How to integrate Facebook MCP with CrewAI

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Introduction

This guide walks you through connecting Facebook to CrewAI 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can post new product launch on our page, upload latest event photos to album, reply to comments on latest post, delete outdated promotional post through natural language commands.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 CrewAI 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 a Composio API key and configure your Facebook connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Facebook
  • Build a conversational loop where your agent can execute Facebook operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Facebook connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python

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.

Install dependencies

bash
pip install composio crewai crewai-tools python-dotenv
What's happening:
  • composio connects your agent to Facebook via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools includes MCP helpers
  • python-dotenv loads environment variables from .env

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
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 with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional import if you plan to adapt tools
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Facebook MCP URL

Create a Composio Tool Router session for Facebook

python
composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
session = composio.create(
    user_id=os.getenv("USER_ID"),
    toolkits=["facebook"],
)
url = session.mcp.url
What's happening:
  • You create a Facebook only session through Composio
  • Composio returns an MCP HTTP URL that exposes Facebook tools

Configure the LLM

python
llm = LLM(
    model="gpt-5-mini",
    api_key=os.getenv("OPENAI_API_KEY"),
)
What's happening:
  • CrewAI will call this LLM for planning and responses
  • You can swap in a different model if needed

Attach the MCP server and create the agent

python
toolkit_agent = Agent(
    role="Facebook Assistant",
    goal="Help users interact with Facebook through natural language commands",
    backstory=(
        "You are an expert assistant with access to Facebook tools. "
        "You can perform various Facebook operations on behalf of the user."
    ),
    mcps=[
        MCPServerHTTP(
            url=url,
            streamable=True,
            cache_tools_list=True,
            headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
        ),
    ],
    llm=llm,
    verbose=True,
    max_iter=10,
)
What's happening:
  • MCPServerHTTP connects the agent to the Facebook MCP endpoint
  • cache_tools_list saves a tools catalog for faster subsequent runs
  • verbose helps you see what the agent is doing

Add a REPL loop with Task and Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to perform Facebook operations.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Based on the conversation history:\n{conversation_context}\n\n"
            f"Current user request: {user_input}\n\n"
            f"Please help the user with their Facebook related request."
        ),
        expected_output="A helpful response addressing the user's request",
        agent=toolkit_agent,
    )

    crew = Crew(
        agents=[toolkit_agent],
        tasks=[task],
        verbose=False,
    )

    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's happening:
  • You build a simple chat loop and keep a running context
  • Each user turn becomes a Task handled by the same agent
  • Crew executes the task and returns a response

Run the application

python
if __name__ == "__main__":
    main()
What's happening:
  • Standard Python entry point so you can run python crewai_facebook_agent.py

Complete Code

Here's the complete code to get you started with Facebook and CrewAI:

python
# file: crewai_facebook_agent.py
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()

def main():
    # Initialize Composio and create a Facebook session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["facebook"],
    )
    url = session.mcp.url

    # Configure LLM
    llm = LLM(
        model="gpt-5-mini",
        api_key=os.getenv("OPENAI_API_KEY"),
    )

    # Create Facebook assistant agent
    toolkit_agent = Agent(
        role="Facebook Assistant",
        goal="Help users interact with Facebook through natural language commands",
        backstory=(
            "You are an expert assistant with access to Facebook tools. "
            "You can perform various Facebook operations on behalf of the user."
        ),
        mcps=[
            MCPServerHTTP(
                url=url,
                streamable=True,
                cache_tools_list=True,
                headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
            ),
        ],
        llm=llm,
        verbose=True,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Try asking the agent to perform Facebook operations.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Based on the conversation history:\n{conversation_context}\n\n"
                f"Current user request: {user_input}\n\n"
                f"Please help the user with their Facebook related request."
            ),
            expected_output="A helpful response addressing the user's request",
            agent=toolkit_agent,
        )

        crew = Crew(
            agents=[toolkit_agent],
            tasks=[task],
            verbose=False,
        )

        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

if __name__ == "__main__":
    main()

Conclusion

You now have a CrewAI agent connected to Facebook through Composio's Tool Router. The agent can perform Facebook operations through natural language commands. Next steps:
  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations

How to build Facebook MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Facebook MCP with OpenAI Agents SDK

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

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 CrewAI?

Yes, you can. CrewAI 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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