Open-Meteo Full Access MCP Server for Vercel AI SDK 15 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Open-Meteo Full Access through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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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 Open-Meteo Full Access, 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 Open-Meteo Full Access MCP Server
The definitive Mega-Server for weather and climate intelligence. Why install 7 servers when one does it all?
The Vercel AI SDK gives every Open-Meteo Full Access tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 15 tools through the 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
- Live Weather — 16-day forecast + current conditions for any GPS coordinate
- 84 Years of History — Hourly weather archives from 1940 to today
- Ocean Intelligence — Wave height, swell, currents, sea surface temperature at 5km
- Air Safety — PM2.5, PM10, O₃, pollen counts, European & US AQI
- Climate Future — IPCC projections to 2100 + ensemble probabilistic forecasts
- Flood Risk — GloFAS river discharge with 40 years of reanalysis + 7 months forward
- Location Tools — Global geocoding and 90m terrain elevation
The Open-Meteo Full Access MCP Server exposes 15 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 Open-Meteo Full Access to Vercel AI SDK via MCP
Follow these steps to integrate the Open-Meteo Full Access 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 15 tools from Open-Meteo Full Access and passes them to the LLM
Why Use Vercel AI SDK with the Open-Meteo Full Access MCP Server
Vercel AI SDK provides unique advantages when paired with Open-Meteo Full Access 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 Open-Meteo Full Access integration everywhere
Built-in streaming UI primitives let you display Open-Meteo Full Access 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
Open-Meteo Full Access + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Open-Meteo Full Access MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Open-Meteo Full Access in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Open-Meteo Full Access tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Open-Meteo Full Access capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Open-Meteo Full Access through natural language queries
Open-Meteo Full Access MCP Tools for Vercel AI SDK (15)
These 15 tools become available when you connect Open-Meteo Full Access to Vercel AI SDK via MCP:
get_air_quality
5, PM10, ozone, NO2, SO2, CO concentrations. Get air quality pollutant concentrations
get_aqi_index
Get AQI (European and US standards)
get_climate_projection
Get IPCC climate projections (2015–2100)
get_current_weather
Get current weather conditions
get_elevation
Get terrain elevation for any coordinates
get_ensemble_forecast
Get probabilistic multi-model ensemble forecast
get_flood_forecast
Get flood forecast up to 7 months ahead
get_historical_daily
Get historical daily aggregates
get_historical_weather
Covers 84 years. Get historical weather (1940–present)
get_marine_forecast
Get marine wave forecast at 5km resolution
get_ocean_currents
Get ocean currents and sea surface temperature
get_pollen_forecast
Get pollen and allergen forecast
get_river_discharge
Get river discharge data at 5km resolution
get_weather_forecast
Get weather forecast for any location (up to 16 days)
search_location
Search cities and locations globally
Example Prompts for Open-Meteo Full Access in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Open-Meteo Full Access immediately.
"Full weather briefing for a yacht trip from Lisbon to Madeira next week"
"Climate risk assessment for a new data center in Singapore"
"What was the weather like on the day I was born? July 15, 1990 in Rome"
Troubleshooting Open-Meteo Full Access MCP Server with Vercel AI SDK
Common issues when connecting Open-Meteo Full Access to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOpen-Meteo Full Access + Vercel AI SDK FAQ
Common questions about integrating Open-Meteo Full Access 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 Open-Meteo Full Access 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 Open-Meteo Full Access to Vercel AI SDK
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.