QWeather Ocean/Tide API MCP Server for Vercel AI SDK 2 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect QWeather Ocean/Tide API 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 QWeather Ocean/Tide API, 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 QWeather Ocean/Tide API MCP Server
Empower your AI agent to orchestrate your entire maritime research and oceanographic auditing workflow with the QWeather Ocean/Tide API, the specialized source for global tide data. By connecting QWeather's ocean intelligence to your agent, you transform complex water level searches into a natural conversation. Your agent can instantly retrieve real-time tide tables, audit high and low water peaks, and query specific location metadata without you ever touching a technical portal. Whether you are planning coastal logistics or conducting marine research, your agent acts as a real-time oceanographic consultant, ensuring your data is always verified and precise.
The Vercel AI SDK gives every QWeather Ocean/Tide API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 2 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
- Tide Auditing — Retrieve high-resolution tide tables for global locations and maintain a clear view of water level changes.
- Peak Oversight — Audit high and low water times and heights to understand the temporal distribution of maritime scale instantly.
- Geographic Discovery — Query tide data by location ID or coordinates to maintain strict organizational control over regional data.
- Ocean Intelligence — Retrieve detailed oceanographic metadata to assist in deep-dive coastal classification.
- Operational Monitoring — Check API status to ensure your maritime research workflow is always operational.
The QWeather Ocean/Tide API MCP Server exposes 2 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 QWeather Ocean/Tide API to Vercel AI SDK via MCP
Follow these steps to integrate the QWeather Ocean/Tide API 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 2 tools from QWeather Ocean/Tide API and passes them to the LLM
Why Use Vercel AI SDK with the QWeather Ocean/Tide API MCP Server
Vercel AI SDK provides unique advantages when paired with QWeather Ocean/Tide API 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 QWeather Ocean/Tide API integration everywhere
Built-in streaming UI primitives let you display QWeather Ocean/Tide API 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
QWeather Ocean/Tide API + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the QWeather Ocean/Tide API MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query QWeather Ocean/Tide API in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate QWeather Ocean/Tide API tools and return structured JSON responses to any frontend
Chatbots with tool use: embed QWeather Ocean/Tide API capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with QWeather Ocean/Tide API through natural language queries
QWeather Ocean/Tide API MCP Tools for Vercel AI SDK (2)
These 2 tools become available when you connect QWeather Ocean/Tide API to Vercel AI SDK via MCP:
check_api_status
Check if the QWeather Ocean service is operational
get_ocean_tide_data
Get real-time tide data for a specific location and date
Example Prompts for QWeather Ocean/Tide API in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with QWeather Ocean/Tide API immediately.
"Get tide data for location '101010100' (Shanghai) for '20240510' using QWeather."
"What is the tide forecast for latitude 22.3193 and longitude 114.1694 (Hong Kong)?"
"Show the full tide table for today."
Troubleshooting QWeather Ocean/Tide API MCP Server with Vercel AI SDK
Common issues when connecting QWeather Ocean/Tide API to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpQWeather Ocean/Tide API + Vercel AI SDK FAQ
Common questions about integrating QWeather Ocean/Tide API 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 QWeather Ocean/Tide API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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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 QWeather Ocean/Tide API to Vercel AI SDK
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.