How to integrate AccuWeather MCP with LangChain

This guide walks you through connecting AccuWeather to LangChain 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 LangChain 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.

AccuWeather logoAccuWeather
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 LangChain 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 LangChain 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

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your AccuWeather project to Composio
  • Create a Tool Router MCP session for AccuWeather
  • Initialize an MCP client and retrieve AccuWeather tools
  • Build a LangChain agent that can interact with AccuWeather
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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 your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with AccuWeather functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to AccuWeather tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['accu_weather']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to AccuWeather tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use AccuWeather tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "accu_weather-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our AccuWeather MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available AccuWeather tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

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

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['accu_weather']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "accu_weather-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any AccuWeather related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with AccuWeather through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
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. LangChain 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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