# How to integrate All images ai MCP with CrewAI ```json { "title": "How to integrate All images ai MCP with CrewAI", "toolkit": "All images ai", "toolkit_slug": "all_images_ai", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/all_images_ai/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/all_images_ai/framework/crew-ai.md", "updated_at": "2026-10-04T17:17:41.700Z" } ``` ## Introduction This guide walks you through connecting All images ai to CrewAI using the Composio tool router. By the end, you'll have a working All images ai agent that can list all ai-generated images from this week, check if your all-images.ai api key is valid, add webhook to receive image generation updates through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a All images ai account through Composio's All images ai MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate All images ai with - [Claude Code](https://composio.dev/toolkits/all_images_ai/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/all_images_ai/framework/claude-cowork) - [OpenAI Agents SDK](https://composio.dev/toolkits/all_images_ai/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/all_images_ai/framework/claude-agents-sdk) - [Codex](https://composio.dev/toolkits/all_images_ai/framework/codex) - [Kimi Code](https://composio.dev/toolkits/all_images_ai/framework/kimi) - [OpenClaw](https://composio.dev/toolkits/all_images_ai/framework/openclaw) - [Hermes](https://composio.dev/toolkits/all_images_ai/framework/hermes-agent) - [Atomic Agent](https://composio.dev/toolkits/all_images_ai/framework/atomic-agent) - [CLI](https://composio.dev/toolkits/all_images_ai/framework/cli) - [Google ADK](https://composio.dev/toolkits/all_images_ai/framework/google-adk) - [LangChain](https://composio.dev/toolkits/all_images_ai/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/all_images_ai/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/all_images_ai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/all_images_ai/framework/llama-index) - [Pydantic AI](https://composio.dev/toolkits/all_images_ai/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/all_images_ai/framework/autogen) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your All images ai connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for All images ai - Build a conversational loop where your agent can execute All images ai operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## What is the All images ai MCP server, and what's possible with it? The All Images AI MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your All Images AI account. It provides structured and secure access to your image records, credit balance, account details, and webhook settings, so your agent can review generated images, track downloaded images, check available credits, manage webhooks, and delete image generation batches on your behalf. - Automated image tracking: Have your agent list images created automatically for bulk use. - Downloaded image review: Let the agent retrieve a list of images downloaded from your All Images AI account. - Credit balance checks: Instruct your agent to check how many generation credits remain on your account. - Webhook management: Direct your agent to create a webhook destination and retrieve its current details. - Image generation cleanup: Have your agent delete image generation batches you no longer need. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `ALL_IMAGES_AI_CHECK_API_KEY` | Check API Key | Validates the current API key and retrieves associated account information. Returns the email address and optional name associated with the API key. Use this action to verify your API key is valid before making other API calls. | | `ALL_IMAGES_AI_CREATE_WEBHOOK_ENDPOINT` | Create webhook endpoint | Tool to add a webhook endpoint to an API key. Use when you want to receive print event callbacks at a custom endpoint. | | `ALL_IMAGES_AI_DELETE_IMAGE_GENERATIONS` | Delete Image Generations | Tool to delete one or more image generation batches by their print IDs. Use when you need to remove image generations that are no longer needed. | | `ALL_IMAGES_AI_GET_CREDITS` | Get Credits Balance | Tool to retrieve the current credits balance for your API key. Use this action to check available credits before making API calls that consume credits. | | `ALL_IMAGES_AI_GET_WEBHOOK` | Get Webhook | Tool to retrieve webhook details by its ID. Use when you need to check the configuration of an existing webhook endpoint, including its URL and subscribed events. | | `ALL_IMAGES_AI_LIST_AUTOMATED_IMAGES` | List Automated Images | Tool to list all images generated automatically for bulk use. Use after creating automated-image batches to review and manage them. | | `ALL_IMAGES_AI_LIST_DOWNLOADED_IMAGES` | List Downloaded Images | Tool to list images that have been downloaded from All-Images.ai. Use this action to retrieve and filter downloaded images with optional date range filtering and pagination support. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The All images ai MCP server is an implementation of the Model Context Protocol that connects your AI agent to All images ai. It provides structured and secure access so your agent can perform All images ai operations on your behalf through a secure, permission-based interface. 