# How to integrate Aryn MCP with Pydantic AI ```json { "title": "How to integrate Aryn MCP with Pydantic AI", "toolkit": "Aryn", "toolkit_slug": "aryn", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/aryn/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/aryn/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:01:54.822Z" } ``` ## Introduction This guide walks you through connecting Aryn to Pydantic AI 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 Pydantic AI 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) - [CrewAI](https://composio.dev/toolkits/aryn/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Aryn - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Aryn workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## 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_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 by its ID. Use when you need to check DocSet details like name, creation time, properties, or prompts. | | `ARYN_GET_DOCUMENT` | Get Document by ID | Retrieve a document by ID from Aryn DocParse storage. Returns the document's parsed elements (text, tables, sections with embeddings), custom properties, and optionally the original binary content. Use this after obtaining a docset_id and doc_id from other Aryn actions (e.g., list_docs or add_doc). | | `ARYN_GET_DOCUMENT_BINARY` | Download Document Binary | Download the original binary content (e.g., PDF, image) of a document from an Aryn DocSet. This action retrieves the raw binary file that was originally uploaded to the DocSet. Use this when you need to access the original document file rather than the parsed elements or extracted text. | | `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. | | `ARYN_PARTITION_DOCUMENT` | Partition Document | Partition a document using Aryn DocParse to extract and structure its content elements including text, tables, and images. Supports file upload or URL input with extensive processing options for chunking, OCR, table extraction, image extraction, and multiple output formats. Use when you need to extract structured content from PDFs or other document formats. | | `ARYN_SUBMIT_ASYNC_ADD_DOC` | Submit Document for Async Add Doc | Tool to submit a document for asynchronous addition to a DocSet. Returns a task ID to track the operation. Use when you need to add documents to an existing DocSet and want to track the processing status. | ## 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 with an active API key - Basic familiarity with Python and async programming ### 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 the required libraries. What's happening: - composio connects your agent to external SaaS tools like Aryn - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Aryn - MCPServerStreamableHTTP connects to the Aryn MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Aryn tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Aryn composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["aryn"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Aryn endpoint - The agent uses GPT-5 to interpret user commands and perform Aryn operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent aryn_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[aryn_mcp], instructions=( "You are a Aryn assistant. Use Aryn tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Aryn API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Aryn.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Aryn composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["aryn"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent aryn_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[aryn_mcp], instructions=( "You are a Aryn assistant. Use Aryn tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Aryn.\n") 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", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Aryn through Composio's Tool Router. With this setup, your agent can perform real Aryn actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Aryn for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## 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) - [CrewAI](https://composio.dev/toolkits/aryn/framework/crew-ai) ## 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 Pydantic AI? Yes, you can. Pydantic AI 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)