How to integrate WoopSocial MCP with Pydantic AI

This guide walks you through connecting WoopSocial to Pydantic AI using the Composio tool router. By the end, you'll have a working WoopSocial agent that can create draft posts, view posts, list your projects, browse media, and manage your social accounts through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a WoopSocial account through Composio's WoopSocial MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

WoopSocial logoWoopSocial
Api Key

WoopSocial is a social media management API for publishing, scheduling, media, projects, accounts, and webhooks. It helps teams manage social workflows from one programmable platform.

20 Tools

Introduction

This guide walks you through connecting WoopSocial to Pydantic AI using the Composio tool router. By the end, you'll have a working WoopSocial agent that can create draft posts, view posts, list your projects, browse media, and manage your social accounts through natural language commands.

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

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

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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 WoopSocial
  • 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 WoopSocial 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 WoopSocial MCP server, and what's possible with it?

The WoopSocial MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your WoopSocial account. It provides structured and secure access to your social posts, media, projects, connected accounts, and webhooks, so your agent can draft, validate, publish, schedule, and track social content on your behalf.

  • Post drafting and validation: Have your agent create draft posts and validate proposed content before it reaches your audience.
  • Publishing and scheduling: Direct your agent to publish social posts immediately or schedule them for a future date and time.
  • Content and delivery tracking: Let the agent retrieve posts and review delivery records by project, connected account, platform, or status.
  • Media, project, and account management: Instruct your agent to upload or remove media, create or delete projects, and review or remove connected social accounts.
  • Publishing event notifications: Have your agent register, review, or remove webhooks for successful and failed publishing events.

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:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

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.
3

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 WoopSocial
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

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
5

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 WoopSocial
  • MCPServerStreamableHTTP connects to the WoopSocial MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

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 WoopSocial
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["woop_social"],
    )
    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 WoopSocial 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
woop_social_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[woop_social_mcp],
    instructions=(
        "You are a WoopSocial assistant. Use WoopSocial tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the WoopSocial endpoint
  • The agent uses GPT-5 to interpret user commands and perform WoopSocial operations
  • The instructions field defines the agent's role and behavior
8

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 WoopSocial.\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
  • WoopSocial API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

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 WoopSocial 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 WoopSocial
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["woop_social"],
    )
    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
    woop_social_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[woop_social_mcp],
        instructions=(
            "You are a WoopSocial assistant. Use WoopSocial 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 WoopSocial.\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 WoopSocial through Composio's Tool Router. With this setup, your agent can perform real WoopSocial 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 + WoopSocial 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 WoopSocial action and event your agent gets out of the box.

Create Draft Post

Save a post as a WoopSocial draft without publishing it externally.

Create Project

Create a WoopSocial project in the API key's organization.

Delete Media

Permanently delete one WoopSocial media-library item by its exact, explicitly supplied media ID.

Delete Post

Permanently delete a parent post by its exact ID.

Delete Project

Permanently delete a WoopSocial project by an exact, explicitly supplied project ID.

Delete Social Account

Permanently remove a connected social account from WoopSocial using its exact ID.

Delete Social Account Post

Permanently delete one social-account-specific post delivery using its exact delivery ID.

Delete Webhook

Permanently delete one WoopSocial webhook endpoint using its exact, explicitly supplied webhook ID.

Get Post

Get a parent post and its per-social-account delivery records by post ID.

Get Social Account Platform Inputs

Get dynamic Pinterest board choices or TikTok posting-policy options for a connected social account before constructing a post target.

List Media

List one page of WoopSocial media-library items, optionally filtered by project or exact media IDs.

List Projects

List all projects accessible to the connected WoopSocial API key.

List Social Account Posts

List one page of per-account post deliveries, optionally filtered by projects, social accounts, parent posts, platforms, or delivery statuses.

List Social Accounts

List connected social accounts available for publishing, optionally within one project.

List Webhooks

List registered WoopSocial webhook endpoints and their subscribed events.

Publish Post Now

Publish a post to external social platforms now; external publication is an irreversible action.

Register Webhook

Register a public HTTPS endpoint for WoopSocial publishing-success and/or publishing-failure events.

Schedule Post

Schedule automatic future publication to external social platforms; that future publication is irreversible.

Upload Media

Upload one image or video of at most 100 MB into a WoopSocial project using the atomic multipart endpoint.

Validate Post

Validate a proposed WoopSocial post without creating it.

FAQ

Frequently asked questions

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

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

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