# How to integrate Aryn MCP with CrewAI ```json { "title": "How to integrate Aryn MCP with CrewAI", "toolkit": "Aryn", "toolkit_slug": "aryn", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/aryn/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/aryn/framework/crew-ai.md", "updated_at": "2026-05-06T08:01:23.434Z" } ``` ## Introduction This guide walks you through connecting Aryn to CrewAI using the Composio tool router. By the end, you'll have a working Aryn agent that can extract key data fields from uploaded contracts, list all pending document processing tasks, retrieve metadata for a specific docset through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Aryn account through Composio's Aryn MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Aryn with - [OpenAI Agents SDK](https://composio.dev/toolkits/aryn/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/aryn/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/aryn/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/aryn/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/aryn/framework/codex) - [OpenClaw](https://composio.dev/toolkits/aryn/framework/openclaw) - [Hermes](https://composio.dev/toolkits/aryn/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/aryn/framework/cli) - [Google ADK](https://composio.dev/toolkits/aryn/framework/google-adk) - [LangChain](https://composio.dev/toolkits/aryn/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/aryn/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/aryn/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/aryn/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Aryn connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Aryn - Build a conversational loop where your agent can execute Aryn 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 Aryn MCP server, and what's possible with it? The Aryn MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Aryn account. It provides structured and secure access to your document sets and analytics tools, so your agent can perform actions like document parsing, data extraction, metadata management, and workflow monitoring on your behalf. - Automated document set management: Create, organize, and delete entire docsets to keep your unstructured documents sorted and accessible for further processing. - Advanced document retrieval: Retrieve individual documents or their binary content by ID, making it easy for your agent to access and analyze specific files. - Dynamic query planning: Generate logical query plans for complex data extraction or analytics tasks before executing them, giving you more transparency and control over document analysis workflows. - Metadata and usage insights: Fetch detailed metadata and usage statistics for any docset, so you can track document activity and storage at a glance. - Asynchronous task monitoring: List and monitor all outstanding or running async tasks, helping you keep tabs on document processing operations and system status in real time. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `ARYN_CREATE_DOCSET` | Create DocSet | Tool to create a new docset. use when you need to allocate a storage container before adding documents. | | `ARYN_CREATE_DOCSET` | Create DocSet | Tool to create a new docset. use when you need to allocate a storage container before adding documents. | | `ARYN_DELETE_DOCSET` | Delete DocSet | Tool to delete a docset and all its documents. use after confirming the docset id, when you need to permanently remove a docset and its contents. | | `ARYN_GENERATE_PLAN` | Generate plan | Tool to generate a query plan without executing it. use when you need to review the logical plan before running your query (e.g., "generate a plan for revenue breakdown by region"). | | `ARYN_GET_DOC_SET` | Get DocSet Metadata | Tool to retrieve metadata for a specific docset. use when you have the docset id and optionally need usage statistics. | | `ARYN_GET_DOCUMENT` | Get Document by ID | Tool to retrieve a document by id. use after both docset and document ids are available. | | `ARYN_GET_DOCUMENT_BINARY` | Get Document Binary | Tool to retrieve the binary content of a document by docset id and document id. | | `ARYN_LIST_ASYNC_TASKS` | List Async Tasks | Tool to list all outstanding asynchronous tasks for the account. use when you need to check pending or running tasks. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Aryn MCP server is an implementation of the Model Context Protocol that connects your AI agent to Aryn. It provides structured and secure access so your agent can perform Aryn 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 Aryn 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 Aryn 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 Aryn 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 Aryn **What's happening:** - You create a Aryn only session through Composio - Composio returns an MCP HTTP URL that exposes Aryn tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["aryn"]) 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=["aryn"], ) 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 Aryn through Composio's Tool Router. The agent can perform Aryn 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 Aryn MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/aryn/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/aryn/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/aryn/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/aryn/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/aryn/framework/codex) - [OpenClaw](https://composio.dev/toolkits/aryn/framework/openclaw) - [Hermes](https://composio.dev/toolkits/aryn/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/aryn/framework/cli) - [Google ADK](https://composio.dev/toolkits/aryn/framework/google-adk) - [LangChain](https://composio.dev/toolkits/aryn/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/aryn/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/aryn/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/aryn/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. - [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. - [Cloudlayer](https://composio.dev/toolkits/cloudlayer) - Cloudlayer is a document and asset generation service for creating PDFs and images via API or SDKs. It lets you automate high-quality doc creation, saving dev time and reducing manual work. - [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 Aryn MCP? With a standalone Aryn MCP server, the agents and LLMs can only access a fixed set of Aryn tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Aryn 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 Aryn tools. ### Can I manage the permissions and scopes for Aryn while using Tool Router? Yes, absolutely. You can configure which Aryn 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 Aryn 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)