# How to integrate Bannerbear MCP with Autogen ```json { "title": "How to integrate Bannerbear MCP with Autogen", "toolkit": "Bannerbear", "toolkit_slug": "bannerbear", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/bannerbear/framework/autogen", "markdown_url": "https://composio.dev/toolkits/bannerbear/framework/autogen.md", "updated_at": "2026-05-12T10:02:24.990Z" } ``` ## Introduction This guide walks you through connecting Bannerbear to AutoGen using the Composio tool router. By the end, you'll have a working Bannerbear agent that can merge multiple marketing pdfs into one file, list all video assets created this week, get available fonts for instagram templates through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Bannerbear account through Composio's Bannerbear MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Bannerbear with - [OpenAI Agents SDK](https://composio.dev/toolkits/bannerbear/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/bannerbear/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/bannerbear/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/bannerbear/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/bannerbear/framework/codex) - [OpenClaw](https://composio.dev/toolkits/bannerbear/framework/openclaw) - [Hermes](https://composio.dev/toolkits/bannerbear/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/bannerbear/framework/cli) - [Google ADK](https://composio.dev/toolkits/bannerbear/framework/google-adk) - [LangChain](https://composio.dev/toolkits/bannerbear/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/bannerbear/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/bannerbear/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/bannerbear/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/bannerbear/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 Bannerbear - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Bannerbear tools - Run a live chat loop where you ask the agent to perform Bannerbear 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 Bannerbear MCP server, and what's possible with it? The Bannerbear MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bannerbear account. It provides structured and secure access to your Bannerbear workspace, so your agent can generate images, create videos, manage templates, merge PDFs, and retrieve creative assets on your behalf. - Automated image and video generation: Enable your agent to create customized graphics or videos at scale using your Bannerbear templates and project assets. - Template browsing and management: Let your agent list, inspect, and select templates or template sets for creative projects, making it easy to automate content workflows. - Font and asset discovery: Have your agent retrieve available fonts and signed bases, ensuring the right design elements are used for every creative output. - PDF merging automation: Direct your agent to combine multiple PDFs into a single document, streamlining report or collateral creation. - Account and usage monitoring: Allow your agent to fetch current account status, API usage, and quota information to keep your creative operations running smoothly. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `BANNERBEAR_CREATE_PROJECT` | Create Project | Creates a new Bannerbear project with the specified name and optional settings. Use this tool to create new projects for organizing templates and API resources. Note: This action requires a Master API Key. Project-specific API keys cannot create new projects. | | `BANNERBEAR_CREATE_SIGNED_BASE` | Create Signed Base | Tool to create a signed URL base for a template. Used for generating images via signed URLs. Signed bases enable on-demand image generation using encrypted URL parameters without requiring API calls for each image. Use when you need to create dynamic images through URL manipulation. | | `BANNERBEAR_CREATE_TEMPLATE` | Create Template | Create a new blank template in a Bannerbear project. Use when you need to programmatically create templates via API. Note: Templates can only be created via API if you have a Master API Key. | | `BANNERBEAR_CREATE_TEMPLATE_SET` | Create Template Set | Tool to create a new template set by grouping multiple templates together. Use when you need to organize related templates into a single set for batch image generation. Template sets allow you to apply the same modifications to multiple templates simultaneously via a single API call. | | `BANNERBEAR_CREATE_VIDEO_TEMPLATE` | Create Video Template | Tool to create a new video template for video generation in Bannerbear. Video templates are based on existing image templates and hold additional rendering instructions for creating videos. Use when you need to set up a reusable template for generating videos with overlays, transcriptions, or multi-layer video compositions. | | `BANNERBEAR_CREATE_WEBHOOK` | Create Webhook | Create a project-level webhook that fires for all events of a specific type. Use this tool to register a URL that will receive POST requests when events occur in your Bannerbear project. Note: When using a Master API Key, you must provide a project_id parameter. Project API Keys do not require project_id. | | `BANNERBEAR_DELETE_TEMPLATE` | Delete