Weatherbit MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Weatherbit 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 Weatherbit, 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 Weatherbit MCP Server
Connect to Weatherbit and access global weather data through natural conversation.
The Vercel AI SDK gives every Weatherbit tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Current Weather — Get real-time conditions (temperature, humidity, wind, precipitation, UV) by coordinates or city name
- Daily Forecast — Get up to 16-day daily forecasts with high/low temps, precipitation, wind and UV
- Hourly Forecast — Get up to 10-day hourly forecasts with detailed conditions
- Historical Weather — Access 30+ years of historical daily weather data
- Weather Alerts — Get active severe weather warnings and watches
- Air Quality — Get AQI, PM2.5, PM10, O3, NO2, SO2 and CO readings
- Severe Weather — Query recent severe weather reports (tornadoes, hail, floods)
The Weatherbit MCP Server exposes 10 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 Weatherbit to Vercel AI SDK via MCP
Follow these steps to integrate the Weatherbit 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 10 tools from Weatherbit and passes them to the LLM
Why Use Vercel AI SDK with the Weatherbit MCP Server
Vercel AI SDK provides unique advantages when paired with Weatherbit 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 Weatherbit integration everywhere
Built-in streaming UI primitives let you display Weatherbit 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
Weatherbit + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Weatherbit MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Weatherbit in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Weatherbit tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Weatherbit capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Weatherbit through natural language queries
Weatherbit MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Weatherbit to Vercel AI SDK via MCP:
get_air_quality
Returns AQI score, PM2.5, PM10, O3, NO2, SO2, CO concentrations and health recommendations. Get air quality index (AQI) by coordinates
get_current_weather
Returns temperature, feels like, humidity, wind speed/direction, precipitation, cloud cover, visibility, UV index, weather description and icon. Get current weather conditions by coordinates
get_current_weather_by_city
Returns temperature, feels like, humidity, wind, precipitation, cloud cover, visibility, UV index and weather description. Get current weather conditions by city name
get_forecast_daily
Returns daily high/low temperatures, weather conditions, precipitation probability, wind, humidity, UV index and sunrise/sunset times. Get daily weather forecast by coordinates
get_forecast_daily_by_city
Returns daily forecasts for up to 16 days ahead with temperatures, conditions, precipitation, wind and UV index. Get daily weather forecast by city name
get_forecast_hourly
Returns temperature, precipitation probability, wind, humidity, cloud cover and weather conditions for each hour. Get hourly weather forecast by coordinates
get_forecast_hourly_by_city
Returns hourly forecasts with temperature, precipitation, wind and conditions. Get hourly weather forecast by city name
get_historical_weather
Returns temperature, precipitation, wind, humidity and other metrics for dates in the past 30 years. Get historical weather data by coordinates
get_severe_weather
Useful for tracking recent severe weather activity. Query severe weather reports in a geographic area
get_weather_alerts
Returns alert type, severity, description, effective/expiry times and affected areas. Get active weather alerts by coordinates
Example Prompts for Weatherbit in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Weatherbit immediately.
"What's the weather in London today?"
"Give me the 5-day forecast for Tokyo."
"What's the air quality in São Paulo?"
Troubleshooting Weatherbit MCP Server with Vercel AI SDK
Common issues when connecting Weatherbit to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWeatherbit + Vercel AI SDK FAQ
Common questions about integrating Weatherbit 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 Weatherbit with your favorite client
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GitHub Copilot in VS Code with Agent mode and MCP support.
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Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
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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 Weatherbit to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.