How to integrate Templated MCP with Autogen

This guide walks you through connecting Templated to AutoGen using the Composio tool router. By the end, you'll have a working Templated agent that can generate invoice pdf from customer data, list all available image templates, clone existing certificate template for edits through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Templated account through Composio's Templated MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Templated is a platform for designing templates and automating the creation of images and PDFs via API. It lets you dynamically generate branded content and documents at scale.

30 Tools

Introduction

This guide walks you through connecting Templated to AutoGen using the Composio tool router. By the end, you'll have a working Templated agent that can generate invoice pdf from customer data, list all available image templates, clone existing certificate template for edits through natural language commands.

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

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

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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 Templated
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Templated tools
  • Run a live chat loop where you ask the agent to perform Templated 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 Templated MCP server, and what's possible with it?

The Templated MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Templated account. It provides structured and secure access to your templates and renders, so your agent can generate dynamic documents, manage templates, clone or tag designs, and retrieve render results on your behalf.

  • Automated document and image generation: Instantly have your agent render PDFs or images from any saved template, filling in dynamic variables to create invoices, certificates, or marketing materials.
  • Template management and organization: Let your agent list, retrieve, clone, or delete templates, keeping your template library organized and up-to-date without manual effort.
  • Dynamic tagging and categorization: Easily add or remove tags from templates, enabling smarter organization and fast searching for specific designs or document types.
  • Render tracking and retrieval: Ask your agent to list all renders for a template or fetch detailed information about a specific document render, making it simple to track document creation and usage history.
  • Account insights and validation: Have your agent retrieve account information to confirm API access, check account metadata, or audit usage details as needed.

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 Templated 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 Templated 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 Templated 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 Templated session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["templated"]
    )
    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 Templated 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 Templated assistant agent with MCP tools
    agent = AssistantAgent(
        name="templated_assistant",
        description="An AI assistant that helps with Templated 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 Templated 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 Templated 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 Templated 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 Templated 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 Templated session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["templated"]
    )
    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 Templated assistant agent with MCP tools
        agent = AssistantAgent(
            name="templated_assistant",
            description="An AI assistant that helps with Templated 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 Templated 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 Templated 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 Templated, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Add Tags to Template

Tool to append new tags to an existing template without overwriting existing tags.

Clone Template

Tool to clone an existing template.

Count Template Clones

Tool to get the count of cloned templates for a specific source template.

Create Folder

Tool to create a new folder for organizing templates and renders.

Create Template Render

Create document renders from templates.

Create Template

Tool to create a new template with specified dimensions and layers.

Delete Folder

Tool to delete a folder by its ID.

Delete Render

Tool to delete a specific render by its ID.

Delete Template

Tool to delete a template by its unique ID.

Duplicate Template Render

Tool to duplicate an existing render with the same settings and template.

Get Account Information

Tool to retrieve account information, including email, name, team name, API usage statistics, and subscription plan.

List All Templates

Tool to list all templates of a user.

List Folder Renders

Tool to list all renders in a specific folder.

List Folders

Tool to list all folders in the account.

List Folder Templates

Tool to list all templates in a specific folder.

List Fonts

Tool to list all available fonts including Google Fonts and user-uploaded custom fonts.

List Gallery Templates

Tool to list templates from the public gallery.

List All Renders

Tool to list all renders in the account.

List Template Clones

Tool to list all cloned templates in the account.

List Template Renders

Tool to list all renders of a specific template.

List Uploads

Tool to list all uploaded images in the account.

Merge Template Renders

Tool to merge multiple renders into a single PDF output.

Move Render to Folder

Tool to move a render to a specific folder.

Move Template to Folder

Tool to move a template to a folder.

Remove Template Tags

Tool to remove specific tags from a template.

Retrieve Template Render

Tool to retrieve details of a specific render by its ID.

Retrieve Template

Tool to retrieve a single Template by its unique ID.

Update Folder

Tool to update an existing folder's properties.

Update Template

Tool to update an existing template including its properties and layers.

Update Template Tags

Tool to overwrite all tags on a template.

FRAMEWORKS

How to build Templated MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Templated MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Templated MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Templated MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Templated MCP with Claude Cowork

Codex logo

Codex

Use Templated MCP with Codex

OpenClaw logo

OpenClaw

Use Templated MCP with OpenClaw

Hermes logo

Hermes

Use Templated MCP with Hermes

CLI logo

CLI

Use Templated MCP with CLI

Google ADK logo

Google ADK

Use Templated MCP with Google ADK

LangChain logo

LangChain

Use Templated MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Templated MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Templated MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Templated MCP with LlamaIndex

CrewAI logo

CrewAI

Use Templated MCP with CrewAI

FAQ

Frequently asked questions

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

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

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