How to integrate Metaads MCP with LangChain

This guide walks you through connecting Metaads to LangChain using the Composio tool router. By the end, you'll have a working Metaads agent that can get ad performance insights for last week, create a new campaign for summer sale, pause all ads in underperforming campaigns through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Metaads account through Composio's Metaads MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Metaads is Meta's official Ads API that lets you manage, analyze, and optimize your Facebook and Instagram ad campaigns. Streamline ad operations and gain deeper insights with robust automation.

50 Tools

Introduction

This guide walks you through connecting Metaads to LangChain using the Composio tool router. By the end, you'll have a working Metaads agent that can get ad performance insights for last week, create a new campaign for summer sale, pause all ads in underperforming campaigns through natural language commands.

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

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

Also integrate Metaads with

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Metaads project to Composio
  • Create a Tool Router MCP session for Metaads
  • Initialize an MCP client and retrieve Metaads tools
  • Build a LangChain agent that can interact with Metaads
  • 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 Metaads MCP server, and what's possible with it?

The Metaads MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Meta Ads account. It provides structured and secure access to your advertising assets, so your agent can perform actions like creating campaigns, managing ads, analyzing insights, and handling audiences on your behalf.

  • Automated campaign and ad creation: Quickly launch new campaigns, ad sets, and ads—including image, video, carousel, and collection formats—without manual setup.
  • Real-time ad performance insights: Instantly retrieve analytics and detailed insights for any ad account, campaign, ad set, or individual ad to monitor and optimize your strategies.
  • Audience management and targeting: Effortlessly create and update custom audiences, from customer lists to website visitors, so your ads reach the right people.
  • Campaign control and optimization: Pause or delete campaigns and creatives, allowing your agent to manage spend and keep your advertising up to date.
  • Creative asset automation: Generate, fetch, or remove ad creatives on the fly, making it easy to test new visuals or messaging across your campaigns.

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 Metaads 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 Metaads 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: ['metaads']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Metaads 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 Metaads tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "metaads-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 Metaads MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Metaads 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 Metaads 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 Metaads 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: ['metaads']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "metaads-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 Metaads 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 Metaads 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 Metaads action and event your agent gets out of the box.

Create Ad

Create a new ad within an ad set using the Meta Marketing API.

Create Ad Creative

Create a new ad creative using the Meta Marketing API.

Create Ad Set

Create a new ad set within a campaign using the Meta Marketing API.

Create Campaign

Create a new advertising campaign using the Meta Marketing API.

Create Custom Audience

Create a new custom audience using the Meta Marketing API.

Delete Campaign

Delete an advertising campaign using the Meta Marketing API.

Get Ad Accounts

Tool to retrieve all ad account IDs accessible to the authenticated user from Meta Ads.

Get Ad Creative

Get Ad Creative

Get Insights

Get insights data for a Meta Ads object (ad account, campaign, ad set, or ad) using the Meta Marketing API.

Get Meta Object

Tool to retrieve data for any Meta Marketing API object by its ID.

Get Page Accounts

Tool to retrieve permanent page access tokens for accounts managed by the user.

Get User

Tool to retrieve information about the authenticated user from Meta (Facebook) Graph API.

List Ad Creatives

Tool to list all ad creatives under an ad account.

List Ad Network Analytics

Tool to retrieve ad network analytics for a Meta Business using the Meta Marketing API.

List Ad Network Analytics Results

Tool to retrieve ad network analytics results for Facebook Audience Network.

List Ads

Tool to list all ads under an ad account using the Meta Marketing API.

List Agencies

Tool to retrieve agencies associated with a Meta Business or Ad Account.

List Assigned Pages

Tool to retrieve Facebook Pages assigned to a business user via Meta Marketing API.

List Assigned Users

Tool to list users assigned to a Facebook Page or Ad Account within a specific business context.

List Business Ad Accounts

Tool to retrieve all ad accounts owned by a specific Business Manager.

List Business Invoices

Tool to retrieve business invoices from Meta Marketing API.

