How to integrate Hookdeck MCP with Pydantic AI

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Introduction

This guide walks you through connecting Hookdeck to Pydantic AI 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 Pydantic AI 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:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Hookdeck
  • 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 Hookdeck 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 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

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 Hookdeck
  • 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 Hookdeck
  • MCPServerStreamableHTTP connects to the Hookdeck 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 Hookdeck
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["hookdeck"],
    )
    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 Hookdeck 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
hookdeck_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[hookdeck_mcp],
    instructions=(
        "You are a Hookdeck assistant. Use Hookdeck tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Hookdeck endpoint
  • The agent uses GPT-5 to interpret user commands and perform Hookdeck 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 Hookdeck.\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
  • Hookdeck 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 Hookdeck and Pydantic AI:

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 Hookdeck
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["hookdeck"],
    )
    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
    hookdeck_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[hookdeck_mcp],
        instructions=(
            "You are a Hookdeck assistant. Use Hookdeck 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 Hookdeck.\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 Hookdeck through Composio's Tool Router. With this setup, your agent can perform real Hookdeck 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 + Hookdeck for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

How to build Hookdeck MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Hookdeck MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Hookdeck MCP with Claude Agent SDK

Google ADK

Google ADK

Use Hookdeck MCP with Google ADK

LangChain

LangChain

Use Hookdeck MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Hookdeck MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Hookdeck MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Hookdeck MCP with LlamaIndex

CrewAI

CrewAI

Use Hookdeck MCP with CrewAI

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 Pydantic AI?

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 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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