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 Pydantic AI 2 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 2 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect QWeather Ocean/Tide API through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to QWeather Ocean/Tide API "
            "(2 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in QWeather Ocean/Tide API?"
    )
    print(result.data)

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.

Pydantic AI validates every QWeather Ocean/Tide API tool response against typed schemas, catching data inconsistencies at build time. Connect 2 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 2 tools from QWeather Ocean/Tide API with type-safe schemas

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

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your QWeather Ocean/Tide API integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your QWeather Ocean/Tide API connection logic from agent behavior for testable, maintainable code

QWeather Ocean/Tide API + Pydantic AI Use Cases

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

Type-safe data pipelines: query QWeather Ocean/Tide API with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple QWeather Ocean/Tide API tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query QWeather Ocean/Tide API and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock QWeather Ocean/Tide API responses and write comprehensive agent tests

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

These 2 tools become available when you connect QWeather Ocean/Tide API to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

QWeather Ocean/Tide API + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your QWeather Ocean/Tide API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.