How to integrate Hookdeck MCP with Autogen

Framework Integration Gradient
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Introduction

This guide walks you through connecting Hookdeck to AutoGen using the Composio tool router. By the end, you'll have a working Hookdeck agent that can retry all failed webhook events from today, create a new source for github webhooks, bookmark this event for quick review later, cancel scheduled retries for a specific webhook through natural language commands.

This guide will help you understand how to give your AutoGen agent real control over a Hookdeck account through Composio's Hookdeck 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 required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Hookdeck
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Hookdeck tools
  • Run a live chat loop where you ask the agent to perform Hookdeck 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 Hookdeck MCP server, and what's possible with it?

The Hookdeck MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Hookdeck account. It provides structured and secure access to your webhook management platform, so your agent can perform actions like routing webhooks, managing events, configuring sources and destinations, and automating retries or cancellations on your behalf.

  • Automated event management: Let your agent bulk cancel or retry multiple webhook events, keeping your pipeline clean and efficient without manual intervention.
  • Source and destination setup: Have the agent create, configure, and manage Hookdeck sources and destinations for seamless webhook routing between services.
  • Connection orchestration: Direct your agent to establish new connections between sources and destinations, ensuring events flow exactly where you want them to go.
  • Payload transformation: Empower the agent to create custom payload transformations using JavaScript, modifying webhook data before it reaches your endpoints.
  • Bookmarking and cleanup: Ask your agent to bookmark important events for quick access or delete outdated bookmarks to keep your workspace organized.

Supported Tools & Triggers

Tools
Bulk Cancel Hookdeck EventsTool to create a bulk cancellation job for events.
Bulk Retry Hookdeck EventsTool to initiate a bulk retry for a set of events.
Cancel Hookdeck EventTool to cancel all future delivery attempts for a specific event.
Cancel Hookdeck Scheduled RetriesTool to cancel all future scheduled retries for an event.
Create Hookdeck BookmarkTool to create a new bookmark.
Create Hookdeck ConnectionTool to create a connection between a source and a destination.
Create Hookdeck DestinationTool to create a new Hookdeck destination.
Create Hookdeck SourceTool to create a new Hookdeck source.
Create Hookdeck TransformationTool to create a new Hookdeck transformation.
Delete Hookdeck BookmarkTool to delete a specific bookmark by its ID.
Delete Hookdeck ConnectionTool to delete a specific connection by its ID.
Delete Hookdeck DestinationTool to delete a specific destination by its ID.
Delete Hookdeck SourceTool to delete a specific source by its ID.
Delete Hookdeck TransformationTool to delete a specific transformation by its ID.
Get Hookdeck AttemptTool to retrieve details of a specific Hookdeck attempt by its ID.
Get attemptsTool to list delivery attempts for your Hookdeck account.
Get Hookdeck ConnectionTool to retrieve details of a specific Hookdeck connection.
Hookdeck: Get ConnectionsTool to list Hookdeck connections.
Get Hookdeck DestinationTool to retrieve details of a specific Hookdeck destination.
Hookdeck: Get DestinationsTool to list Hookdeck destinations.
Get eventsTool to list events for your Hookdeck account.
Get Hookdeck RequestTool to retrieve details of a specific Hookdeck request.
Hookdeck: Get RequestsTool to list Hookdeck requests.
Get sourcesTool to retrieve all sources associated with your Hookdeck account.
Get Hookdeck TransformationTool to retrieve details of a specific Hookdeck transformation.
Get transformationsTool to list Hookdeck transformations.
Get Hookdeck SourceTool to retrieve details of a specific Hookdeck source.
Send Hookdeck Source RequestTool to send HTTP requests to a Hookdeck Source URL.
List Hookdeck BookmarksTool to list bookmarks.
Hookdeck: List IssuesTool to list all issues detected in your Hookdeck account.
Manually Retry Hookdeck EventTool to manually retry a specific Hookdeck event delivery.
Replay Hookdeck EventTool to replay a specific Hookdeck event.
Resolve Hookdeck IssueTool to resolve a Hookdeck issue.
Retrieve Hookdeck IssueTool to retrieve details of a specific Hookdeck issue.
Trigger Hookdeck BookmarkTool to trigger a stored request via its bookmark ID.
Hookdeck Update ConnectionTool to update an existing connection.
Update Hookdeck DestinationTool to update an existing Hookdeck destination.
Hookdeck Update SourceTool to update a Hookdeck source.
Update Hookdeck TransformationTool to update an existing Hookdeck transformation.

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

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Hookdeck account you can connect to Composio
  • Some basic familiarity with Autogen and Python async

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 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 Hookdeck via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

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 Hookdeck connections to use

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 Hookdeck session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["hookdeck"]
    )
    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 Hookdeck tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to

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

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 Hookdeck assistant agent with MCP tools
    agent = AssistantAgent(
        name="hookdeck_assistant",
        description="An AI assistant that helps with Hookdeck 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 Hookdeck tools from the workbench

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Hookdeck 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 Hookdeck 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 Hookdeck and AutoGen:

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 Hookdeck session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["hookdeck"]
    )
    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 Hookdeck assistant agent with MCP tools
        agent = AssistantAgent(
            name="hookdeck_assistant",
            description="An AI assistant that helps with Hookdeck 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 Hookdeck 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 Hookdeck 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 Hookdeck, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Hookdeck MCP Agent with another framework

FAQ

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

With a standalone Hookdeck MCP server, the agents and LLMs can only access a fixed set of Hookdeck tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Hookdeck and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with Autogen?

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 Hookdeck tools.

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

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

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