How to integrate Encodian MCP with Autogen

This guide walks you through connecting Encodian to AutoGen 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 AutoGen 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 AutoGen 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 AutoGen 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 SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Encodian
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Encodian tools
  • Run a live chat loop where you ask the agent to perform Encodian operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Encodian account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Encodian via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Encodian connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Encodian session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["encodian"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Encodian tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Encodian assistant agent with MCP tools
    agent = AssistantAgent(
        name="encodian_assistant",
        description="An AI assistant that helps with Encodian operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Encodian tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Encodian related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Encodian tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

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

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Encodian session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["encodian"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Encodian assistant agent with MCP tools
        agent = AssistantAgent(
            name="encodian_assistant",
            description="An AI assistant that helps with Encodian operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Encodian related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Encodian through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Encodian, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
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

LangChain logo

LangChain

Use Encodian MCP with LangChain

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. Autogen 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.

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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.

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Jerome Leclanche
Co-Founder, Ingram Technologies