# How to integrate Cloudconvert MCP with Pydantic AI ```json { "title": "How to integrate Cloudconvert MCP with Pydantic AI", "toolkit": "Cloudconvert", "toolkit_slug": "cloudconvert", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/cloudconvert/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/cloudconvert/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:06:38.656Z" } ``` ## Introduction This guide walks you through connecting Cloudconvert to Pydantic AI using the Composio tool router. By the end, you'll have a working Cloudconvert agent that can convert a pdf to word document format, export a converted file directly to s3, list all supported video conversion formats through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Cloudconvert account through Composio's Cloudconvert MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Cloudconvert with - [OpenAI Agents SDK](https://composio.dev/toolkits/cloudconvert/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/cloudconvert/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/cloudconvert/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/cloudconvert/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/cloudconvert/framework/codex) - [OpenClaw](https://composio.dev/toolkits/cloudconvert/framework/openclaw) - [Hermes](https://composio.dev/toolkits/cloudconvert/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/cloudconvert/framework/cli) - [Google ADK](https://composio.dev/toolkits/cloudconvert/framework/google-adk) - [LangChain](https://composio.dev/toolkits/cloudconvert/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/cloudconvert/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/cloudconvert/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/cloudconvert/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/cloudconvert/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 Cloudconvert - 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 Cloudconvert 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 Cloudconvert MCP server, and what's possible with it? The Cloudconvert MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your CloudConvert account. It provides structured and secure access to your file conversion workflows, so your agent can perform actions like converting files, exporting results to cloud storage, managing webhooks, and exploring supported formats on your behalf. - Seamless file conversion: Ask your agent to convert documents, images, audio, video, spreadsheets, or presentations between hundreds of supported formats automatically. - Automated export to cloud storage: Direct your agent to export converted files directly into your Google Cloud Storage or Amazon S3 buckets, streamlining storage and distribution. - Format discovery and optimization: Have the agent list all supported conversion formats, engines, and options, so you can choose the best settings for your needs. - Webhook management: Let your agent create, list, or delete webhooks to receive real-time notifications about conversion events and automate downstream processes. - Task tracking and user info: Retrieve detailed task histories, filter by status or date, and confirm the authenticated user’s account details for secure operations. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `CLOUDCONVERT_CREATE_EXPORT_GOOGLE_CLOUD_STORAGE_TASK` | Create Export Google Cloud Storage Task | Tool to create a task to export files to a Google Cloud Storage bucket. Use after conversion when you need to store results directly into GCS. Ensure service account credentials have the proper permissions. | | `CLOUDCONVERT_CREATE_EXPORT_S3_TASK` | Create Export S3 Task | Tool to create a task to export files to an Amazon S3 bucket. Use after conversion when you need to store results directly into S3. Ensure AWS credentials have s3:PutObject (and PutObjectAcl if using non-default ACL) permissions. | | `CLOUDCONVERT_CREATE_WEBHOOK` | Create Webhook | Creates a new webhook to receive CloudConvert event notifications. Use this when you need to be notified about job status changes (created, finished, or failed) via HTTP POST requests to your server. | | `CLOUDCONVERT_DELETE_WEBHOOK` | Delete Webhook | Permanently delete a webhook by its ID. Use this when you no longer need to receive event notifications for a specific webhook. The webhook ID can be obtained from the create_webhook or list_webhooks actions. | | `CLOUDCONVERT_LIST_OPERATIONS` | List Operations | Tool to list all possible CloudConvert operations with their available options and engine details. Use when you need to discover what operations are available, check operation requirements, or filter by input/output formats before creating tasks. | | `CLOUDCONVERT_LIST_SUPPORTED_FORMATS` | List Supported Formats | Tool to list all supported conversion formats, engines, and options. Use when you need to discover available conversions before creating tasks. | | `CLOUDCONVERT_LIST_TASKS` | List Tasks | List all CloudConvert tasks with their status, payload and results. Use this tool to: - Monitor conversion task progress and status - Find tasks by status (waiting, processing, finished, error) - Filter tasks by job ID to see all tasks in a specific job - Retrieve task results and output file URLs - Debug failed conversions by checking error codes and messages Tasks are automatically deleted 24 hours after completion. | | `CLOUDCONVERT_LIST_WEBHOOKS` | List Webhooks | Tool to list all webhooks. Use when you need to retrieve existing webhooks before managing or inspecting them. | | `CLOUDCONVERT_SHOW_USER` | Show User | Retrieves the current authenticated user's CloudConvert account information. Returns the user's ID, username, email, remaining conversion credits, and account creation date. Requires the 'user.read' scope. Useful for verifying authentication and checking available credits. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Cloudconvert MCP server is an implementation of the Model Context Protocol that connects your AI agent to Cloudconvert. It provides structured and secure access so your agent can perform Cloudconvert 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 Cloudconvert - 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 Cloudconvert - MCPServerStreamableHTTP connects to the Cloudconvert 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 Cloudconvert 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 Cloudconvert composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["cloudconvert"], ) 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 Cloudconvert endpoint - The agent uses GPT-5 to interpret user commands and perform Cloudconvert operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent cloudconvert_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[cloudconvert_mcp], instructions=( "You are a Cloudconvert assistant. Use Cloudconvert 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 - Cloudconvert 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 Cloudconvert.\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 Cloudconvert composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["cloudconvert"], ) 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 cloudconvert_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[cloudconvert_mcp], instructions=( "You are a Cloudconvert assistant. Use Cloudconvert 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 Cloudconvert.\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 Cloudconvert through Composio's Tool Router. With this setup, your agent can perform real Cloudconvert 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 + Cloudconvert 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 Cloudconvert MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/cloudconvert/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/cloudconvert/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/cloudconvert/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/cloudconvert/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/cloudconvert/framework/codex) - [OpenClaw](https://composio.dev/toolkits/cloudconvert/framework/openclaw) - [Hermes](https://composio.dev/toolkits/cloudconvert/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/cloudconvert/framework/cli) - [Google ADK](https://composio.dev/toolkits/cloudconvert/framework/google-adk) - [LangChain](https://composio.dev/toolkits/cloudconvert/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/cloudconvert/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/cloudconvert/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/cloudconvert/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/cloudconvert/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. - [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. - [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 Cloudconvert MCP? With a standalone Cloudconvert MCP server, the agents and LLMs can only access a fixed set of Cloudconvert tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Cloudconvert 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 Cloudconvert tools. ### Can I manage the permissions and scopes for Cloudconvert while using Tool Router? Yes, absolutely. You can configure which Cloudconvert 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 Cloudconvert data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)