How to integrate Metaads MCP with Mastra AI

This guide walks you through connecting Metaads to Mastra AI 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 Mastra AI 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.

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Introduction

This guide walks you through connecting Metaads to Mastra AI 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 Mastra AI 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 ADKLangChainVercel AI SDKLlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Metaads tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Metaads tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Metaads agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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 step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Metaads through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_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 your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Metaads

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["metaads"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Metaads MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "metaads" for Metaads access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Metaads toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "metaads-mastra-agent",
    instructions: "You are an AI agent with Metaads tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

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

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

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;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        metaads: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Metaads toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Metaads and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["metaads"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      metaads: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "metaads-mastra-agent",
    instructions: "You are an AI agent with Metaads tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

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

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { metaads: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Metaads through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-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

LangChain logo

LangChain

Use Metaads MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Metaads MCP with Vercel AI SDK

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. Mastra AI 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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Co-founder, Slashy

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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