List Client Ad Accounts

Tool to list all client ad accounts accessible to a business from Meta Ads.

List Client Apps

Tool to retrieve client apps associated with a Meta Business using the Marketing API.

List Client Instagram Assets

Tool to retrieve Instagram assets that are shared with a business as a client using the Meta Marketing API.

List Client Offsite Signal Container Business Objects

Tool to retrieve client offsite signal container business objects for a business from Meta Marketing API.

List Client Pages

Tool to retrieve client pages associated with a Meta business.

List Clients

Tool to retrieve client businesses associated with a Meta Business Manager.

List Collaborative Ads Collaboration Requests

Tool to retrieve collaborative ads collaboration requests for a Meta Business using the Marketing API.

List Collaborative Ads Suggested Partners

Tool to retrieve collaborative ads suggested partners for a business from Meta Marketing API.

List Initiated Audience Sharing Requests

Tool to retrieve initiated audience sharing requests for a business using the Meta Marketing API.

List Managed Partner Ads Funding Source Details

Tool to retrieve managed partner ads funding source details for a Meta Business.

List Owned Apps

Tool to retrieve apps owned by a business from Meta Marketing API.

List Owned Businesses

Tool to retrieve businesses owned by a parent Business Manager from Meta Marketing API.

List Owned Instagram Assets

Tool to list Instagram accounts/assets owned by a Meta Business.

List Owned Offsite Signal Container Business Objects

Tool to retrieve owned offsite signal container business objects for a business from Meta Marketing API.

List Owned Pages

Tool to retrieve Pages owned by a Business Manager from Meta Marketing API.

List Pending Client Ad Accounts

Tool to retrieve pending client ad account access requests for a Business Manager from Meta Ads.

List Pending Client Apps

Tool to retrieve pending client apps for a Meta Business.

List Pending Client Pages

Tool to retrieve pending client pages for a Business Manager using the Meta Marketing API.

List Pending Shared Offsite Signal Container Business Objects

Tool to retrieve pending shared offsite signal container business objects from Meta Marketing API.

List Pending Owned Ad Accounts

Tool to retrieve pending owned ad accounts for a Business Manager account from Meta Marketing API.

List Pending Owned Pages

Tool to retrieve Pages with pending ownership status for a Business Manager from Meta Marketing API.

List Pending Users

Tool to retrieve pending users from a Business Manager in Meta Marketing API.

List Received Audience Sharing Requests

Tool to retrieve all received audience sharing requests for a business using the Meta Marketing API.

List System Users

Tool to retrieve system users for a Meta Business Manager account.

List Targeting Search

Tool to search for targeting options in Meta Ads Marketing API.

Read Ad Sets

Retrieve ad sets from a Meta ad account using the Marketing API.

Update Ad Creative

Update Ad Creative

Update Campaign

Update an existing advertising campaign using the Meta Marketing API.

Upload Ad Image

Upload an image for use in Meta ad creatives using the Marketing API.

FRAMEWORKS

How to build Metaads MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Metaads MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Metaads MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Metaads MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Metaads MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Metaads MCP with Claude Cowork

Codex logo

Codex

Use Metaads MCP with Codex

Cursor logo

Cursor

Use Metaads MCP with Cursor

OpenClaw logo

OpenClaw

Use Metaads MCP with OpenClaw

Hermes logo

Hermes

Use Metaads MCP with Hermes

CLI logo

CLI

Use Metaads MCP with CLI

Google ADK logo

Google ADK

Use Metaads MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Metaads MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Metaads MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Metaads MCP with LlamaIndex

CrewAI logo

CrewAI

Use Metaads MCP with CrewAI

OpenCode logo

OpenCode

Use Metaads MCP with OpenCode

VS Code logo

VS Code

Use Metaads MCP with VS Code

FAQ

Frequently asked questions

With a standalone Metaads MCP server, the agents and LLMs can only access a fixed set of Metaads tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Metaads 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 Metaads tools.

Yes, absolutely. You can configure which Metaads 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 Metaads data and credentials are handled as safely as possible.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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