How accurate is the flood forecast?

Data comes from **GloFAS v4** (Global Flood Awareness System) by Copernicus at 5km resolution. Short-term forecasts (1-30 days) are highly reliable. Seasonal forecasts (1-7 months) indicate trends but have wider uncertainty bands.

Open-Meteo Flood & Rivers MCP Server for AutoGen 3 tools — connect in under 2 minutes

Name: Open-Meteo Flood & Rivers
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 3 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Open-Meteo Flood & Rivers as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

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Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="open_meteo_flood_rivers_agent",
            tools=tools,
            system_message=(
                "You help users with Open-Meteo Flood & Rivers. "
                "3 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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About Open-Meteo Flood & Rivers MCP Server

Arm your AI with flood intelligence powered by the Global Flood Awareness System (GloFAS).

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Open-Meteo Flood & Rivers tools. Connect 3 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Open-Meteo Flood & Rivers MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 3 tools from Open-Meteo Flood & Rivers automatically

Why Use AutoGen with the Open-Meteo Flood & Rivers MCP Server

AutoGen provides unique advantages when paired with Open-Meteo Flood & Rivers through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Open-Meteo Flood & Rivers tools to solve complex tasks

Role-based architecture lets you assign Open-Meteo Flood & Rivers tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Open-Meteo Flood & Rivers tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Open-Meteo Flood & Rivers tool responses in an isolated environment

Open-Meteo Flood & Rivers + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Open-Meteo Flood & Rivers MCP Server delivers measurable value.

Collaborative analysis: one agent queries Open-Meteo Flood & Rivers while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Open-Meteo Flood & Rivers, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Open-Meteo Flood & Rivers data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Open-Meteo Flood & Rivers responses in a sandboxed execution environment

Open-Meteo Flood & Rivers MCP Tools for AutoGen (3)

These 3 tools become available when you connect Open-Meteo Flood & Rivers to AutoGen 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 AutoGen

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

Common issues when connecting Open-Meteo Flood & Rivers to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Open-Meteo Flood & Rivers + AutoGen FAQ

Common questions about integrating Open-Meteo Flood & Rivers MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Open-Meteo Flood & Rivers tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.