How to integrate Facebook MCP with OpenAI Agents SDK

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Introduction

This guide walks you through connecting Facebook to the OpenAI Agents SDK 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can post new product launch on our page, upload latest event photos to album, reply to comments on latest post, delete outdated promotional post through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK 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:
  • Get and set up your OpenAI and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Facebook
  • Configure an AI agent that can use Facebook as a tool
  • Run a live chat session where you can ask the agent to perform Facebook operations

What is open-ai-agents-sdk?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.

Key features include:

  • Hosted MCP Tools: Connect to external services through hosted MCP endpoints
  • SQLite Sessions: Persist conversation history across interactions
  • Simple API: Clean interface with Agent, Runner, and tool configuration
  • Streaming Support: Real-time response streaming for interactive applications

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.

Supported Tools & Triggers

Tools
Add Photos to AlbumAdds photos to an existing facebook album.
Add ReactionAdds a specific reaction (like, love, wow, etc.
Assign Page TaskAssigns tasks/roles to a user for a specific facebook page.
Create CommentCreates a comment on a facebook post or replies to an existing comment.
Create Photo AlbumCreates a new photo album on a facebook page.
Create Photo PostCreates a photo post on a facebook page.
Create PostCreates a new post on a facebook page.
Create Video PostCreates a video post on a facebook page.
Delete CommentDeletes a facebook comment.
Delete PostDeletes a facebook page post.
Get CommentRetrieves details of a specific facebook comment.
Get CommentsRetrieves comments from a facebook post or comment (for replies).
Get Conversation MessagesRetrieves messages from a specific conversation.
Get Message DetailsRetrieves details of a specific message sent or received by the page.
Get Page ConversationsRetrieves a list of conversations between users and the page.
Get Page DetailsFetches details about a specific facebook page.
Get Page InsightsRetrieves analytics and insights for a facebook page.
Get Page PhotosRetrieves photos from a facebook page.
Get Page PostsRetrieves posts from a facebook page.
Get Page RolesRetrieves a list of people and their tasks/roles on a facebook page.
Get Page VideosRetrieves videos from a facebook page.
Get PostRetrieves details of a specific facebook post.
Get Post InsightsRetrieves analytics and insights for a specific facebook post.
Get Post ReactionsRetrieves reactions (like, love, wow, etc.
Get Scheduled PostsRetrieves scheduled and unpublished posts for a facebook page.
Get User PagesRetrieves a list of pages the user manages, including tasks and access tokens.
Like Post or CommentLikes a facebook post or comment.
Mark Message SeenMarks a user's message as seen by the page.
Publish Scheduled PostPublishes a previously scheduled or unpublished facebook post immediately.
Remove Page TaskRemoves a user's tasks/access from a specific facebook page.
Reschedule PostChanges the scheduled publish time of an unpublished facebook post.
Send Media MessageSends a media message (image, video, audio, or file) from the page to a user.
Send MessageSends a text message from the page to a user via messenger.
Toggle Typing IndicatorShows or hides the typing indicator for a user in messenger.
Unlike Post or CommentRemoves a like from a facebook post or comment.
Update CommentUpdates an existing facebook comment.
Update Page SettingsUpdates settings for a specific facebook page.
Update PostUpdates an existing facebook page post.
Upload PhotoUploads a photo file directly to a facebook page.
Upload Photos BatchUploads multiple photo files in batch to a facebook page or album.
Upload VideoUploads a video file directly to a facebook page.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Tool Router works

The Tool Router 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

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Facebook project
  • Some knowledge of Python or Typescript

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

Install dependencies

pip install composio_openai_agents openai-agents python-dotenv

Install the Composio SDK and the OpenAI Agents SDK.

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

Import dependencies

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
What's happening:
  • You're importing all necessary libraries.
  • The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Facebook.

Set up the Composio instance

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
What's happening:
  • load_dotenv() loads your .env file so OPENAI_API_KEY and COMPOSIO_API_KEY are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.

Create a Tool Router session

# Create a Facebook Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["facebook"]
)

mcp_url = session.mcp.url

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only facebook.
  • The router checks the user's Facebook connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Facebook.
  • This approach keeps things lightweight and lets the agent request Facebook tools only when needed during the conversation.

Configure the agent

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Facebook. "
        "Help users perform Facebook operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Facebook and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a HostedMCPTool that connects to the MCP server URL we created earlier.
  • The headers dict includes the Composio API key for secure authentication with the MCP server.
  • require_approval: 'never' means the agent can execute Facebook operations without asking for permission each time, making interactions smoother.

Start chat loop and handle conversation

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
What's happening:
  • The program prints a session URL that you visit to authorize Facebook.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using Runner.run().
  • The responses are printed to the console, and conversations are saved locally using SQLite.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Facebook and open-ai-agents-sdk:

import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["facebook"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Facebook. "
        "Help users perform Facebook operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())

Conclusion

This was a starter code for integrating Facebook MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Facebook.

Key features:

  • Hosted MCP tool integration through Composio's Tool Router
  • SQLite session persistence for conversation history
  • Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

How to build Facebook MCP Agent with another framework

Claude Agent SDK

Claude Agent SDK

Use Facebook MCP with Claude Agent SDK

Google ADK

Google ADK

Use Facebook MCP with Google ADK

LangChain

LangChain

Use Facebook MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Facebook MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Facebook MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Facebook MCP with LlamaIndex

CrewAI

CrewAI

Use Facebook MCP with CrewAI

FAQ

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

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.

Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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.

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

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.

How safe is my data with Composio Tool Router?

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.

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