Open-Meteo Flood & Rivers MCP Server for LangChain 3 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Open-Meteo Flood & Rivers through 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({
"open-meteo-flood-rivers": {
"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 Open-Meteo Flood & Rivers, 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 Open-Meteo Flood & Rivers MCP Server
Arm your AI with flood intelligence powered by the Global Flood Awareness System (GloFAS).
LangChain's ecosystem of 500+ components combines seamlessly with Open-Meteo Flood & Rivers through native MCP adapters. Connect 3 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
- River Discharge — Real-time simulated river discharge in m³/s at 5km resolution
- Flood Forecast — Up to 7 months of forward river discharge predictions for early warning
- Historical Discharge — 40+ years of reanalysis data from 1984 for trend analysis
The Open-Meteo Flood & Rivers 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 Open-Meteo Flood & Rivers to LangChain via MCP
Follow these steps to integrate the Open-Meteo Flood & Rivers 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 Open-Meteo Flood & Rivers via MCP
Why Use LangChain with the Open-Meteo Flood & Rivers MCP Server
LangChain provides unique advantages when paired with Open-Meteo Flood & Rivers through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Open-Meteo Flood & Rivers 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 Open-Meteo Flood & Rivers queries for multi-turn workflows
Open-Meteo Flood & Rivers + LangChain Use Cases
Practical scenarios where LangChain combined with the Open-Meteo Flood & Rivers MCP Server delivers measurable value.
RAG with live data: combine Open-Meteo Flood & Rivers tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Open-Meteo Flood & Rivers, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Open-Meteo Flood & Rivers tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Open-Meteo Flood & Rivers tool call, measure latency, and optimize your agent's performance
Open-Meteo Flood & Rivers MCP Tools for LangChain (3)
These 3 tools become available when you connect Open-Meteo Flood & Rivers to LangChain via MCP:
get_flood_forecast
Data from GloFAS covering up to 210 days of prediction. Get flood forecast up to 7 months ahead
get_historical_discharge
Get historical river discharge data (1984–present)
get_river_discharge
Useful for flood monitoring and water resource management. Get river discharge data at 5km resolution
Example Prompts for Open-Meteo Flood & Rivers in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Open-Meteo Flood & Rivers immediately.
"What's the current river discharge near Bangkok?"
"Is there flood risk along the Rhine River in the next 3 months?"
"Compare Danube River discharge in 2002 vs today"
Troubleshooting Open-Meteo Flood & Rivers MCP Server with LangChain
Common issues when connecting Open-Meteo Flood & Rivers to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOpen-Meteo Flood & Rivers + LangChain FAQ
Common questions about integrating Open-Meteo Flood & Rivers 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 Open-Meteo Flood & Rivers 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 Open-Meteo Flood & Rivers to LangChain
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.