Open-Meteo Climate & Ensemble MCP Server for AutoGen 3 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Open-Meteo Climate & Ensemble as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
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_climate_ensemble_agent",
tools=tools,
system_message=(
"You help users with Open-Meteo Climate & Ensemble. "
"3 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 Climate & Ensemble MCP Server
Give your AI a window into the climate future with IPCC-grade projections and probabilistic forecasting.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Open-Meteo Climate & Ensemble 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
- IPCC Projections — Temperature and precipitation under different SSP emission scenarios from 2015 to 2100 using CMIP6 models
- Ensemble Forecasts — Probabilistic predictions from 6+ weather models simultaneously for uncertainty quantification
- Temperature Trends — Decades-long temperature trajectory analysis for any location
The Open-Meteo Climate & Ensemble 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 Climate & Ensemble to AutoGen via MCP
Follow these steps to integrate the Open-Meteo Climate & Ensemble 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 Climate & Ensemble automatically
Why Use AutoGen with the Open-Meteo Climate & Ensemble MCP Server
AutoGen provides unique advantages when paired with Open-Meteo Climate & Ensemble through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Open-Meteo Climate & Ensemble tools to solve complex tasks
Role-based architecture lets you assign Open-Meteo Climate & Ensemble 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 Climate & Ensemble tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Open-Meteo Climate & Ensemble tool responses in an isolated environment
Open-Meteo Climate & Ensemble + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Open-Meteo Climate & Ensemble MCP Server delivers measurable value.
Collaborative analysis: one agent queries Open-Meteo Climate & Ensemble while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Open-Meteo Climate & Ensemble, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Open-Meteo Climate & Ensemble data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Open-Meteo Climate & Ensemble responses in a sandboxed execution environment
Open-Meteo Climate & Ensemble MCP Tools for AutoGen (3)
These 3 tools become available when you connect Open-Meteo Climate & Ensemble to AutoGen via MCP:
get_climate_projection
Uses CMIP6 climate models for long-term climate analysis. Get IPCC climate change projections (2015–2100)
get_climate_temperature_trend
Get long-term temperature trend projections
get_ensemble_forecast
Useful for risk assessment and probabilistic planning. Get probabilistic multi-model ensemble forecast
Example Prompts for Open-Meteo Climate & Ensemble in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Open-Meteo Climate & Ensemble immediately.
"What will temperatures look like in Paris by 2080 under worst-case emissions?"
"Run an ensemble forecast for London — how confident is the rain prediction?"
"How much hotter will summers in Dubai get by 2060?"
Troubleshooting Open-Meteo Climate & Ensemble MCP Server with AutoGen
Common issues when connecting Open-Meteo Climate & Ensemble to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Open-Meteo Climate & Ensemble + AutoGen FAQ
Common questions about integrating Open-Meteo Climate & Ensemble 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 Climate & Ensemble to AutoGen
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
