How do I find my QWeather API Key?

Log in to your [**QWeather Developer portal**](https://dev.qweather.com/), create a project, and you will find your API Key in your dashboard. Copy and paste it below.

Does it support coordinate search?

Yes. You can provide location coordinates (lat,lon) to the `get_ocean_tide_data` tool to retrieve precise regional tide metadata.

What data format is returned for tide tables?

The API returns detailed hourly or daily tide tables, including timestamped water height and peak type metadata.

QWeather Ocean/Tide API MCP Server for OpenAI Agents SDK 2 tools — connect in under 2 minutes

Name: QWeather Ocean/Tide API
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 2 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect QWeather Ocean/Tide API through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="QWeather Ocean/Tide API Assistant",
            instructions=(
                "You help users interact with QWeather Ocean/Tide API. "
                "You have access to 2 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from QWeather Ocean/Tide API"
        )
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK auto-discovers all 2 tools from QWeather Ocean/Tide API through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries QWeather Ocean/Tide API, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the QWeather Ocean/Tide API MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 2 tools from QWeather Ocean/Tide API

Why Use OpenAI Agents SDK with the QWeather Ocean/Tide API MCP Server

OpenAI Agents SDK provides unique advantages when paired with QWeather Ocean/Tide API through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

QWeather Ocean/Tide API + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the QWeather Ocean/Tide API MCP Server delivers measurable value.

Automated workflows: build agents that query QWeather Ocean/Tide API, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries QWeather Ocean/Tide API, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through QWeather Ocean/Tide API tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query QWeather Ocean/Tide API to resolve tickets, look up records, and update statuses without human intervention

QWeather Ocean/Tide API MCP Tools for OpenAI Agents SDK (2)

These 2 tools become available when you connect QWeather Ocean/Tide API to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting QWeather Ocean/Tide API to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

QWeather Ocean/Tide API + OpenAI Agents SDK FAQ

Common questions about integrating QWeather Ocean/Tide API MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.