How to integrate Facebook MCP with Mastra AI

Connect Mastra AI to Facebook MCP. Post new product launch on our page, upload latest event photos to album, and more using natural language, with authentication handled for you.

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Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.

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Introduction

This guide walks you through connecting Facebook to Mastra AI using the Composio tool router. By the end, you'll have a working Facebook agent that can post new product launch on our page, upload latest event photos to album, reply to comments on latest post through natural language commands.

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

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

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 Facebook tools
Connect Mastra's MCP client to the Composio generated MCP URL
Fetch Facebook 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 Facebook 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 Facebook MCP server, and what's possible with it?

The Facebook MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Facebook Page account. It provides structured and secure access to your Facebook Pages, so your agent can perform actions like publishing posts, managing comments, uploading media, and handling page roles on your behalf.

Automated content publishing: Have your agent create new posts, photo posts, or video posts directly to your Facebook Page, keeping your audience engaged without manual effort.
Media management: Effortlessly upload photos to existing albums or create new albums for organized visual storytelling on your Page.
Interactive engagement: Let your agent add reactions, post comments, or reply to comments, fostering genuine interaction with your followers.
Page moderation and cleanup: Ask your agent to delete unwanted comments or posts, helping you keep your Facebook Page professional and on-brand.
Page team management: Assign tasks or roles to users for your Facebook Page, streamlining collaboration and access control.

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:

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

Step-by-step Guide

Step by step09 STEPS

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

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 Facebook through MCP.

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

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

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

Create a Tool Router session for Facebook

typescript

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

  const composioMCPUrl = session.mcp.url;
  console.log("Facebook MCP URL:", composioMCPUrl);

What's happening:

create spins up a short-lived MCP HTTP endpoint for this user
The toolkits array contains "facebook" for Facebook access
session.mcp.url is the MCP URL that Mastra's MCPClient will connect to

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 Facebook toolkit

Create the Mastra agent

typescript

const agent = new Agent({
    name: "facebook-mastra-agent",
    instructions: "You are an AI agent with Facebook 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

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: {
        facebook: 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 Facebook 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 Facebook 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: ["facebook"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "facebook-mastra-agent",
    instructions: "You are an AI agent with Facebook 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: { facebook: 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 Facebook 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 Facebook action and event your agent gets out of the box.

Assign Page Task

Assigns tasks/roles to a business-scoped user or system user for a specific Facebook Page.

Create Comment

Creates a comment on a Facebook post or replies to an existing comment.

Create Multi-Photo Post

Publish one Facebook Page feed post containing one or more photos from public URLs.

Create Photo Post

Creates a photo post on a Facebook Page.

Create Post

Creates a new text or link post on a Facebook Page.

Create Video Post

Creates a video post on a Facebook Page.

Delete Comment

Deletes a Facebook comment.

Delete Post

Permanently deletes a Facebook Page post.

Get Comment

Retrieves details of a specific Facebook comment.

Get Comments

Retrieves comments from a Facebook post or comment (for replies).

Get Conversation Messages

Retrieves messages from a specific conversation.

Get Current User

Validates the access token and retrieves the authenticated user's own profile via /me.

Get Graph Object

Read caller-selected fields from an identified Facebook Graph node using permissions already granted to the connection.

Get Message Details

Retrieves details of a specific message sent or received by the Page.

Get Page Conversations

Retrieves a list of conversations between users and the Page.

Get Page Details

Fetches details about a specific Facebook Page.

Get Page Insights

Retrieves analytics and insights for a Facebook Page.

Get Page Photos

Retrieves photos from a Facebook Page.

Get Page Posts

Retrieves posts from a Facebook Page.

Get Page Roles

Retrieves a list of people and their tasks/roles on a Facebook Page.

Get Page Tagged Posts

Retrieves posts where a Facebook Page is tagged or mentioned.

Get Page Videos

Retrieves videos from a Facebook Page.

Get Post

Retrieves details of a specific Facebook post.

Get Post Insights

Retrieves analytics and insights for a specific Facebook post.

Get Post Reactions

Retrieves reactions (like, love, wow, etc.

Get Scheduled Posts

Retrieves scheduled and unpublished posts for a Facebook Page.

