# How to integrate Cloudlayer MCP with CrewAI ```json { "title": "How to integrate Cloudlayer MCP with CrewAI", "toolkit": "Cloudlayer", "toolkit_slug": "cloudlayer", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/cloudlayer/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/cloudlayer/framework/crew-ai.md", "updated_at": "2026-05-12T10:06:50.160Z" } ``` ## Introduction This guide walks you through connecting Cloudlayer to CrewAI using the Composio tool router. By the end, you'll have a working Cloudlayer agent that can generate pdf from a contract html template, convert a marketing webpage to a png image, list your most recent generated assets through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Cloudlayer account through Composio's Cloudlayer MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Cloudlayer with - [OpenAI Agents SDK](https://composio.dev/toolkits/cloudlayer/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/cloudlayer/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/cloudlayer/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/cloudlayer/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/cloudlayer/framework/codex) - [OpenClaw](https://composio.dev/toolkits/cloudlayer/framework/openclaw) - [Hermes](https://composio.dev/toolkits/cloudlayer/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/cloudlayer/framework/cli) - [Google ADK](https://composio.dev/toolkits/cloudlayer/framework/google-adk) - [LangChain](https://composio.dev/toolkits/cloudlayer/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/cloudlayer/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/cloudlayer/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/cloudlayer/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Cloudlayer connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Cloudlayer - Build a conversational loop where your agent can execute Cloudlayer 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 Cloudlayer MCP server, and what's possible with it? The Cloudlayer MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Cloudlayer account. It provides structured and secure access to dynamic document and asset generation, so your agent can perform actions like converting HTML or URLs to PDFs or images, managing assets, and configuring storage on your behalf. - Automated PDF and image generation: Instantly convert HTML content or public URLs into professional PDFs and images for reporting, documentation, or sharing. - Asset management and retrieval: Let your agent fetch metadata or download links for generated assets, or list your most recent document and image creations. - Dynamic storage configuration: Seamlessly add and manage external storage buckets or containers for organizing generated files and assets. - Real-time API health monitoring: Enable your agent to check Cloudlayer API status, ensuring your integrations are always up and running. - Flexible screenshot and rendering tasks: Capture dynamic webpage screenshots as images or PDFs, with full control over conversion parameters, for advanced automation workflows. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CLOUDLAYER_ADD_STORAGE` | Add Storage | Add a user-owned S3-compatible storage configuration for storing generated assets. This action allows Enterprise plan users to configure their own S3-compatible storage (AWS S3, DigitalOcean Spaces, Wasabi, MinIO, etc.) instead of using the built-in cloud storage included with Cloudlayer accounts. Note: User storage is only available on Enterprise plans. Standard plans will receive an 'allowed: false' response indicating the feature requires a plan upgrade. | | `CLOUDLAYER_CONVERT_HTML_TO_IMAGE` | Convert HTML to Image (V2) | Convert HTML content to an image (PNG, JPG, or WebP) using the v2 API endpoint. Renders the provided HTML string using a headless browser and returns job details with the generated image asset. Supports various rendering options including viewport configuration, transparency, auto-scroll, and custom wait conditions. | | `CLOUDLAYER_CONVERT_HTML_TO_PDF_V2` | Convert HTML to PDF (v2) | Tool to convert HTML content to PDF using CloudLayer v2 API. Use when you need to generate a PDF from raw HTML with advanced options like custom paper size, margins, headers/footers, and viewport settings. The HTML is automatically Base64 encoded before sending to the API. | | `CLOUDLAYER_CONVERT_URL_TO_PDF_GET` | Convert URL to PDF (Simple) | Tool to convert a URL to PDF using GET request. Use when you need quick PDF conversion with minimal parameters and immediate result. | | `CLOUDLAYER_DELETE_STORAGE` | Delete Storage Configuration | Tool to delete a specific user storage