How to integrate WoopSocial MCP with Autogen

This guide walks you through connecting WoopSocial to AutoGen 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 AutoGen 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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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.

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Introduction

This guide walks you through connecting WoopSocial to AutoGen 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 AutoGen 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.

Also integrate WoopSocial with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for WoopSocial
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call WoopSocial tools
  • Run a live chat loop where you ask the agent to perform WoopSocial operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A WoopSocial account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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 python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to WoopSocial via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's WoopSocial connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a WoopSocial session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["woop_social"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes WoopSocial tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create WoopSocial assistant agent with MCP tools
    agent = AssistantAgent(
        name="woop_social_assistant",
        description="An AI assistant that helps with WoopSocial operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the WoopSocial tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any WoopSocial related question or task to the agent.\n")

# Conversation loop
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")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which WoopSocial tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with WoopSocial and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

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

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create WoopSocial assistant agent with MCP tools
        agent = AssistantAgent(
            name="woop_social_assistant",
            description="An AI assistant that helps with WoopSocial operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any WoopSocial related question or task to the agent.\n")

        # Conversation loop
        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")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

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

Conclusion

You now have an Autogen assistant wired into WoopSocial through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for WoopSocial, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
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.

FRAMEWORKS

How to build WoopSocial MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use WoopSocial MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use WoopSocial MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use WoopSocial MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use WoopSocial MCP with Claude Cowork

Codex logo

Codex

Use WoopSocial MCP with Codex

OpenClaw logo

OpenClaw

Use WoopSocial MCP with OpenClaw

Hermes logo

Hermes

Use WoopSocial MCP with Hermes

CLI logo

CLI

Use WoopSocial MCP with CLI

Google ADK logo

Google ADK

Use WoopSocial MCP with Google ADK

LangChain logo

LangChain

Use WoopSocial MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use WoopSocial MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use WoopSocial MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use WoopSocial MCP with LlamaIndex

CrewAI logo

CrewAI

Use WoopSocial MCP with CrewAI

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. Autogen 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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