Add Reaction

Adds a LIKE reaction to a Facebook post or comment.

List Ad Accounts

List ad accounts available to the authenticated Facebook user.

List Businesses

List Business Manager businesses accessible to the connected Facebook user, including selected business details and permitted roles.

List Managed Pages

Retrieves a list of Facebook Pages that the user manages (not personal profiles), including page details, access tokens, and tasks.

List Owned Pages

List Facebook Pages owned by a Business Manager business.

List Permissions

List granted, declined, or expired Facebook permissions for the connected user and app.

Mark Message Seen

Marks a user's message as seen by the Page, visibly updating the read status in the user's conversation.

Publish Scheduled Post

Publishes a previously scheduled or unpublished Facebook post immediately.

Refresh URL Scrape

Ask Facebook to rescrape a public HTTP or HTTPS URL, optionally returning requested URL metadata fields.

Remove Page Task

Removes a user's tasks/access from a specific Facebook Page.

Reschedule Post

Changes the scheduled publish time of an unpublished Facebook post.

Send Media Message

Sends a media message (image, video, audio, or file) from the Page to a user.

Send Message

Sends a text message from a Facebook Page (not personal profiles) to a user via Messenger.

Toggle Typing Indicator

Shows or hides the typing indicator for a user in Messenger.

Unlike Post or Comment

Removes a like from a Facebook post or comment.

Update Comment

Updates an existing Facebook comment.

Update Page Settings

Updates settings for a specific Facebook Page.

Update Post

Updates an existing Facebook Page post.

Upload Photos Batch

Uploads up to 50 independent photos to a Facebook Page or Album using the Graph batch API.

FRAMEWORKS

How to build Facebook MCP Agent with another framework

Claude Code

Use Facebook MCP with Claude Code

Cursor

Use Facebook MCP with Cursor

ChatGPT

Use Facebook MCP with ChatGPT

Claude Cowork

Use Facebook MCP with Claude Cowork

Antigravity

Use Facebook MCP with Antigravity

OpenAI Agents SDK

Use Facebook MCP with OpenAI Agents SDK

Claude Agent SDK

Use Facebook MCP with Claude Agent SDK

Grok Bot

Use Facebook MCP with Grok Bot

Codex

Use Facebook MCP with Codex

Grok Build

Use Facebook MCP with Grok Build

VS Code

Use Facebook MCP with VS Code

OpenCode

Use Facebook MCP with OpenCode

OpenClaw

Use Facebook MCP with OpenClaw

Hermes

Use Facebook MCP with Hermes

Atomic Agent

Use Facebook MCP with Atomic Agent

Google ADK

Use Facebook MCP with Google ADK

LangChain

Use Facebook MCP with LangChain

Vercel AI SDK

Use Facebook MCP with Vercel AI SDK

LlamaIndex

Use Facebook MCP with LlamaIndex

CrewAI

Use Facebook MCP with CrewAI

Pydantic AI

Use Facebook MCP with Pydantic AI

AutoGen

Use Facebook MCP with AutoGen

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FAQ

Frequently asked questions

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

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

Start with Facebook.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Facebook tool your agent needs.Free to start.

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How to integrate Facebook MCP with Mastra AI

Connect Facebook without auth hassles

Introduction

Also integrate Facebook with

TL;DR

What is Mastra AI?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import libraries and validate environment

Create a Tool Router session for Facebook

Configure Mastra MCP client and fetch tools

Create the Mastra agent

Set up interactive chat interface

Complete Code

Conclusion

Supported Tools

How to build Facebook MCP Agent with another framework

Claude Code

Cursor

ChatGPT

Claude Cowork

Antigravity

OpenAI Agents SDK

Claude Agent SDK

Grok Bot

Codex

Grok Build

VS Code

OpenCode

OpenClaw

Hermes

Atomic Agent

Google ADK

LangChain

Vercel AI SDK

LlamaIndex

CrewAI

Pydantic AI

AutoGen

Explore Other Toolkits

Reddit

Linkedin

Active campaign

ActiveTrail

Frequently asked questions

What are the differences in Tool Router MCP and Facebook MCP?+

Can I use Tool Router MCP with Mastra AI?+

Can I manage the permissions and scopes for Facebook while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Facebook.It takes 30 seconds.