Template | Tool to delete a template referenced by its unique ID. Use when you need to permanently remove a template from a Bannerbear project. Note: This action requires a project_id when using a Master API Key. | | `BANNERBEAR_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook referenced by its unique ID. Use when you need to remove a webhook that is no longer needed. Requires the webhook UID and project ID (when using Master API Key). | | `BANNERBEAR_GET_ACCOUNT_INFO` | Get Account Info | Retrieves Bannerbear account information including subscription plan, API usage, and quota limits. Use this tool to: - Check current API usage and remaining quota (resets monthly) - Verify the subscription plan - Get details about the current project Note: When using a Master API Key, you must provide a project_id parameter. Project API Keys do not require project_id. | | `BANNERBEAR_GET_ANIMATED_GIF` | Get Animated GIF | Tool to retrieve a single Animated Gif object by its unique identifier (UID). Use when you need to check the status of a specific animated GIF, get its rendered URL, or retrieve detailed information about its configuration. The status field indicates the rendering progress: 'pending' (still processing), 'completed' (ready with image_url populated), or 'failed'. Poll this endpoint to monitor rendering progress, or use webhook_url for automatic notifications. | | `BANNERBEAR_GET_AUTH` | Get Auth Status | Verify API authentication and check which project the API key is scoped to. Use this to validate credentials before making other API calls or to confirm the project context. | | `BANNERBEAR_GET_FONTS` | Get Available Fonts | This tool retrieves a list of all available fonts in Bannerbear. The fonts are categorized into Serif, Sans Serif, Novelty, International, and Custom, and can be used to verify font availability prior to creating or modifying images. | | `BANNERBEAR_GET_IMAGE` | Get Image | Retrieves a single Image object by its unique identifier (UID). Use this to check the status of an image generation request, retrieve the final image URL, or poll for completion. When using a Master API Key, you must provide the project_id parameter. | | `BANNERBEAR_GET_PROJECT` | Get Project | Retrieves detailed information about a specific Bannerbear project by its unique identifier (UID). Use this tool to get project details including name, creation date, template count, and feature settings. | | `BANNERBEAR_GET_SCREENSHOT` | Get Screenshot | Retrieve a single Screenshot object referenced by its unique ID. Use when you need to check the status or get the final screenshot URL for a previously created screenshot. | | `BANNERBEAR_GET_SIGNED_BASES` | Get Signed Bases | This tool retrieves a list of signed bases for a specific template. Signed bases are used to generate on-demand images using encrypted URL parameters. The endpoint returns a list of base URLs that can be used with the Signed URL feature. | | `BANNERBEAR_GET_TEMPLATE` | Get Template | Tool to retrieve a single template by its unique ID with layer defaults. Use when you need to get detailed information about a specific template including its dimensions, available modifications, and layer structure. | | `BANNERBEAR_GET_TEMPLATE_SET` | Get Template Set Details | This tool retrieves detailed information about a specific template set using its unique identifier (UID). Template Sets are sets of Templates that you group together in the Bannerbear dashboard. It provides comprehensive details about the template set including its name, available modifications, and the list of templates inside the set. | | `BANNERBEAR_GET_WEBHOOK` | Get Webhook | Retrieves a single Webhook object by its unique ID. Use this to get details about a specific webhook including its URL, event type, and creation timestamp. | | `BANNERBEAR_HYDRATE_PROJECT` | Hydrate Project | Hydrate a project by copying templates from another project. Useful for white-label setups where you need to duplicate templates across multiple projects. Both the source and destination projects must be under the same account. | | `BANNERBEAR_IMPORT_TEMPLATE` | Import Template | Tool to import templates from the Bannerbear template library or from other projects. Use when you need to add publicly-available templates to your project. Note: Only publication IDs (public templates) can be imported, not private template IDs. | | `BANNERBEAR_JOIN_PDFS` | Join PDFs | Merges multiple PDF files into a single combined PDF document. This tool accepts an array of publicly accessible PDF URLs and combines them in order into one merged PDF file. The operation is asynchronous - the response will initially have status 'pending' and you should poll the 'self' endpoint or use a webhook to get the final 'joined_pdf_url' when status becomes 'completed'. Note: When using a Master API Key (account-level key), you must provide the project_id parameter. | | `BANNERBEAR_LIST_ANIMATED_GIFS` | List Animated GIFs | Lists all animated GIFs in a Bannerbear project. Retrieves a paginated list of all animated GIFs that have been created in your Bannerbear project. When using a Master API Key, you must provide the project_id parameter. Returns up to 25 animated GIFs per page by