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 LangChain 2 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 2 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect QWeather Ocean/Tide API through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "qweather-oceantide-api": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using QWeather Ocean/Tide API, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with QWeather Ocean/Tide API through native MCP adapters. Connect 2 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 2 tools from QWeather Ocean/Tide API via MCP

Why Use LangChain with the QWeather Ocean/Tide API MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine QWeather Ocean/Tide API MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across QWeather Ocean/Tide API queries for multi-turn workflows

QWeather Ocean/Tide API + LangChain Use Cases

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

RAG with live data: combine QWeather Ocean/Tide API tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query QWeather Ocean/Tide API, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain QWeather Ocean/Tide API tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every QWeather Ocean/Tide API tool call, measure latency, and optimize your agent's performance

QWeather Ocean/Tide API MCP Tools for LangChain (2)

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

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

QWeather Ocean/Tide API + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.