How to integrate redirect.pizza MCP with LangChain

This guide walks you through connecting redirect.pizza to LangChain 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 LangChain 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 LangChain 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 LangChain 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:
  • Get and set up your OpenAI and Composio API keys
  • Connect your redirect.pizza project to Composio
  • Create a Tool Router MCP session for redirect.pizza
  • Initialize an MCP client and retrieve redirect.pizza tools
  • Build a LangChain agent that can interact with redirect.pizza
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI 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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with redirect.pizza functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to redirect.pizza tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['redirect_pizza']
    }
);

const url = session.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
  • This approach allows the agent to dynamically load and use redirect.pizza tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "redirect_pizza-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our redirect.pizza MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available redirect.pizza tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any redirect.pizza related question or task to the agent.\n");

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with redirect.pizza and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['redirect_pizza']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "redirect_pizza-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any redirect.pizza related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with redirect.pizza through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
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. LangChain 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.

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