Open-Meteo Flood & Rivers 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 Flood & Rivers 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 Open-Meteo Flood & Rivers, 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 Flood & Rivers MCP Server
Arm your AI with flood intelligence powered by the Global Flood Awareness System (GloFAS).
The Vercel AI SDK gives every Open-Meteo Flood & Rivers 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
- River Discharge — Real-time simulated river discharge in m³/s at 5km resolution
- Flood Forecast — Up to 7 months of forward river discharge predictions for early warning
- Historical Discharge — 40+ years of reanalysis data from 1984 for trend analysis
The Open-Meteo Flood & Rivers 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 Flood & Rivers to Vercel AI SDK via MCP
Follow these steps to integrate the Open-Meteo Flood & Rivers 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 Flood & Rivers and passes them to the LLM
Why Use Vercel AI SDK with the Open-Meteo Flood & Rivers MCP Server
Vercel AI SDK provides unique advantages when paired with Open-Meteo Flood & Rivers 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 Flood & Rivers integration everywhere
Built-in streaming UI primitives let you display Open-Meteo Flood & Rivers 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 Flood & Rivers + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Open-Meteo Flood & Rivers MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Open-Meteo Flood & Rivers in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Open-Meteo Flood & Rivers tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Open-Meteo Flood & Rivers capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Open-Meteo Flood & Rivers through natural language queries
Open-Meteo Flood & Rivers MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect Open-Meteo Flood & Rivers to Vercel AI SDK via MCP:
get_flood_forecast
Data from GloFAS covering up to 210 days of prediction. Get flood forecast up to 7 months ahead
get_historical_discharge
Get historical river discharge data (1984–present)
get_river_discharge
Useful for flood monitoring and water resource management. Get river discharge data at 5km resolution
Example Prompts for Open-Meteo Flood & Rivers in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Open-Meteo Flood & Rivers immediately.
"What's the current river discharge near Bangkok?"
"Is there flood risk along the Rhine River in the next 3 months?"
"Compare Danube River discharge in 2002 vs today"
Troubleshooting Open-Meteo Flood & Rivers MCP Server with Vercel AI SDK
Common issues when connecting Open-Meteo Flood & Rivers to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOpen-Meteo Flood & Rivers + Vercel AI SDK FAQ
Common questions about integrating Open-Meteo Flood & Rivers 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 Flood & Rivers 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 Flood & Rivers to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.