How to integrate AccuWeather MCP with CrewAI

This guide walks you through connecting AccuWeather to CrewAI 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 CrewAI 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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Api Key

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 CrewAI 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 CrewAI 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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TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your AccuWeather connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for AccuWeather
  • Build a conversational loop where your agent can execute AccuWeather operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A AccuWeather connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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 crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to AccuWeather via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived AccuWeather MCP URL
6

Create a Composio Tool Router session for AccuWeather

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["accu_weather"])

url = session.mcp.url
What's happening:
  • You create a AccuWeather only session through Composio
  • Composio returns an MCP HTTP URL that exposes AccuWeather tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

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

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["accu_weather"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to AccuWeather through Composio's Tool Router. The agent can perform AccuWeather operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
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.

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. CrewAI 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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