How to integrate AccuWeather MCP with Autogen

This guide walks you through connecting AccuWeather to AutoGen using the Composio tool router. By the end, you'll have a working AccuWeather agent that can fetch current conditions, get hourly forecasts, retrieve your weather alerts, and report minute-by-minute precipitation through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a AccuWeather account through Composio's AccuWeather MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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AccuWeather is a global weather service providing current conditions, forecasts, MinuteCast precipitation, alerts, and lightning data. Use it for fast, localized forecasts and real-time weather alerts.

41 Tools

Introduction

This guide walks you through connecting AccuWeather to AutoGen using the Composio tool router. By the end, you'll have a working AccuWeather agent that can fetch current conditions, get hourly forecasts, retrieve your weather alerts, and report minute-by-minute precipitation through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a AccuWeather account through Composio's AccuWeather MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate AccuWeather with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for AccuWeather
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call AccuWeather tools
  • Run a live chat loop where you ask the agent to perform AccuWeather operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

What is the AccuWeather MCP server, and what's possible with it?

The AccuWeather MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your AccuWeather account. It provides structured and secure access to global weather conditions, forecasts, alerts, precipitation updates, and storm data, so your agent can check current weather, plan around forecasts, monitor alerts, assess precipitation, and track tropical storms on your behalf.

  • Current conditions and forecasts: Have your agent check current conditions and retrieve hourly or daily forecasts for cities and other locations worldwide.
  • Weather alerts and alarms: Let the agent monitor active government weather alerts and threshold-based alarms for locations you care about.
  • Minute-by-minute rain and lightning: Direct your agent to assess near-term precipitation, forecast lightning probability, or review recent lightning strikes around chosen coordinates.
  • Tropical storm tracking: Instruct your agent to find active tropical storms and review their latest positions, observed paths, forecast tracks, intensity, and status.
  • Local weather context: Have your agent find locations, explore nearby cities, review lifestyle indices, or retrieve recent radar and satellite imagery for trip and activity planning.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A AccuWeather account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to AccuWeather via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's AccuWeather connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a AccuWeather session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["accu_weather"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes AccuWeather tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create AccuWeather assistant agent with MCP tools
    agent = AssistantAgent(
        name="accu_weather_assistant",
        description="An AI assistant that helps with AccuWeather operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the AccuWeather tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any AccuWeather related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which AccuWeather tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with AccuWeather and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a AccuWeather session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["accu_weather"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create AccuWeather assistant agent with MCP tools
        agent = AssistantAgent(
            name="accu_weather_assistant",
            description="An AI assistant that helps with AccuWeather operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any AccuWeather related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into AccuWeather through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for AccuWeather, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

Every AccuWeather action and event your agent gets out of the box.

Autocomplete Locations

Return location-name suggestions for all locations, cities, or points of interest, optionally restricted to a country.

Get Administrative Area

Return one administrative area by country and administrative-area codes.

Get Country

Return one country by AccuWeather region and country codes.

Get Current Conditions

Return current weather observations for an AccuWeather location key, optionally including extended details and weather photos.

Get Daily Forecast

Return a 1, 5, 7, 10, or 15-day forecast for a location key.

Get Daily Indices

Return 1, 5, 10, or 15-day lifestyle-index forecasts for all indices, one group, or one index at an AccuWeather location.

Get Historical Current Conditions

Return the past 6 or 24 hours of current-condition observations for an AccuWeather location key.

Get Hourly Forecast

Return a 1, 12, 24, 72, or 120-hour forecast for an AccuWeather location key.

Get Index

Return metadata for one AccuWeather lifestyle index.

Get Index Group

Return the lifestyle indices belonging to one AccuWeather index group.

Get Lightning Forecast

Return forecast lightning probabilities for latitude/longitude coordinates.

Get Location

Return full location metadata for an AccuWeather location key.

Get MinuteCast Forecast

Return minute-by-minute precipitation conditions for latitude/longitude coordinates.

Get Radar and Satellite Imagery

Return recent radar and satellite image metadata and URLs for an AccuWeather location at a selected resolution.

Get Region

Return one AccuWeather region by region code.

Get Translation Group

Return translated strings for one AccuWeather translation group.

Get Tropical Storm Current Position

Return the latest observed position of a government-issued tropical storm.

List Active Tropical Storms

Return active government-issued tropical storms globally, by basin, or by basin and government storm ID.

List Administrative Areas

Return administrative areas globally or within a country, one provider page at a time.

List Countries

Return countries globally or within a specific AccuWeather region, one provider page at a time.

List Index Groups

Return lifestyle-index groups and their identifiers.

List Indices

Return all supported lifestyle indices and their identifiers.

List MinuteCast Color Codes

Return full or simplified color-code metadata used in MinuteCast precipitation output.

List Neighboring Cities

Return cities near an AccuWeather location key.

List Recent Lightning Strikes

Return recent lightning strikes within 1 to 60 miles of latitude/longitude coordinates as a GeoJSON FeatureCollection.

List Regions

Return AccuWeather geographic regions and their codes.

List Supported Languages

Return AccuWeather-supported languages with numeric IDs and language codes.

List Top Cities

Return top-ranked AccuWeather cities globally or within one region.

List Top City Conditions

Return current weather conditions for a requested number of globally ranked cities.

List Translation Groups

Return available AccuWeather translation groups and their identifiers.

List Tropical Storm Forecasts

Return forecast positions and intensity for a government-issued tropical storm.

List Tropical Storm Positions

Return the observed position history of a government-issued tropical storm.

List Tropical Storms by Year

Return government-issued tropical storms for a year, optionally filtered by basin and government storm ID.

List Tropical Storm Statuses

Return government-issued tropical storm status categories and wind-speed definitions globally or for one basin.

List Weather Alarms

Return threshold-based weather alarms for the next 1, 5, 10, or 15 days at an AccuWeather location.

List Weather Alerts

Return active government-issued weather alerts for a location key.

Resolve Language Identifier

Convert an AccuWeather language code to its numeric ID or a numeric language ID to its code.

Search Administrative Areas

Search administrative areas by required non-empty name text and optional country and administrative-area code filters, one 25-result provider page at a time.

Search City by IP Address

Resolve an IPv4 or IPv6 address to an AccuWeather city location.

Search Locations

Search cities, general locations, postal codes, or points of interest by text and optional geographic filters.

Search Locations by Coordinates

Find the nearest general location, city, or point of interest to latitude/longitude coordinates.

FRAMEWORKS

How to build AccuWeather MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use AccuWeather MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use AccuWeather MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use AccuWeather MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use AccuWeather MCP with Claude Cowork

Codex logo

Codex

Use AccuWeather MCP with Codex

OpenClaw logo

OpenClaw

Use AccuWeather MCP with OpenClaw

Hermes logo

Hermes

Use AccuWeather MCP with Hermes

CLI logo

CLI

Use AccuWeather MCP with CLI

Google ADK logo

Google ADK

Use AccuWeather MCP with Google ADK

LangChain logo

LangChain

Use AccuWeather MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use AccuWeather MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use AccuWeather MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use AccuWeather MCP with LlamaIndex

CrewAI logo

CrewAI

Use AccuWeather MCP with CrewAI

FAQ

Frequently asked questions

With a standalone AccuWeather MCP server, the agents and LLMs can only access a fixed set of AccuWeather tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from AccuWeather and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Autogen fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right AccuWeather tools.

Yes, absolutely. You can configure which AccuWeather scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your AccuWeather data and credentials are handled as safely as possible.

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