configuration. Use when you need to remove an external bucket configuration by its ID after confirming the ID is correct. | | `CLOUDLAYER_GET_ACCOUNT_INFO` | Get Account Info | Tool to retrieve Cloudlayer account usage, credits, and document counts. Use when monitoring account limits and subscription status. | | `CLOUDLAYER_GET_ASSET` | Get Asset | Tool to retrieve a specific asset by its ID. Use when you need to fetch metadata or download URL of an existing asset after its generation. | | `CLOUDLAYER_GET_JOB_BY_ID` | Get Job By ID | Retrieve details of a specific Cloudlayer job by its ID. Use this to check the status of an async job, get the asset download URL after completion, or view job parameters. Returns 401 if the job ID doesn't exist or doesn't belong to your account. | | `CLOUDLAYER_GET_STATUS` | Get API Status | Tool to test API reachability. Use when checking if the Cloudlayer API is available. | | `CLOUDLAYER_GET_STORAGE_BY_ID` | Get Storage Configuration by ID | Tool to retrieve a specific storage configuration by its ID. Use when you need to inspect or validate details of a user storage configuration. | | `CLOUDLAYER_LIST_ASSETS` | List Assets | List assets in your CloudLayer account with cursor-based pagination. Returns PDFs and images generated via HTML/URL conversion jobs. Use this to find asset IDs for further operations like downloading or deleting assets. | | `CLOUDLAYER_LIST_JOBS` | List Jobs | List jobs in your CloudLayer account with cursor-based pagination. Use when you need to view your recent jobs and their statuses. | | `CLOUDLAYER_LIST_STORAGE` | List Storage Configurations | Retrieves all user storage configurations (S3-compatible buckets) for the authenticated Cloudlayer account. Use this to view configured external storage destinations where generated documents can be saved. Note: User Storage is an Enterprise plan feature. Non-Enterprise accounts will receive an empty list. | | `CLOUDLAYER_TEMPLATE_TO_PDF` | Template to PDF | Generate a PDF document from an HTML/Nunjucks template with dynamic data. Provide either: - A `templateId` for predefined templates from CloudLayer's template library, OR - A base64-encoded `template` string containing custom HTML/Nunjucks markup. The `data` parameter populates template variables (e.g., {{name}}, {{items}}) with your JSON data. By default, jobs run asynchronously and return a job ID to poll for completion via get_job_by_id. | | `CLOUDLAYER_URL_TO_IMAGE_POST` | Convert URL to Image | Converts a webpage URL to an image (PNG, JPG, or WebP). Supports custom viewport settings, wait conditions, transparency, auto-scroll, and thumbnail preview generation. The API is asynchronous - use the returned job ID to poll for results. | | `CLOUDLAYER_URL_TO_PDF_POST` | Convert URL to PDF | Tool to convert a URL to PDF with full parameter support. Use when you need advanced control over paper size, margins, headers/footers, or webhook callbacks. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Cloudlayer MCP server is an implementation of the Model Context Protocol that connects your AI agent to Cloudlayer. It provides structured and secure access so your agent can perform Cloudlayer 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 Cloudlayer 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 Cloudlayer 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 Cloudlayer 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 Cloudlayer **What's happening:** - You create a Cloudlayer only session through Composio - Composio returns an MCP HTTP URL that exposes Cloudlayer tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["cloudlayer"]) 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=["cloudlayer"], ) 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 Cloudlayer through Composio's Tool Router. The agent can perform Cloudlayer 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 Cloudlayer MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/cloudlayer/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/cloudlayer/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/cloudlayer/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/cloudlayer/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/cloudlayer/framework/codex) - [OpenClaw](https://composio.dev/toolkits/cloudlayer/framework/openclaw) - [Hermes](https://composio.dev/toolkits/cloudlayer/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/cloudlayer/framework/cli) - [Google ADK](https://composio.dev/toolkits/cloudlayer/framework/google-adk) - [LangChain](https://composio.dev/toolkits/cloudlayer/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/cloudlayer/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/cloudlayer/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/cloudlayer/framework/llama-index) ## Related