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 Before starting, make sure you have: - Python 3.9 or higher - A Composio account and API key - A All images ai connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 **What's happening:** - composio connects your agent to All images ai via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived All images ai MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for All images ai **What's happening:** - You create a All images ai only session through Composio - Composio returns an MCP HTTP URL that exposes All images ai tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["all_images_ai"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["all_images_ai"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to All images ai through Composio's Tool Router. The agent can perform All images ai operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## How to build All images ai MCP Agent with another framework - [Claude Code](https://composio.dev/toolkits/all_images_ai/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/all_images_ai/framework/claude-cowork) - [OpenAI Agents SDK](https://composio.dev/toolkits/all_images_ai/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/all_images_ai/framework/claude-agents-sdk) - [Codex](https://composio.dev/toolkits/all_images_ai/framework/codex) - [Kimi Code](https://composio.dev/toolkits/all_images_ai/framework/kimi) - [OpenClaw](https://composio.dev/toolkits/all_images_ai/framework/openclaw) - [Hermes](https://composio.dev/toolkits/all_images_ai/framework/hermes-agent) - [Atomic Agent](https://composio.dev/toolkits/all_images_ai/framework/atomic-agent) - [CLI](https://composio.dev/toolkits/all_images_ai/framework/cli) - [Google ADK](https://composio.dev/toolkits/all_images_ai/framework/google-adk) - [LangChain](https://composio.dev/toolkits/all_images_ai/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/all_images_ai/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/all_images_ai/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/all_images_ai/framework/llama-index) - [Pydantic AI](https://composio.dev/toolkits/all_images_ai/framework/pydantic-ai) - [AutoGen](https://composio.dev/toolkits/all_images_ai/framework/autogen) ## Related Toolkits - [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed. - [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service. - [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows. - [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow. - [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows. - [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application. - [AltTextLab](https://composio.dev/toolkits/alt_text_lab) - AltTextLab is an AI service that generates accessible, SEO-aware alt text for images. It helps teams make image content easier to understand, index, and publish. - [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization. - [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications. - [Apiframe](https://composio.dev/toolkits/apiframe) - Apiframe is an API platform for generating and managing AI images, videos, music, uploads, assets, jobs, and custom LoRAs. It gives developers one clean API for creative AI workflows without juggling multiple model providers. - [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations. - [Arize AX](https://composio.dev/toolkits/arize_ax) - Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications. Use it to debug LLM behavior, compare experiments, and improve production AI quality. - [Artificial Analysis](https://composio.dev/toolkits/artificial_analysis) - Artificial Analysis is an independent benchmarking platform for AI models and API providers. Use it to compare model intelligence, coding, math, pricing, latency, throughput, and arena rankings. - [AssemblyAI](https://composio.dev/toolkits/assemblyai) - AssemblyAI is a speech-to-text and audio intelligence API for uploaded or hosted media. Use it to turn audio and video into accurate transcripts, summaries, and insights. - [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key. - [Avoma](https://composio.dev/toolkits/avoma) - Avoma is an AI meeting assistant for recording, transcribing, analyzing, and managing meetings, calls, notes, scorecards, and conversation intelligence. It helps teams turn conversations into searchable notes, follow-ups, coaching insights, and revenue intelligence. - [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient. - [Black Forest Labs](https://composio.dev/toolkits/bfl) - Black Forest Labs provides hosted FLUX models for generating and editing images and videos. It offers fast, flexible media creation with asynchronous processing and fine-tuning support. - [Bland AI](https://composio.dev/toolkits/bland_ai) - Bland AI is a conversational AI platform for building voice agents, phone calls, messaging, and communication workflows. Use it to automate calling, evaluate conversations, and run voice operations at scale. - [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and All images ai MCP? With a standalone All images ai MCP server, the agents and LLMs can only access a fixed set of All images ai tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from All images ai and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? Yes, you can. CrewAI 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 All images ai tools. ### Can I manage the permissions and scopes for All images ai while using Tool Router? Yes, absolutely. You can configure which All images ai 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 All images ai data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)