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Vinkius

Open-Meteo MCP Server for AutoGen 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools Framework

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

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_agent",
            tools=tools,
            system_message=(
                "You help users with Open-Meteo. "
                "5 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
Open-Meteo
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* 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 MCP Server

Connect to Open-Meteo and access global weather forecasts through natural conversation — no API key needed.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Open-Meteo tools. Connect 5 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

  • Current Weather — Get real-time temperature, humidity, wind, precipitation and conditions
  • 7-Day Forecast — Hourly and daily forecasts up to 16 days ahead with 50+ weather variables
  • Historical Weather — Access archived weather data going back to 1940 for any location
  • Air Quality — Get PM2.5, PM10, NO2, O3, SO2, CO and UV index forecasts
  • Geocoding — Find coordinates for any city or place name
  • Elevation — Get elevation data for any coordinates

The Open-Meteo MCP Server exposes 5 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 to AutoGen via MCP

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

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 5 tools from Open-Meteo automatically

Why Use AutoGen with the Open-Meteo MCP Server

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

01

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

02

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

03

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

04

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

Open-Meteo + AutoGen Use Cases

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

01

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

02

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

03

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

04

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

Open-Meteo MCP Tools for AutoGen (5)

These 5 tools become available when you connect Open-Meteo to AutoGen via MCP:

01

get_air_quality

5, PM10, nitrogen dioxide, ozone, sulphur dioxide, carbon monoxide, dust, pollen and UV index. Requires latitude and longitude. Returns hourly data for up to 7 days. Common variables: pm2_5, pm10, nitrogen_dioxide, ozone, sulphur_dioxide, carbon_monoxide, dust, uv_index, alder_pollen, grass_pollen. Get air quality forecast for a location

02

get_elevation

Useful for hiking, aviation and geographic research. Get elevation for coordinates

03

get_forecast

Requires latitude and longitude. Supports hourly, daily and current weather variables. Common variables: temperature_2m, relative_humidity_2m, precipitation, rain, snowfall, wind_speed_10m, wind_direction_10m, wind_gusts_10m, weather_code, cloud_cover, pressure_msl, uv_index, visibility, apparent_temperature, dew_point_2m, sunshine_duration. Set past_days to include historical data (0-92 days). Set forecast_days for forecast length (0-16 days, default 7). Timezone defaults to GMT; use "auto" for local timezone. Get weather forecast for a location

04

get_geocoding

Useful for finding coordinates to use with weather tools. Returns up to 10 results by default. Find coordinates for a place name

05

get_historical_weather

Requires latitude, longitude, start date and end date (YYYY-MM-DD format). Supports the same hourly variables as the forecast API. Historical data goes back to 1940 for most locations. Use get_geocoding to find coordinates for a city name. Get historical weather data for a location

Example Prompts for Open-Meteo in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Open-Meteo immediately.

01

"What's the weather forecast for São Paulo this week?"

02

"What was the temperature in Tokyo on July 15, 2024?"

03

"What's the air quality in Beijing right now?"

Troubleshooting Open-Meteo MCP Server with AutoGen

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

01

McpWorkbench not found

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

Open-Meteo + AutoGen FAQ

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

01

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 tools during their conversation turns.
02

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.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect Open-Meteo to AutoGen

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.