How to integrate Encodian MCP with LlamaIndex

This guide walks you through connecting Encodian to LlamaIndex 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 LlamaIndex 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 will help you understand how to give your LlamaIndex 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.

Also integrate Encodian with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI CrewAI

TL;DR

Here's what you'll learn:

Set your OpenAI and Composio API keys
Install LlamaIndex and Composio packages
Create a Composio Tool Router session for Encodian
Connect LlamaIndex to the Encodian MCP server
Build a Encodian-powered agent using LlamaIndex
Interact with Encodian through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

ReAct Agent: Reasoning and acting pattern for tool-using agents
MCP Tools: Native support for Model Context Protocol
Context Management: Maintain conversation context across interactions
Async Support: Built for async/await patterns

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:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS

Prerequisites

Before you begin, make sure you have:

Python 3.8/Node 16 or higher installed
A Composio account with the API key
An OpenAI API key
A Encodian account and project
Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Encodian

OpenAI API key (OPENAI_API_KEY)

Go to the OpenAI dashboard
Create an API key if you don't have one
Assign it to OPENAI_API_KEY in .env

Composio API key and user ID

Log into the Composio dashboard
Copy your API key from Settings
- Use this as COMPOSIO_API_KEY
Pick a stable user identifier (email or ID)
- Use this as COMPOSIO_USER_ID

Installing dependencies

npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv

Create a new Typescript project and install the necessary dependencies:

@composio/llamaindex: Composio's LlamaIndex integration
@llamaindex/openai: OpenAI LLM integration
@llamaindex/tools: MCP client for LlamaIndex
@llamaindex/workflow: Workflow framework for LlamaIndex
dotenv: Environment variable management

Set environment variables

bash

OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

Authenticate with OpenAI's GPT-5 model
Connect to Composio's Tool Router
Identify your Composio user session for Encodian access

Import modules

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

Create a new file called encodian_llamaindex_agent.ts and import the required modules:

Key imports:

dotenv.config loads .env at runtime
readline gives us a simple CLI chat loop
Composio is the main Composio SDK client
mcp connects to an MCP endpoint
createAgent builds a LlamaIndex agent
openai configures the LLM backend

Load environment variables and initialize Composio

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

Create a Tool Router session and build the agent function

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

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

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["encodian"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Encodian actions." ,
    llm,
    tools,
  });

  return agent;
}

What's happening here:

We create a Composio client using your API key and configure it with the LlamaIndex provider
We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, encodian)
The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
LlamaIndex will connect to this endpoint to dynamically discover and use the available Encodian tools.
The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.

Create an interactive chat loop

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

What's happening:

We're creating a direct terminal interface to chat with Encodian
The LLM's responses are streamed to the CLI for faster interaction.
The agent uses context to maintain conversation history
The agent processes the request, selects appropriate Encodian tools, and returns a result
We extract the answer from the result data structure and display it to the user
You can type 'quit' or 'exit' to stop the chat loop gracefully
Agent responses and any errors are streamed in a clear, readable format

Define the main entry point

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();

What's happening here:

We're orchestrating the entire application flow
The agent gets built with proper error handling
Then we kick off the interactive chat loop so you can start talking to Encodian

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Encodian, then start asking questions.

Complete Code

Here's the complete code to get you started with Encodian and LlamaIndex:

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

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

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["encodian"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Encodian actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();

Conclusion

You've successfully connected Encodian to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:

Tool Router dynamically exposes Encodian tools through an MCP endpoint
LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
The agent becomes more capable without increasing prompt size
Async Python provides clean, efficient execution of agent workflows

You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

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

Use Encodian MCP with OpenAI Agents SDK

Claude Agent SDK

Use Encodian MCP with Claude Agent SDK

Claude Code

Use Encodian MCP with Claude Code

Claude Cowork

Use Encodian MCP with Claude Cowork

Codex

Use Encodian MCP with Codex

OpenClaw

Use Encodian MCP with OpenClaw

Hermes

Use Encodian MCP with Hermes

CLI

Use Encodian MCP with CLI

Google ADK

Use Encodian MCP with Google ADK

LangChain

Use Encodian MCP with LangChain

Vercel AI SDK

Use Encodian MCP with Vercel AI SDK

Mastra AI

Use Encodian MCP with Mastra AI

CrewAI

Use Encodian MCP with CrewAI

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Google Drive

Oauth2

Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.

Google Docs

Oauth2

Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.

Google Super

Oauth2Api Key

Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.

Affinda

Api Key

Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data.

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. LlamaIndex 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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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.

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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.

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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

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

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

Co-Founder, Ingram Technologies