How to integrate Encodian MCP with LangChain

This guide walks you through connecting Encodian to LangChain using the Composio tool router. By the end, you'll have a working Encodian agent that can resize all images in project folder, extract author and page count from pdf, add custom header to every pdf file through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Encodian account through Composio's Encodian MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Introduction

This guide walks you through connecting Encodian to LangChain using the Composio tool router. By the end, you'll have a working Encodian agent that can resize all images in project folder, extract author and page count from pdf, add custom header to every pdf file through natural language commands.

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

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

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TL;DR

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

The Encodian MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Encodian account. It provides structured and secure access to your Encodian document automation suite, so your agent can perform actions like managing files, processing PDFs, encoding or decoding content, and automating workflow tasks on your behalf.

  • File management and property retrieval: Quickly get detailed information about files, move documents between containers, and keep your Microsoft 365 storage organized automatically.
  • Document processing and automation: Direct your agent to add headers and footers to PDFs, extract PDF metadata, or resize images for seamless document formatting and compliance tasks.
  • Base64 content conversion: Effortlessly encode text or files to Base64, or decode Base64 strings back to usable files for secure data exchange and workflow integration.
  • Archive extraction and manipulation: Unzip files and retrieve their contents, making it easy to automate bulk document handling or trigger downstream processing steps.
  • Data integrity and comparison tools: Use hashing and text comparison utilities to verify file integrity, detect changes, or ensure consistency across your documents and workflows.

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 Encodian 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 Encodian 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: ['encodian']
    }
);

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

Configure the agent with the MCP URL

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

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

Add Attachments to PDF

Tool to add file attachments to a PDF document.

Add Image Watermark to PDF

Tool to add an image watermark to a PDF document.

Add Image Watermark to PDF (Advanced)

Tool to add an advanced image watermark to a PDF with precise control over positioning, opacity, scale, quality, and rotation.

Array Add Items

Tool to add items to a JSON array at a specified position (first, last, or specific index).

Create ZIP Archive

Tool to create a ZIP archive from multiple documents.

Apply AI OCR to PDF

Tool to apply AI-powered OCR to a PDF document with optional preprocessing filters.

Apply OCR to PDF (Standard)

Tool to apply standard OCR to a PDF document with optional preprocessing filters.

Decode Base64 String

Tool to decode a Base64 string to a file.

Base64 Encode

Tool to encode a string to Base64.

Calculate Date

Tool to calculate a date by adding or subtracting a time interval from a given date.

Check Array Contains Value

Tool to check if a value exists within a JSON array.

Check Text Contains Value

Tool to check if a text string contains a specific value with configurable comparison rules.

Clean String

Tool to clean text by removing control characters, invalid filename characters, and custom character sets.

Clean Up Photo Image

Tool to clean up photo images by removing artifacts, correcting orientation, and enhancing quality.

Combine Arrays

Tool to combine two JSON arrays by matching a key attribute.

Compare Text

Tool to compare two text strings and determine if they match.

Compare Word Documents

Tool to compare two Microsoft Word or PDF documents and generate a document with tracked changes.

Compress Image

Tool to compress an image in JPG or PNG format.

Compress PDF

Tool to compress a PDF document by optimizing images, removing unused objects, and applying various compression techniques.

Concatenate Text

Tool to concatenate an array of text values with an optional delimiter.

Array to JSON

Tool to convert an array to a named JSON object.

Array to XML

Tool to convert a JSON array to XML format.

Convert File to PDF

Tool to convert a file to PDF format.

Convert HTML to Image

Tool to convert HTML content to an image.

Convert HTML to PDF (V2)

Tool to convert HTML content or a URL to PDF format (V2).

Convert HTML to Word

Tool to convert HTML content to Word (DOCX) format.

Convert Image to Grayscale

Tool to convert an image to grayscale.

Convert Image to PDF

Tool to convert an image file to PDF format with optional OCR.

Convert JSON to Excel

Tool to convert JSON data to Excel format.

Convert JSON to XML

Tool to convert JSON data to XML format.

Convert Time Zone

Tool to convert a date and time value from one time zone to another using Encodian's time zone conversion API.

Convert XML to JSON

Tool to convert XML strings to JSON format.

