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How to integrate Pdf co MCP with LangChain

Connect LangChain to Pdf co MCP. Extract invoice data from uploaded pdf file, convert excel spreadsheet at url to json, and more using natural language, with authentication handled for you.

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Pdf co is a secure API platform for PDF extraction, generation, editing, and more. It helps you automate document workflows at scale with ease and reliability.

49 Tools

Introduction

This guide walks you through connecting Pdf co to LangChain using the Composio tool router. By the end, you'll have a working Pdf co agent that can convert files to and from PDF, merge and split PDFs, extract text and tables, and compress documents through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Pdf co account through Composio's Pdf co MCP server.

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

Also integrate Pdf co with

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Pdf co project to Composio
  • Create a Tool Router MCP session for Pdf co
  • Initialize an MCP client and retrieve Pdf co tools
  • Build a LangChain agent that can interact with Pdf co
  • 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 Pdf co MCP server, and what's possible with it?

The Pdf co MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Pdf co account. It provides structured and secure access to your PDF.co capabilities, so your agent can extract data, generate documents, convert files, process barcodes, and manage asynchronous jobs on your behalf.

  • Automated PDF data extraction and parsing: Let your agent extract structured data from PDFs using templates or parse documents for key information—perfect for receipts, invoices, and more.
  • PDF creation, splitting, and merging: Generate new PDF files, combine multiple PDFs, or split documents into separate files without manual intervention.
  • File format conversion: Seamlessly convert Excel files to CSV, HTML, JSON, text, or XML, enabling efficient data analysis and workflow automation.
  • Barcode generation and processing: Instantly create various barcode formats (QR codes, Code128, PDF417, etc.) or encode data into barcodes for labeling and tracking.
  • Job management and file uploads: Upload documents to PDF.co, track the status of asynchronous jobs, and retrieve results—all through your agent, hands-free.

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 Pdf co 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 Pdf co 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: ['pdf_co']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Pdf co 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 Pdf co tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "pdf_co-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 Pdf co MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Pdf co 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 Pdf co 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 Pdf co 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: ['pdf_co']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "pdf_co-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 Pdf co 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 Pdf co 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 Pdf co action and event your agent gets out of the box.

Get Account Balance Info

Get the PDF.

Convert Excel to CSV

Convert an Excel file (XLS/XLSX) from a URL to CSV.

Convert Excel to HTML

Tool to convert an Excel file to HTML.

Convert Excel to JSON

Tool to convert an online Excel or CSV file to JSON format.

Convert Excel to Text

Tool to convert Excel files to plain text.

Convert Excel to XML

Convert an XLS, XLSX, or CSV file from a URL to XML.

Document Parser

Parse a PDF using a supplied custom template to extract structured data.

Upload File

Upload a local file or remote URL to PDF.

Get Presigned Upload URL

Generate URLs for directly uploading a named file to PDF.

Check Job Status

Check the status and result of an asynchronous PDF.

Add Content to PDF

Add content such as text, images, barcodes, or links to an existing PDF.

Auto-Rotate PDF Pages

Automatically detect and correct PDF page rotation using OCR.

Change PDF Text Searchable

Make scanned or image-only PDF text searchable using OCR.

Compress PDF

Compress a PDF using a preset or detailed image and font controls.

Convert PDF to Text (Simple)

Extract plain text from a text-based PDF without OCR or layout analysis.

Generate Barcode

Generate barcode images in 45+ formats, including QR Code, Code 128, and Code 39, with options such as rotation, QR decoration images, and async processing.

Upload File from Base64

Upload base64-encoded source data to create a temporary PDF.

Delete PDF Pages

Delete selected pages from a PDF using your own PDF.

Extract PDF Attachments

Extract embedded attachments from a PDF at a URL.

Find Text in PDF

Tool to find text in a PDF document.

Find Tables in PDF

Detect tables in a PDF.

PDF Forms Info Reader

Tool to extract form field information from a PDF.

Convert CSV or Excel to PDF

Convert CSV or spreadsheet pages to PDF with page-range and autosize controls.

Convert Text to PDF

Tool to convert a plain text (.

Convert Email to PDF

Convert standalone email files (.

Convert HTML to PDF

Convert a webpage or HTML resource at a URL to a PDF.

Convert Images to PDF

Convert one or more JPG, PNG, or TIFF images into a PDF.

Convert Webpage URL to PDF

Synchronously convert a webpage URL with timeout and legacy-renderer controls.

PDF Info Reader

Tool to retrieve detailed information and metadata of a PDF.

Merge PDFs

Tool to merge multiple PDF files into one document.

Optimize PDF (Retired; Use PDF Compress)

Optimize a PDF at a URL using PDF.

Replace PDF Text with Image

Replace matching text in a PDF with an image and return the edited PDF.

Rotate PDF Pages

Tool to rotate selected pages in a PDF.

Search and Delete Text in PDF

Search for and delete text in a PDF by keyword or regex.

Search and Replace Text in PDF

Tool to search for and replace text in a PDF document.

Add PDF Password and Security

Create a secured PDF copy with passwords and permission restrictions.

Remove PDF Security

Remove password protection and usage restrictions from a PDF copy.

Split PDF

Tool to split a PDF into multiple files by page ranges.

Convert PDF to CSV

Tool to convert PDF or scanned images to CSV format.

Convert PDF to HTML

Tool to convert PDF documents to HTML.

Convert PDF to Image

Convert PDF pages to PNG, JPG, or TIFF images for previews using a connected PDF.

Convert PDF to JSON

Convert PDF or scanned images to a structured JSON representation using a connected PDF.

Convert PDF to Text

Tool to convert PDF or scanned images to plain text.

Convert PDF to TIFF

Render PDF pages as TIFF with crop, OCR, and inline controls.

Convert PDF to WEBP

Convert selected pages of a PDF into WEBP images.

Convert PDF to XLS

Tool to convert PDF or scanned images to XLS format.

Convert PDF to XLSX

Tool to convert PDF or scanned images to XLSX (Excel) format.

Convert PDF to XML

Tool to convert PDF or scanned images to XML format.

Convert Excel to PDF

Convert a selected Excel worksheet or CSV to PDF, optionally inline.

FRAMEWORKS

How to build Pdf co MCP Agent with another framework

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Claude Code

Use Pdf co MCP with Claude Code

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Cursor

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ChatGPT logo

ChatGPT

Use Pdf co MCP with ChatGPT

Claude Cowork logo

Claude Cowork

Use Pdf co MCP with Claude Cowork

Antigravity logo

Antigravity

Use Pdf co MCP with Antigravity

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Pdf co MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Pdf co MCP with Claude Agent SDK

Codex logo

Codex

Use Pdf co MCP with Codex

Kimi Code logo

Kimi Code

Use Pdf co MCP with Kimi Code

Grok Build logo

Grok Build

Use Pdf co MCP with Grok Build

VS Code logo

VS Code

Use Pdf co MCP with VS Code

OpenCode logo

OpenCode

Use Pdf co MCP with OpenCode

OpenClaw logo

OpenClaw

Use Pdf co MCP with OpenClaw

Hermes logo

Hermes

Use Pdf co MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Pdf co MCP with Atomic Agent

CLI logo

CLI

Use Pdf co MCP with CLI

Google ADK logo

Google ADK

Use Pdf co MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Pdf co MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Pdf co MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Pdf co MCP with LlamaIndex

CrewAI logo

CrewAI

Use Pdf co MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Pdf co MCP with Pydantic AI

AutoGen logo

AutoGen

Use Pdf co MCP with AutoGen

FAQ

Frequently asked questions

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

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

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