How to integrate Facebook MCP with Pydantic AI

This guide walks you through connecting Facebook to Pydantic 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 Pydantic 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.

Get started for free Get a demo

Facebook

Oauth2

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.

39 Tools

Managed auth

Connect Facebook without auth hassles

We manage OAuth, API keys, token refresh, and scopes — you just build.

Try for free

Introduction

This guide will help you understand how to give your Pydantic 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.

Also integrate Facebook with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

How to set up your Composio API key and User ID
How to create a Composio Tool Router session for Facebook
How to attach an MCP Server to a Pydantic AI agent
How to stream responses and maintain chat history
How to build a simple REPL-style chat interface to test your Facebook workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

Type Safety: Built on Pydantic for automatic data validation
MCP Support: Native support for Model Context Protocol servers
Streaming: Built-in support for streaming responses
Async First: Designed for async/await patterns

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:

Python 3.9 or higher
A Composio account with an active API key
Basic familiarity with Python and async programming

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 pydantic-ai python-dotenv

Install the required libraries.

What's happening:

composio connects your agent to external SaaS tools like Facebook
pydantic-ai lets you create structured AI agents with tool support
python-dotenv loads your environment variables securely from a .env file

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

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your agent to Composio's API
USER_ID associates your session with your account for secure tool access
OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

What's happening:

We load environment variables and import required modules
Composio manages connections to Facebook
MCPServerStreamableHTTP connects to the Facebook MCP server endpoint
Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Facebook
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["facebook"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

What's happening:

We're creating a Tool Router session that gives your agent access to Facebook 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

Initialize the Pydantic AI Agent

python

# Attach the MCP server to a Pydantic AI Agent
facebook_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[facebook_mcp],
    instructions=(
        "You are a Facebook assistant. Use Facebook tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)

What's happening:

The MCP client connects to the Facebook endpoint
The agent uses GPT-5 to interpret user commands and perform Facebook operations
The instructions field defines the agent's role and behavior

Build the chat interface

python

# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Facebook.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()

What's happening:

The agent reads input from the terminal and streams its response
Facebook API calls happen automatically under the hood
The model keeps conversation history to maintain context across turns

Run the application

python

if __name__ == "__main__":
    asyncio.run(main())

What's happening:

The asyncio loop launches the agent and keeps it running until you exit

Complete Code

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

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Facebook
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["facebook"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    facebook_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[facebook_mcp],
        instructions=(
            "You are a Facebook assistant. Use Facebook tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Facebook.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Facebook through Composio's Tool Router. With this setup, your agent can perform real Facebook actions through natural language. You can extend this further by:

Adding other toolkits like Gmail, HubSpot, or Salesforce
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Facebook for workflow automation)

This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

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 Photo Album

Creates a new photo album on a Facebook Page.

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 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 Managed Pages

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

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.

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 multiple photo files in batch to a Facebook Page or Album.

FRAMEWORKS

How to build Facebook MCP Agent with another framework

ChatGPT

Use Facebook MCP with ChatGPT

OpenAI Agents SDK

Use Facebook MCP with OpenAI Agents SDK

Claude Agent SDK

Use Facebook MCP with Claude Agent SDK

Claude Code

Use Facebook MCP with Claude Code

Claude Cowork

Use Facebook MCP with Claude Cowork

Codex

Use Facebook MCP with Codex

Cursor

Use Facebook MCP with Cursor

OpenClaw

Use Facebook MCP with OpenClaw

Hermes

Use Facebook MCP with Hermes

CLI

Use Facebook MCP with CLI

Google ADK

Use Facebook MCP with Google ADK

LangChain

Use Facebook MCP with LangChain

Vercel AI SDK

Use Facebook MCP with Vercel AI SDK

Mastra AI

Use Facebook MCP with Mastra AI

LlamaIndex

Use Facebook MCP with LlamaIndex

CrewAI

Use Facebook MCP with CrewAI

OpenCode

Use Facebook MCP with OpenCode

VS Code

Use Facebook MCP with VS Code

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Oauth2

Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing.

Oauth2

LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.

Active campaign

Api Key

ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.

ActiveTrail

Api Key

ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease.

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. Pydantic 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.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

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.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

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.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Facebook MCP with Pydantic AI

Connect Facebook without auth hassles

Introduction

Also integrate Facebook with

TL;DR

What is Pydantic 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 dependencies

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

Complete Code

Conclusion

Supported Tools

How to build Facebook MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

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 Pydantic 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.

Teams ship real agents on Composio