Open-Meteo Historical Weather MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Open-Meteo Historical Weather through 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 Historical Weather, 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 Historical Weather MCP Server
Access 84 years of continuous weather records from 1940 to today for any location on Earth.
The Vercel AI SDK gives every Open-Meteo Historical Weather tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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
- Historical Hourly — Temperature, humidity, precipitation, snowfall, weather codes, and wind for any past date range
- Historical Daily — Max/min temperatures, precipitation totals, sunshine duration, and dominant wind patterns
- Temperature Trends — Dedicated tool for long-term climate trend analysis with apparent temperature data
The Open-Meteo Historical Weather MCP Server exposes 3 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 Historical Weather to Vercel AI SDK via MCP
Follow these steps to integrate the Open-Meteo Historical Weather 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 3 tools from Open-Meteo Historical Weather and passes them to the LLM
Why Use Vercel AI SDK with the Open-Meteo Historical Weather MCP Server
Vercel AI SDK provides unique advantages when paired with Open-Meteo Historical Weather 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 Historical Weather integration everywhere
Built-in streaming UI primitives let you display Open-Meteo Historical Weather 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 Historical Weather + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Open-Meteo Historical Weather MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Open-Meteo Historical Weather in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Open-Meteo Historical Weather tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Open-Meteo Historical Weather capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Open-Meteo Historical Weather through natural language queries
Open-Meteo Historical Weather MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect Open-Meteo Historical Weather to Vercel AI SDK via MCP:
get_historical_daily
Get historical daily weather aggregates
get_historical_temperature
Includes hourly temperature, apparent temperature, and dewpoint. Get historical temperature trends for climate analysis
get_historical_weather
Provide latitude, longitude, start_date and end_date in YYYY-MM-DD format. Covers 84 years of global data. Get historical weather for any date range (1940–present)
Example Prompts for Open-Meteo Historical Weather in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Open-Meteo Historical Weather immediately.
"What was the weather in London on D-Day, June 6, 1944?"
"Compare average temperatures in São Paulo between 1950 and 2020"
"How much rain fell in Mumbai during the 2005 flood?"
Troubleshooting Open-Meteo Historical Weather MCP Server with Vercel AI SDK
Common issues when connecting Open-Meteo Historical Weather to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOpen-Meteo Historical Weather + Vercel AI SDK FAQ
Common questions about integrating Open-Meteo Historical Weather 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 Historical Weather with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Historical Weather to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.