How to integrate redirect.pizza MCP with Pydantic AI

This guide walks you through connecting redirect.pizza to Pydantic AI using the Composio tool router. By the end, you'll have a working redirect.pizza agent that can list your domains, manage redirects, test redirect urls, generate qr codes, and check domain dns through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a redirect.pizza account through Composio's redirect.pizza MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

redirect.pizza logoredirect.pizza
Api Key

redirect.pizza is a URL redirection platform for managing domains and redirects. Use it to ship fast, trackable redirects without running redirect servers.

14 Tools

Introduction

This guide walks you through connecting redirect.pizza to Pydantic AI using the Composio tool router. By the end, you'll have a working redirect.pizza agent that can list your domains, manage redirects, test redirect urls, generate qr codes, and check domain dns through natural language commands.

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

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

Also integrate redirect.pizza with

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 redirect.pizza
  • 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 redirect.pizza 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 redirect.pizza MCP server, and what's possible with it?

The redirect.pizza MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your redirect.pizza account. It provides structured and secure access to your redirects, domains, team usage, redirect tests, and QR codes, so your agent can create redirects, manage domains, test URLs, monitor usage, and generate QR codes on your behalf.

  • Redirect creation and updates: Have your agent create redirects from one or more source addresses to a destination, update their settings, or create or update a matching redirect.
  • Redirect controls and cleanup: Let the agent list and inspect your redirects, pause or resume an entire redirect or a single source, and delete redirects you no longer need.
  • Domain and SSL checks: Direct your agent to review domain verification, required DNS records, security settings, and SSL status, or request a fresh DNS check.
  • URL testing and QR codes: Instruct your agent to test a public URL's next redirect hop, status, timing, and errors, or generate a QR code for any HTTP or HTTPS address.
  • Team quota monitoring: Have your agent check your team's hostname, redirect hit, and user quota usage before you reach account limits.

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 redirect.pizza
  • 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 redirect.pizza
  • MCPServerStreamableHTTP connects to the redirect.pizza 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 redirect.pizza
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["redirect_pizza"],
    )
    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 redirect.pizza 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
redirect_pizza_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[redirect_pizza_mcp],
    instructions=(
        "You are a redirect.pizza assistant. Use redirect.pizza tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the redirect.pizza endpoint
  • The agent uses GPT-5 to interpret user commands and perform redirect.pizza 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 redirect.pizza.\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
  • redirect.pizza 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 redirect.pizza 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 redirect.pizza
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["redirect_pizza"],
    )
    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
    redirect_pizza_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[redirect_pizza_mcp],
        instructions=(
            "You are a redirect.pizza assistant. Use redirect.pizza 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 redirect.pizza.\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 redirect.pizza through Composio's Tool Router. With this setup, your agent can perform real redirect.pizza 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 + redirect.pizza 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 redirect.pizza action and event your agent gets out of the box.

Check Domain DNS

Ask redirect.

Create Redirect

Create a new redirect from one or more source hostnames or URLs to a fixed destination URL using Free-safe redirect types.

Delete Redirect

Permanently delete a redirect and its generated domain association by redirect ID.

Generate QR Code

Generate a QR code for an HTTP or HTTPS URL as JSON-embedded PNG data or a downloadable PNG, SVG, or EPS file.

Get Domain

Retrieve one domain's required DNS records, verification status, security settings, and SSL state.

Get Redirect

Retrieve one redirect and its sources, destination, domains, options, and current pause state by redirect ID.

Get Team

Return the connected token's team identity and hostname, hit, and user quota usage.

List Domains

List domains created by redirects, including DNS requirements, verification, automatic-DNS availability, and SSL state.

List Redirects

List redirects visible to the connected API token, including source, destination, state, and domain details.

Set Redirect Paused

Pause or resume all source URLs belonging to one redirect.

Set Redirect Source Paused

Pause or resume one source URL within a redirect without changing its other sources.

Test Redirect URL

Test one HTTP redirect hop for a public URL and return status, redirect details, timing, errors, and the next URL to test if present.

Update Redirect

Replace a redirect's configurable sources, fixed destination, redirect type, and options.

Upsert Redirect

Create a redirect or update the uniquely matching redirect while retaining that redirect's existing sources.

FAQ

Frequently asked questions

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

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

Start with redirect.pizza.It takes 30 seconds.

Managed auth, hosted MCP servers, and every redirect.pizza tool your agent needs.Free to start.

Start building