Open-Meteo Historical Weather 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 Historical Weather as an MCP tool provider through 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_historical_weather_agent",
tools=tools,
system_message=(
"You help users with Open-Meteo Historical Weather. "
"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 Historical Weather MCP Server
Access 84 years of continuous weather records from 1940 to today for any location on Earth.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Open-Meteo Historical Weather 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
- Historical Hourly — Temperature, humidity, precipitation, snowfall, weather codes, and wind for any past date range
- Historical Daily — Max/min temperatures, precipitation totals, sunshine duration, and dominant wind patterns
- Temperature Trends — Dedicated tool for long-term climate trend analysis with apparent temperature data
The Open-Meteo Historical Weather 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 Historical Weather to AutoGen via MCP
Follow these steps to integrate the Open-Meteo Historical Weather 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 Historical Weather automatically
Why Use AutoGen with the Open-Meteo Historical Weather MCP Server
AutoGen provides unique advantages when paired with Open-Meteo Historical Weather through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Open-Meteo Historical Weather tools to solve complex tasks
Role-based architecture lets you assign Open-Meteo Historical Weather 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 Historical Weather tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Open-Meteo Historical Weather tool responses in an isolated environment
Open-Meteo Historical Weather + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Open-Meteo Historical Weather MCP Server delivers measurable value.
Collaborative analysis: one agent queries Open-Meteo Historical Weather while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Open-Meteo Historical Weather, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Open-Meteo Historical Weather data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Open-Meteo Historical Weather responses in a sandboxed execution environment
Open-Meteo Historical Weather MCP Tools for AutoGen (3)
These 3 tools become available when you connect Open-Meteo Historical Weather to AutoGen via MCP:
get_historical_daily
Get historical daily weather aggregates
get_historical_temperature
Includes hourly temperature, apparent temperature, and dewpoint. Get historical temperature trends for climate analysis
get_historical_weather
Provide latitude, longitude, start_date and end_date in YYYY-MM-DD format. Covers 84 years of global data. Get historical weather for any date range (1940–present)
Example Prompts for Open-Meteo Historical Weather in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Open-Meteo Historical Weather immediately.
"What was the weather in London on D-Day, June 6, 1944?"
"Compare average temperatures in São Paulo between 1950 and 2020"
"How much rain fell in Mumbai during the 2005 flood?"
Troubleshooting Open-Meteo Historical Weather MCP Server with AutoGen
Common issues when connecting Open-Meteo Historical Weather to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Open-Meteo Historical Weather + AutoGen FAQ
Common questions about integrating Open-Meteo Historical Weather 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 Historical Weather to AutoGen
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.