Storm Glass Marine & Weather MCP Server for LangChain 3 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Storm Glass Marine & Weather through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"storm-glass-marine-weather": {
"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 Storm Glass Marine & Weather, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(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 Storm Glass Marine & Weather MCP Server
Equip your AI agent with high-resolution global weather and marine intelligence through the Storm Glass MCP server. This integration provides real-time and forecast data from the world's leading meteorological institutions (NOAA, MET Office, DWD, and more). Your agent can retrieve precise marine weather (wave height, swell, water temp), tide extremes, astronomical data (sun/moon), and oceanic bio data (chlorophyll, iron levels). Whether you are planning offshore operations, maritime shipping, or researching environmental trends, your agent acts as a dedicated oceanographer and meteorologist through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Storm Glass Marine & Weather through native MCP adapters. Connect 3 tools via the 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
- Marine Point Forecasts — Retrieve detailed wave and water data for any coordinate on Earth.
- Tide Intelligence — Fetch high and low tide times and heights for coastal planning.
- Astronomical Insights — Access sunrise, sunset, moon phases, and moonrise data.
- Oceanic Bio Data — Monitor chlorophyll and nutrient levels for environmental studies.
The Storm Glass Marine & Weather MCP Server exposes 3 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 Storm Glass Marine & Weather to LangChain via MCP
Follow these steps to integrate the Storm Glass Marine & Weather 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 3 tools from Storm Glass Marine & Weather via MCP
Why Use LangChain with the Storm Glass Marine & Weather MCP Server
LangChain provides unique advantages when paired with Storm Glass Marine & Weather through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Storm Glass Marine & Weather 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 Storm Glass Marine & Weather queries for multi-turn workflows
Storm Glass Marine & Weather + LangChain Use Cases
Practical scenarios where LangChain combined with the Storm Glass Marine & Weather MCP Server delivers measurable value.
RAG with live data: combine Storm Glass Marine & Weather tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Storm Glass Marine & Weather, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Storm Glass Marine & Weather tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Storm Glass Marine & Weather tool call, measure latency, and optimize your agent's performance
Storm Glass Marine & Weather MCP Tools for LangChain (3)
These 3 tools become available when you connect Storm Glass Marine & Weather to LangChain via MCP:
get_astronomy_data
Get sun and moon data
get_marine_weather
) for a specific coordinate. Get marine weather for a location
get_tide_extremes
Get tide extremes for a location
Example Prompts for Storm Glass Marine & Weather in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Storm Glass Marine & Weather immediately.
"Check the wave height and water temp for Honolulu (21.3069, -157.8583)."
"What are the high and low tide times for London Bridge today?"
"Get the current sunrise and moon phase for Rio de Janeiro."
Troubleshooting Storm Glass Marine & Weather MCP Server with LangChain
Common issues when connecting Storm Glass Marine & Weather to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersStorm Glass Marine & Weather + LangChain FAQ
Common questions about integrating Storm Glass Marine & Weather MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect Storm Glass Marine & Weather with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Storm Glass Marine & Weather to LangChain
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.