default, configurable up to 100 using the limit parameter. | | `BANNERBEAR_LIST_COLLECTIONS` | List Collections | Lists all collections in a Bannerbear project. Retrieves a paginated list of all collections that have been created in your Bannerbear project. When using a Master API Key, you must provide the project_id parameter. Returns up to 25 collections per page by default, configurable up to 100 using the limit parameter. | | `BANNERBEAR_LIST_EFFECTS` | List Effects | Tool to list all available image effects in Bannerbear. Use when you need to discover which effects can be applied to images or templates in the Bannerbear API. | | `BANNERBEAR_LIST_IMAGES` | List Images | Lists all images in a Bannerbear project. Retrieves a paginated list of all images that have been created in your Bannerbear project. When using a Master API Key, you must provide the project_id parameter. Returns up to 25 images per page by default, configurable up to 100 using the limit parameter. | | `BANNERBEAR_LIST_PROJECTS` | List Projects | Lists all projects in a Bannerbear account. This action retrieves a paginated list of all projects in your Bannerbear account. Use when you need to discover available projects or obtain project UIDs for other actions. Requires a Master API Key (not a project-specific API key). | | `BANNERBEAR_LIST_SCREENSHOTS` | List Screenshots | Lists all screenshots in a Bannerbear project. Retrieves a paginated list of all screenshots that have been created in your Bannerbear project. When using a Master API Key, you must provide the project_id parameter. Returns up to 25 screenshots per page by default, configurable up to 100 using the limit parameter. | | `BANNERBEAR_LIST_TEMPLATES` | List Templates | This action retrieves a list of all templates available in your Bannerbear project. It returns an array of template objects including properties like uid, name, dimensions, creation and update timestamps, template type, preview URL, and modifications. The tool is used for listing templates, retrieving template UIDs for subsequent actions such as image or video creation, and managing project templates. | | `BANNERBEAR_LIST_TEMPLATE_SETS` | List Template Sets | Tool to list all template sets inside a project with pagination support. Template Sets are groups of Templates that you organize in the Bannerbear dashboard. Use when you need to retrieve all template sets or paginate through them. | | `BANNERBEAR_LIST_VIDEOS` | List Videos | This action retrieves a list of all videos created in your Bannerbear account. It returns an array of video objects including properties like uid, status, timestamps, video and preview URLs, as well as template and modification details. The tool is used for listing videos, monitoring video status, and managing project videos. | | `BANNERBEAR_LIST_VIDEO_TEMPLATES` | List Video Templates | This action retrieves a list of all video templates available in your Bannerbear project. It returns an array of video template objects including properties like uid, name, dimensions, and creation timestamps. The tool is used for listing video templates and retrieving template UIDs for subsequent video creation actions. | | `BANNERBEAR_UPDATE_TEMPLATE_SET` | Update Template Set | Tool to update a template set by modifying its list of templates. The template set will be cleared first and the new list applied. Use when you need to change which templates are included in a template set. Template Sets are sets of Templates that you group together in the Bannerbear dashboard. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Bannerbear MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Bannerbear. Instead of manually wiring Bannerbear 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 Bannerbear 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 Bannerbear 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 Bannerbear 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 Bannerbear 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 Bannerbear session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["bannerbear"] ) 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 Bannerbear 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 Bannerbear assistant agent with MCP tools agent = AssistantAgent( name="bannerbear_assistant", description="An AI assistant that helps with Bannerbear 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 Bannerbear 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 Bannerbear 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 Bannerbear session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["bannerbear"] ) 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 Bannerbear assistant agent with MCP tools agent = AssistantAgent( name="bannerbear_assistant", description="An AI assistant that helps with Bannerbear 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 Bannerbear 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 Bannerbear 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 Bannerbear, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Bannerbear MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/bannerbear/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/bannerbear/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/bannerbear/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/bannerbear/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/bannerbear/framework/codex) - [OpenClaw](https://composio.dev/toolkits/bannerbear/framework/openclaw) - [Hermes](https://composio.dev/toolkits/bannerbear/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/bannerbear/framework/cli) - [Google ADK](https://composio.dev/toolkits/bannerbear/framework/google-adk) - [LangChain](https://composio.dev/toolkits/bannerbear/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/bannerbear/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/bannerbear/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/bannerbear/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/bannerbear/framework/crew-ai) ## Related Toolkits - [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. - [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. - [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. - [Canva](https://composio.dev/toolkits/canva) - Canva is a drag-and-drop design suite for creating professional graphics, presentations, and marketing materials. It makes it easy for anyone to design with beautiful templates and a vast library of elements. - [Claid ai](https://composio.dev/toolkits/claid_ai) - Claid.ai delivers AI-driven image editing APIs for tasks like background removal, upscaling, and color correction. It helps automate and enhance image workflows with powerful, developer-friendly tools. - [Cloudinary](https://composio.dev/toolkits/cloudinary) - Cloudinary is a cloud-based platform for managing, uploading, and transforming images and videos. It streamlines media workflows and delivers optimized assets globally. - [Cults](https://composio.dev/toolkits/cults) - Cults is a digital marketplace for 3D printing models, connecting designers and makers. It lets creators share, sell, and discover a huge variety of printable designs easily. - [DeepImage](https://composio.dev/toolkits/deepimage) - DeepImage is an AI-powered image enhancer and upscaler. Get higher-quality images with just a few clicks. - [Dreamstudio](https://composio.dev/toolkits/dreamstudio) - DreamStudio is Stability AI’s platform for generating and editing images with AI. It lets you easily turn ideas into stunning visuals, fast. - [Dynapictures](https://composio.dev/toolkits/dynapictures) - Dynapictures is a cloud-based platform for generating personalized images at scale. Instantly create hundreds of custom visuals using your data sources, like Google Sheets. - [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools. - [Gamma](https://composio.dev/toolkits/gamma) - Gamma is an AI-powered platform for making beautiful, interactive presentations and documents. It lets anyone create and share engaging decks with minimal effort. - [Html to image](https://composio.dev/toolkits/html_to_image) - Html to image converts HTML and CSS into images or captures web page screenshots. Instantly generate visuals from code or web content—no manual screenshots needed. - [Imagior](https://composio.dev/toolkits/imagior) - Imagior is an AI-powered image generation platform that lets you create and customize images using dynamic templates and APIs. Perfect for businesses and creators needing fast, scalable visuals without design hassle. - [Imejis io](https://composio.dev/toolkits/imejis_io) - Imejis io is an API-based image generation platform with powerful customization and template support. It lets you create and modify images in seconds, no manual design work required. - [Imgix](https://composio.dev/toolkits/imgix) - Imgix is a real-time image processing and delivery service for developers. It helps you optimize, transform, and deliver images efficiently at any scale. - [Kraken io](https://composio.dev/toolkits/kraken_io) - Kraken.io is an image optimization and compression platform. It helps you shrink image file sizes while keeping visual quality intact. - [Logo dev](https://composio.dev/toolkits/logo_dev) - Logo.dev is an API and database for high-resolution company logos and brand metadata. Instantly fetch official logos from any domain without scraping or manual searching. - [Miro](https://composio.dev/toolkits/miro) - Miro is a collaborative online whiteboard platform for teams to brainstorm, design, and manage projects visually. It streamlines teamwork by enabling real-time idea sharing, diagramming, and workflow planning in a single space. - [Mural](https://composio.dev/toolkits/mural) - Mural is a digital whiteboard platform for distributed visual collaboration. It helps teams brainstorm, map ideas, and diagram together in real time. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Bannerbear MCP? With a standalone Bannerbear MCP server, the agents and LLMs can only access a fixed set of Bannerbear tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Bannerbear 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 Bannerbear tools. ### Can I manage the permissions and scopes for Bannerbear while using Tool Router? Yes, absolutely. You can configure which Bannerbear 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 Bannerbear data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)