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QWeather Ocean/Tide API MCP Server for Mastra AI 2 tools — connect in under 2 minutes

Built by Vinkius GDPR 2 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect QWeather Ocean/Tide API through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "qweather-oceantide-api": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "QWeather Ocean/Tide API Agent",
    instructions:
      "You help users interact with QWeather Ocean/Tide API " +
      "using 2 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with QWeather Ocean/Tide API?"
  );
  console.log(result.text);
}

main();
QWeather Ocean/Tide API
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and QWeather Ocean/Tide API tool infrastructure. Connect 2 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the QWeather Ocean/Tide API MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 2 tools from QWeather Ocean/Tide API via MCP

Why Use Mastra AI with the QWeather Ocean/Tide API MCP Server

Mastra AI provides unique advantages when paired with QWeather Ocean/Tide API through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add QWeather Ocean/Tide API without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every QWeather Ocean/Tide API tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

QWeather Ocean/Tide API + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the QWeather Ocean/Tide API MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query QWeather Ocean/Tide API, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed QWeather Ocean/Tide API as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query QWeather Ocean/Tide API on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using QWeather Ocean/Tide API tools alongside other MCP servers

QWeather Ocean/Tide API MCP Tools for Mastra AI (2)

These 2 tools become available when you connect QWeather Ocean/Tide API to Mastra AI via MCP:

01

check_api_status

Check if the QWeather Ocean service is operational

02

get_ocean_tide_data

Get real-time tide data for a specific location and date

Example Prompts for QWeather Ocean/Tide API in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with QWeather Ocean/Tide API immediately.

01

"Get tide data for location '101010100' (Shanghai) for '20240510' using QWeather."

02

"What is the tide forecast for latitude 22.3193 and longitude 114.1694 (Hong Kong)?"

03

"Show the full tide table for today."

Troubleshooting QWeather Ocean/Tide API MCP Server with Mastra AI

Common issues when connecting QWeather Ocean/Tide API to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

QWeather Ocean/Tide API + Mastra AI FAQ

Common questions about integrating QWeather Ocean/Tide API MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect QWeather Ocean/Tide API to Mastra AI

Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.