7-day forecast for London."
"Compare the weather between New York and Miami."
Troubleshooting Weather (Open-Meteo) MCP Server with Vercel AI SDK
Common issues when connecting Weather (Open-Meteo) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWeather (Open-Meteo) + Vercel AI SDK FAQ
Common questions about integrating Weather (Open-Meteo) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Weather (Open-Meteo) 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Weather (Open-Meteo) to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.