Open-Meteo Weather Forecast MCP Server for AutoGen 4 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Open-Meteo Weather Forecast as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
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_weather_forecast_agent",
tools=tools,
system_message=(
"You help users with Open-Meteo Weather Forecast. "
"4 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 Weather Forecast MCP Server
Connect your AI agent to the world's most comprehensive open weather API — no API key, no registration, no rate-limit headaches.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Open-Meteo Weather Forecast tools. Connect 4 tools through the 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
- 16-Day Forecast — Hourly and daily predictions with temperature, precipitation probability, wind, humidity, UV index, and weather codes
- Current Conditions — Real-time snapshot including apparent temperature, cloud cover, wind gusts, and precipitation status
- Hourly Granularity — Dewpoint, visibility, snow depth, solar radiation, evapotranspiration, and CAPE convective index
- Daily Summaries — Max/min temperature, sunrise/sunset times, sunshine duration, and dominant wind direction
The Open-Meteo Weather Forecast MCP Server exposes 4 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 Weather Forecast to AutoGen via MCP
Follow these steps to integrate the Open-Meteo Weather Forecast 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 4 tools from Open-Meteo Weather Forecast automatically
Why Use AutoGen with the Open-Meteo Weather Forecast MCP Server
AutoGen provides unique advantages when paired with Open-Meteo Weather Forecast through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Open-Meteo Weather Forecast tools to solve complex tasks
Role-based architecture lets you assign Open-Meteo Weather Forecast 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 Weather Forecast tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Open-Meteo Weather Forecast tool responses in an isolated environment
Open-Meteo Weather Forecast + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Open-Meteo Weather Forecast MCP Server delivers measurable value.
Collaborative analysis: one agent queries Open-Meteo Weather Forecast while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Open-Meteo Weather Forecast, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Open-Meteo Weather Forecast data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Open-Meteo Weather Forecast responses in a sandboxed execution environment
Open-Meteo Weather Forecast MCP Tools for AutoGen (4)
These 4 tools become available when you connect Open-Meteo Weather Forecast to AutoGen via MCP:
get_current_weather
Provide latitude and longitude. Get current weather conditions for any location
get_daily_summary
Get daily weather summary with sunrise/sunset
get_hourly_details
Get detailed hourly weather data
get_weather_forecast
Provide latitude and longitude coordinates. Get weather forecast for any location (up to 16 days)
Example Prompts for Open-Meteo Weather Forecast in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Open-Meteo Weather Forecast immediately.
"What's the weather forecast for Tokyo this week?"
"What are the current weather conditions in New York?"
"Will it snow in Munich in the next 10 days?"
Troubleshooting Open-Meteo Weather Forecast MCP Server with AutoGen
Common issues when connecting Open-Meteo Weather Forecast to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Open-Meteo Weather Forecast + AutoGen FAQ
Common questions about integrating Open-Meteo Weather Forecast MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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Connect Open-Meteo Weather Forecast to AutoGen
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.