Count Array Items

Tool to count the number of items in a JSON array or object.

Create QR Code

Tool to generate a QR code barcode image with customizable size, colors, border, and encoding options.

Format Text Case

Tool to format text with various case transformations (uppercase, lowercase, title case, etc.

Hash Data

Tool to compute a cryptographic hash (MD5, SHA256, etc.

Unzip File

Extracts all files from a ZIP archive and returns their base64-encoded contents.

Get Convert Excel Schema

Tool to retrieve the dynamic schema for Excel conversion operations.

Get Convert Word Schema

Tool to retrieve the dynamic JSON schema for Word document conversion operations.

Get Convert CAD Schema

Tool to retrieve the dynamic schema for CAD file conversion operations.

Get Convert Image to PDF Schema

Tool to retrieve the dynamic schema for Convert - Image to PDF operations.

Get Convert PowerPoint Schema

Tool to retrieve the dynamic schema for PowerPoint conversion operations.

Get Convert Visio Schema

Tool to retrieve the dynamic schema for Visio file conversion.

Get Create Barcode Schema

Tool to retrieve the dynamic schema for creating a barcode.

Get Crop Image Schema

Tool to retrieve the dynamic schema for the Crop Image action.

Get Dynamic Schema for HTTP Request

Tool to retrieve the dynamic schema for the HTTP Request utility based on authentication type.

Get Word Insert Text Schema

Tool to retrieve the dynamic schema for Word Insert Text operations.

Get File Properties

Tool to retrieve properties of a file.

Get Operation Status for AIRunPromptText

Tool to get the operation status of an AIRunPromptText operation.

Get Operation Status for Encodian Send to Filer

Tool to get the operation status for an Encodian Send to Filer operation.

Get Operation Status Extract Image

Tool to retrieve the operation status of a PDF ExtractImage operation.

Get Operation Status for ExtractTextRegion

Tool to retrieve the operation status of an ExtractTextRegion operation.

Get Operation Status File Only

Tool to retrieve operation status for file-only operations.

Get Operation Status for Image Extract Text

Tool to get the operation status of an ImageExtractText operation.

Get Operation Status for Multiple Files

Tool to retrieve the operation status of a Word MultipleFiles operation.

Get Operation Status - PDF Split Barcode

Tool to retrieve operation status for a PDF split barcode operation.

Get Operation Status for Split Document

Tool to retrieve the operation status of a PDF SplitDocument operation.

Get Sign PDF Schema

Tool to retrieve the dynamic schema for PDF signing operations.

Get Subscription Status

Tool to retrieve Encodian subscription status for Flowr and Vertr.

Resize Image

Tool to resize an image by percentage or dimensions.

Move File

Tool to move a file between containers.

Add PDF Header Footer

Tool to add HTML header and footer to a PDF.

Get PDF Metadata

Extract comprehensive metadata and properties from PDF documents.

Watermark PDF

Tool to apply a text watermark to a PDF.

Read QR Code from Document

Tool to read QR codes from PDF or DOCX documents.

Word - Replace Text With Image

Tool to replace text with an image in a Word document.

Validate Email Address

Validates an email address string against a custom regex pattern using Encodian's validation API.

Validate URL Availability

Tool to validate the availability of a specified URL.

Write Range to Excel

Tool to write values to a cell range in an Excel worksheet.

FRAMEWORKS

How to build Encodian MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Encodian MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Encodian MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Encodian MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Encodian MCP with Claude Cowork

Codex logo

Codex

Use Encodian MCP with Codex

OpenClaw logo

OpenClaw

Use Encodian MCP with OpenClaw

Hermes logo

Hermes

Use Encodian MCP with Hermes

CLI logo

CLI

Use Encodian MCP with CLI

Google ADK logo

Google ADK

Use Encodian MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Encodian MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Encodian MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Encodian MCP with LlamaIndex

CrewAI logo

CrewAI

Use Encodian MCP with CrewAI

FAQ

Frequently asked questions

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

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

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati
Harsha Gaddipati
Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya
Abhi Arya
Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave
Nirman Dave
CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu
Ryan Yu
Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola
Tomisin Jenrola
Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche
Jerome Leclanche
Co-Founder, Ingram Technologies