How to integrate iLovePDF MCP with Claude Agent SDK

This guide walks you through connecting iLovePDF to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working iLovePDF agent that can compress pdfs, merge your documents, split pdfs, convert images to pdf, and turn pdfs into images through natural language commands. This guide will help you understand how to give your Claude Agent SDK agent real control over a iLovePDF account through Composio's iLovePDF MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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iLovePDF is a PDF and image processing API for converting, compressing, editing, and signing files. Use it to automate document workflows without building PDF tooling from scratch.

9 Tools

Introduction

This guide walks you through connecting iLovePDF to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working iLovePDF agent that can compress pdfs, merge your documents, split pdfs, convert images to pdf, and turn pdfs into images through natural language commands.

This guide will help you understand how to give your Claude Agent SDK agent real control over a iLovePDF account through Composio's iLovePDF MCP server.

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

Also integrate iLovePDF with

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TL;DR

Here's what you'll learn:
  • Get and set up your Claude/Anthropic and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for iLovePDF
  • Configure an AI agent that can use iLovePDF as a tool
  • Run a live chat session where you can ask the agent to perform iLovePDF operations

What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.

Key features include:

  • Native MCP Support: Built-in support for Model Context Protocol servers
  • Permission Modes: Control tool execution permissions
  • Streaming Responses: Real-time response streaming for interactive applications
  • Context Manager: Clean async context management for sessions

What is the iLovePDF MCP server, and what's possible with it?

The iLovePDF MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your iLovePDF account. It provides structured and secure access to your PDF and image processing tools, so your agent can compress files, convert formats, merge documents, split PDFs, and monitor processing tasks on your behalf.

  • PDF and image compression: Have your agent compress one or more PDFs or images to reduce file sizes and return the processed files.
  • PDF and image conversion: Direct your agent to turn images into PDFs or convert PDF pages into images.
  • PDF merging: Instruct your agent to combine two or more PDFs in your chosen order and return one merged document.
  • Flexible PDF splitting: Let the agent split a PDF by page ranges or fixed intervals, or create a new document with selected pages removed.
  • Task and account management: Have your agent check processing progress, review output details and remaining allowance, or delete completed tasks and their files.

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:
  • Composio API Key and Claude/Anthropic API Key
  • Primary know-how of Claude Agents SDK
  • A iLovePDF account
  • Some knowledge of Python
2

Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
  • Go to the Anthropic Console and create an API key. You'll need credits to use the models.
  • 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 @anthropic-ai/claude-agent-sdk @composio/core dotenv

Install the Composio SDK and the Claude Agents SDK.

What's happening:

  • @composio/core provides Composio integration for Anthropic
  • @anthropic-ai/claude-agent-sdk is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID identifies the user for session management
  • ANTHROPIC_API_KEY authenticates with Anthropic/Claude
5

Import dependencies

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

dotenv.config();
What's happening:
  • We're importing all necessary libraries including the Claude Agent SDK and Composio
  • The dotenv.config() function loads environment variables from your .env file
  • This setup prepares the foundation for connecting Claude with iLovePDF functionality
6

Create a Composio instance and Tool Router session

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });

  // Create Tool Router session for iLovePDF
  const session = await composio.create(USER_ID, {
    toolkits: ['i_love_pdf'],
  });
  const mcpUrl = session?.mcp.url;
What's happening:
  • The function checks for the required COMPOSIO_API_KEY environment variable
  • We're creating a Composio instance using our API key
  • The create method creates a Tool Router session for iLovePDF
  • The returned url is the MCP server URL that your agent will use
7

Configure Claude Agent with MCP

const options: Options = {
  permissionMode: 'bypassPermissions',
  mcpServers: {
    composio: {
      type: 'http',
      url: mcpUrl,
      headers: { 'x-api-key': COMPOSIO_API_KEY }
    }
  },
  systemPrompt: 'You are a helpful assistant with access to iLovePDF tools via Composio.',
  maxTurns: 10,
};
What's happening:
  • We're configuring the Claude Agent options with the MCP server URL
  • permissionMode: 'bypassPermissions' allows the agent to execute operations without asking for permission each time
  • The system prompt instructs the agent that it has access to iLovePDF
  • maxTurns: 10 limits the conversation length to prevent excessive API usage
8

Create client and start chat loop

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}
What's happening:
  • The readline interface is created to handle user input and output
  • The query function is used to send the user's input to the agent
  • The chat loop continues until the user types 'exit' or 'quit'
9

Run the application

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
What's happening:
  • The chat function is the entry point for the application
  • The try-catch block is used to handle any errors that occur

Complete Code

Here's the complete code to get you started with iLovePDF and Claude Agent SDK:

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });
  const session = await composio.create(USER_ID, {
    toolkits: ['i_love_pdf']
  });
  const mcp_url = session?.mcp.url;

  const options: Options = {
    permissionMode: 'bypassPermissions',
    mcpServers: {
      composio: {
        type: 'http',
        url: mcp_url,
        headers: { 'x-api-key': COMPOSIO_API_KEY }
      }
    },
    systemPrompt: 'You are a helpful assistant with access to iLovePDF tools via Composio.',
    maxTurns: 10,
  };

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

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}

Conclusion

You've successfully built a Claude Agent SDK agent that can interact with iLovePDF through Composio's Tool Router.

Key features:

  • Native MCP support through Claude's agent framework
  • Streaming responses for real-time interaction
  • Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

Every iLovePDF action and event your agent gets out of the box.

Compress Images

Compress one or more images and immediately return the resulting image or ZIP as an offloaded download.

Compress PDFs

Compress one or more PDFs and return the stored PDF or ZIP output in one workflow: task creation, ordered uploads, synchronous processing, download, and best-effort cleanup.

Convert Images to PDF

Convert one or more images into PDF output using iLovePDF's documented defaults and immediately return the generated PDF or ZIP as an offloaded download.

Convert PDF to Images

Convert a PDF using iLovePDF's default PDF-to-JPG behavior and immediately return the generated image or ZIP as an offloaded download.

Delete Task

Immediately delete an iLovePDF task and its related uploaded and processed files from the task's assigned worker.

Get Account Info

Return the connected iLovePDF project's account type and remaining processing allowance.

Get Task Status

Inspect an iLovePDF task's current state and output metadata on its assigned worker.

Merge PDFs

Merge two or more PDFs in the supplied order and return the merged file in one workflow.

Split PDF

Split one PDF by explicit ranges, fixed page intervals, or removed pages and return the resulting PDF or ZIP.

FRAMEWORKS

How to build iLovePDF MCP Agent with another framework

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OpenAI Agents SDK

Use iLovePDF MCP with OpenAI Agents SDK

Claude Code logo

Claude Code

Use iLovePDF MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use iLovePDF MCP with Claude Cowork

Codex logo

Codex

Use iLovePDF MCP with Codex

OpenClaw logo

OpenClaw

Use iLovePDF MCP with OpenClaw

Hermes logo

Hermes

Use iLovePDF MCP with Hermes

CLI logo

CLI

Use iLovePDF MCP with CLI

Google ADK logo

Google ADK

Use iLovePDF MCP with Google ADK

LangChain logo

LangChain

Use iLovePDF MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use iLovePDF MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use iLovePDF MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use iLovePDF MCP with LlamaIndex

CrewAI logo

CrewAI

Use iLovePDF MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. Claude Agent SDK 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 iLovePDF tools.

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

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