How do I find my MeteoSource API Key?

Sign up for a free account at [**meteosource.com**](https://www.meteosource.com/), and you will find your API Key in your dashboard. Copy and paste it below.

Does it support location search by name?

Yes. Use the `search_weather_places` tool providing the city or place name. Your agent will return the unique `place_id` required for forecasts.

Are hourly forecasts included?

Yes. The `get_point_forecast` tool retrieves comprehensive weather metadata including current conditions, daily summaries, and hourly breakdowns.

MeteoSource MCP Server for AutoGen 5 tools — connect in under 2 minutes

Name: MeteoSource
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 5 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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="meteosource_agent",
            tools=tools,
            system_message=(
                "You help users with MeteoSource. "
                "5 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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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 MeteoSource MCP Server

Empower your AI agent to orchestrate your entire meteorological research and weather auditing workflow with MeteoSource, the comprehensive source for hyper-local weather data. By connecting the MeteoSource API to your agent, you transform complex forecast searches into a natural conversation. Your agent can instantly search for monitored places, audit daily and hourly forecasts, and retrieve timezone metadata without you ever touching a weather portal. Whether you are planning outdoor events or conducting regional climate audits, your agent acts as a real-time meteorological consultant, ensuring your data is always precise and localized.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use MeteoSource 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

Place Auditing — Search for thousands of global locations and retrieve high-resolution place IDs and geographic metadata.
Forecast Oversight — Audit comprehensive point forecasts, including current conditions, daily summaries, and hourly breakdowns.
Geographic Discovery — Find the nearest monitored place by latitude and longitude to maintain strict organizational control over local data.
Temporal Intelligence — Query timezone information for specific places to assist in time-sensitive logistics and event planning.
Operational Monitoring — Check API status to ensure your meteorological research workflow is always operational.

The MeteoSource 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 MeteoSource to AutoGen via MCP

Follow these steps to integrate the MeteoSource 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 5 tools from MeteoSource automatically

Why Use AutoGen with the MeteoSource MCP Server

AutoGen provides unique advantages when paired with MeteoSource through the Model Context Protocol.

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

Role-based architecture lets you assign MeteoSource 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 MeteoSource tool calls

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

MeteoSource + AutoGen Use Cases

Practical scenarios where AutoGen combined with the MeteoSource MCP Server delivers measurable value.

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

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

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

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

MeteoSource MCP Tools for AutoGen (5)

These 5 tools become available when you connect MeteoSource to AutoGen via MCP:

check_api_status

Check if the MeteoSource service is operational

get_nearest_weather_place

Find the nearest monitored place by latitude and longitude

get_place_timezone

Get timezone information for a specific place_id

get_point_forecast

Get weather forecast for a specific place_id

search_weather_places

Search for a place by name to get its place_id for forecasts

Example Prompts for MeteoSource in AutoGen

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

"Get weather forecast for 'London' using MeteoSource."

"Search for weather station near latitude 48.8566 and longitude 2.3522."

"What is the timezone for place 'tokyo'?"

Troubleshooting MeteoSource MCP Server with AutoGen

Common issues when connecting MeteoSource to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

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

MeteoSource + AutoGen FAQ

Common questions about integrating MeteoSource 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 MeteoSource 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.