# How to integrate Dynapictures MCP with Autogen ```json { "title": "How to integrate Dynapictures MCP with Autogen", "toolkit": "Dynapictures", "toolkit_slug": "dynapictures", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/dynapictures/framework/autogen", "markdown_url": "https://composio.dev/toolkits/dynapictures/framework/autogen.md", "updated_at": "2026-03-29T06:31:48.067Z" } ``` ## Introduction This guide walks you through connecting Dynapictures to AutoGen using the Composio tool router. By the end, you'll have a working Dynapictures agent that can generate 50 birthday cards from spreadsheet, create personalized coupon images for vips, update template text for a new campaign through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Dynapictures account through Composio's Dynapictures MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Dynapictures with - [OpenAI Agents SDK](https://composio.dev/toolkits/dynapictures/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/dynapictures/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/dynapictures/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/dynapictures/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/dynapictures/framework/codex) - [OpenClaw](https://composio.dev/toolkits/dynapictures/framework/openclaw) - [Hermes](https://composio.dev/toolkits/dynapictures/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/dynapictures/framework/cli) - [Google ADK](https://composio.dev/toolkits/dynapictures/framework/google-adk) - [LangChain](https://composio.dev/toolkits/dynapictures/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/dynapictures/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/dynapictures/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/dynapictures/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/dynapictures/framework/crew-ai) ## 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 Dynapictures - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Dynapictures tools - Run a live chat loop where you ask the agent to perform Dynapictures 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 Dynapictures MCP server, and what's possible with it? The Dynapictures MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dynapictures account. It provides structured and secure access so your agent can perform Dynapictures operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DYNAPICTURES_CREATE_WORKSPACE` | Create Workspace | Tool to create a new workspace for organizing templates, images, and media library assets. Use when you need to establish a new workspace within a Dynapictures account. | | `DYNAPICTURES_DELETE_WORKSPACE` | Delete Workspace | Tool to delete a workspace and all associated content (templates, media, generated images). Use when permanently removing a workspace. Warning: Deletion is permanent and cannot be undone. | | `DYNAPICTURES_LIST_TEMPLATES` | List Templates | Tool to get all image templates that are ready and have the 'Sync to Zapier' checkbox enabled. Use when you need to retrieve available templates for image generation. | | `DYNAPICTURES_LIST_WORKSPACES` | List Workspaces | Tool to get all workspaces associated with the API key. Use when you need to retrieve workspaces the authenticated user is a member of. | | `DYNAPICTURES_UNSUBSCRIBE_WEBHOOK` | Unsubscribe Webhook | Tool to unsubscribe from webhook notifications by providing the same parameters used during subscription. Use when you need to stop receiving notifications for a specific webhook. | | `DYNAPICTURES_UPDATE_WORKSPACE` | Update Workspace | Tool to update an existing workspace's details by workspace ID. Use when you need to modify a workspace's name or properties. | | `DYNAPICTURES_UPLOAD_MEDIA_ASSET` | Upload Media Asset | Tool to upload an image and create a media asset object. Use when you need to upload an image to Dynapictures workspace for later use in image generation. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Dynapictures MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Dynapictures. Instead of manually wiring Dynapictures APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Dynapictures account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Dynapictures via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables 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 Dynapictures connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Dynapictures tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```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 Dynapictures session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["dynapictures"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen 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 ```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")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Dynapictures tools from the workbench ```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 Dynapictures assistant agent with MCP tools agent = AssistantAgent( name="dynapictures_assistant", description="An AI assistant that helps with Dynapictures operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Dynapictures 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 ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Dynapictures 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") ``` ## Complete Code ```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 Dynapictures session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["dynapictures"] ) 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 Dynapictures assistant agent with MCP tools agent = AssistantAgent( name="dynapictures_assistant", description="An AI assistant that helps with Dynapictures 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 Dynapictures 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 Dynapictures 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 Dynapictures, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Dynapictures MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/dynapictures/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/dynapictures/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/dynapictures/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/dynapictures/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/dynapictures/framework/codex) - [OpenClaw](https://composio.dev/toolkits/dynapictures/framework/openclaw) - [Hermes](https://composio.dev/toolkits/dynapictures/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/dynapictures/framework/cli) - [Google ADK](https://composio.dev/toolkits/dynapictures/framework/google-adk) - [LangChain](https://composio.dev/toolkits/dynapictures/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/dynapictures/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/dynapictures/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/dynapictures/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/dynapictures/framework/crew-ai) ## Related Toolkits - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing. - [Figma](https://composio.dev/toolkits/figma) - Figma is a collaborative interface design tool for teams and individuals. It streamlines design workflows with real-time collaboration and easy sharing. - [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages. - [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections. - [Abyssale](https://composio.dev/toolkits/abyssale) - Abyssale is a creative automation platform for generating images, videos, GIFs, PDFs, and HTML5 content programmatically. It streamlines and scales visual content production for marketing, design, and operations teams. - [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach. - [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic. - [Alttext ai](https://composio.dev/toolkits/alttext_ai) - AltText.ai is a service that generates alt text for images automatically. It helps boost accessibility and SEO for your visual content. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Dynapictures MCP? With a standalone Dynapictures MCP server, the agents and LLMs can only access a fixed set of Dynapictures tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Dynapictures and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Autogen? 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 Dynapictures tools. ### Can I manage the permissions and scopes for Dynapictures while using Tool Router? Yes, absolutely. You can configure which Dynapictures 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. ### How safe is my data with Composio Tool Router? 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 Dynapictures data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)