Toolkits - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze. - [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization. - [Affinda](https://composio.dev/toolkits/affinda) - Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data. - [Agility cms](https://composio.dev/toolkits/agility_cms) - Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease. - [Algodocs](https://composio.dev/toolkits/algodocs) - Algodocs is an AI-powered platform that automates data extraction from business documents. It delivers fast, secure, and accurate processing without templates or manual training. - [Api2pdf](https://composio.dev/toolkits/api2pdf) - Api2Pdf is a REST API for generating PDFs from HTML, URLs, and documents using powerful engines like wkhtmltopdf and Headless Chrome. It streamlines document conversion and automation for developers and businesses. - [Aryn](https://composio.dev/toolkits/aryn) - Aryn is an AI-powered platform for parsing, extracting, and analyzing data from unstructured documents. Use it to automate document processing and unlock actionable insights from your files. - [Boldsign](https://composio.dev/toolkits/boldsign) - Boldsign is a digital eSignature platform for sending, signing, and tracking documents online. Organizations use it to automate agreements and manage legally binding workflows efficiently. - [Boloforms](https://composio.dev/toolkits/boloforms) - BoloForms is an eSignature platform built for small businesses, offering unlimited signatures, templates, and forms. It simplifies digital document signing and team collaboration at a predictable, fixed price. - [Box](https://composio.dev/toolkits/box) - Box is a cloud content management and file sharing platform for businesses. It helps teams securely store, organize, and collaborate on files from anywhere. - [Carbone](https://composio.dev/toolkits/carbone) - Carbone is a blazing-fast report generator that turns JSON data into PDFs, Word docs, spreadsheets, and more using flexible templates. It lets you automate document creation at scale with minimal code. - [Castingwords](https://composio.dev/toolkits/castingwords) - CastingWords is a transcription service specializing in human-powered, accurate transcripts via a simple API. Get seamless audio-to-text conversion for interviews, meetings, podcasts, and more. - [Cloudconvert](https://composio.dev/toolkits/cloudconvert) - CloudConvert is a powerful file conversion service supporting over 200 file formats. It streamlines converting, compressing, and managing documents, media, and more, all in one place. - [Cloudpress](https://composio.dev/toolkits/cloudpress) - Cloudpress is a content export tool for Google Docs and Notion. It automates publishing to your favorite Content Management Systems. - [Contentful graphql](https://composio.dev/toolkits/contentful_graphql) - Contentful graphql is a content delivery API that lets you access Contentful data using GraphQL queries. It gives you efficient, flexible ways to fetch and manage structured content for any digital project. - [Conversion tools](https://composio.dev/toolkits/conversion_tools) - Conversion Tools is an online service for converting documents between formats such as PDF, Word, Excel, XML, and CSV. It lets you automate complex document workflows with just a few clicks. - [Convertapi](https://composio.dev/toolkits/convertapi) - ConvertAPI is a robust file conversion service for documents, images, and spreadsheets. It streamlines programmatic format changes and lets developers automate complex workflows with a single API. - [Craftmypdf](https://composio.dev/toolkits/craftmypdf) - CraftMyPDF is a web-based service for designing and generating PDFs with templates and live data. It streamlines document creation by automating personalized PDFs at scale. - [Docmosis](https://composio.dev/toolkits/docmosis) - Docmosis generates PDF and Word documents from user-defined templates. It's perfect for merging data fields to quickly produce reports, invoices, and business letters. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Cloudlayer MCP? With a standalone Cloudlayer MCP server, the agents and LLMs can only access a fixed set of Cloudlayer tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Cloudlayer 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 Cloudlayer tools. ### Can I manage the permissions and scopes for Cloudlayer while using Tool Router? Yes, absolutely. You can configure which Cloudlayer 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 Cloudlayer data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)