# How to integrate Docsautomator MCP with Pydantic AI ```json { "title": "How to integrate Docsautomator MCP with Pydantic AI", "toolkit": "Docsautomator", "toolkit_slug": "docsautomator", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/docsautomator/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/docsautomator/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:30:49.122Z" } ``` ## Introduction This guide walks you through connecting Docsautomator to Pydantic AI using the Composio tool router. By the end, you'll have a working Docsautomator agent that can generate an invoice from the 'invoice' template, create onboarding document for new employee, list all docsautomator templates available to me through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Docsautomator account through Composio's Docsautomator MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Docsautomator with - [OpenAI Agents SDK](https://composio.dev/toolkits/docsautomator/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/docsautomator/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/docsautomator/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/docsautomator/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/docsautomator/framework/codex) - [OpenClaw](https://composio.dev/toolkits/docsautomator/framework/openclaw) - [Hermes](https://composio.dev/toolkits/docsautomator/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/docsautomator/framework/cli) - [Google ADK](https://composio.dev/toolkits/docsautomator/framework/google-adk) - [LangChain](https://composio.dev/toolkits/docsautomator/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/docsautomator/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/docsautomator/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/docsautomator/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/docsautomator/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 Docsautomator - 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 Docsautomator 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 Docsautomator MCP server, and what's possible with it? The Docsautomator MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Docsautomator account. It provides structured and secure access so your agent can perform Docsautomator operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `DOCSAUTOMATOR_CREATE_AUTOMATION` | Create Automation | Tool to create a new DocsAutomator automation with specified data source and optional Google Doc template. Use when you need to set up a new document automation workflow. PDF templates must be uploaded through the DocsAutomator app interface. | | `DOCSAUTOMATOR_DELETE_AUTOMATION` | Delete Automation | Tool to permanently delete an automation and all associated data. Use when you need to remove an automation that is no longer needed. This action cannot be undone. | | `DOCSAUTOMATOR_DUPLICATE_AUTOMATION` | Duplicate Automation | Tool to create a copy of an existing automation with ' COPY' appended to the title. Use when you need to duplicate an existing automation without recreating it from scratch. | | `DOCSAUTOMATOR_GET_AUTOMATION` | Get Automation Details | Tool to retrieve details of a specific automation by its ID. Use when you need to fetch configuration, data source settings, and template information for an automation. | | `DOCSAUTOMATOR_GET_QUEUE_STATISTICS` | Get Queue Statistics | Tool to retrieve current document generation queue statistics for your workspace. Use when monitoring queue health or checking processing capacity. | | `DOCSAUTOMATOR_LIST_AUTOMATIONS` | List Automations | Tool to retrieve all automations in your workspace with their basic details. Use when you need to view, list, or enumerate existing automations. | | `DOCSAUTOMATOR_LIST_SIGNING_SESSIONS` | List Signing Sessions | Tool to retrieve signing sessions with optional filtering by status or signer email. Returns paginated results. Use when you need to list or search for signing sessions in DocsAutomator. | | `DOCSAUTOMATOR_SEND_TEST_EMAIL` | Send Test Email | Tool to send a test email with a sample PDF attachment to verify email configuration. Use when you need to test email delivery for a specific automation. Rate limited to 25 emails per hour per automation. | | `DOCSAUTOMATOR_UPDATE_AUTOMATION` | Update Automation | Tool to update an existing automation's settings in DocsAutomator. Only the fields included in the request are updated. Use when you need to modify automation properties like title, template link, locale settings, or activation status. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Docsautomator MCP server is an implementation of the Model Context Protocol that connects your AI agent to Docsautomator. It provides structured and secure access so your agent can perform Docsautomator 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 Docsautomator - 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 Docsautomator - MCPServerStreamableHTTP connects to the Docsautomator 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 Docsautomator 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 Docsautomator composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["docsautomator"], ) 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 Docsautomator endpoint - The agent uses GPT-5 to interpret user commands and perform Docsautomator operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent docsautomator_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[docsautomator_mcp], instructions=( "You are a Docsautomator assistant. Use Docsautomator 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 - Docsautomator 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 Docsautomator.\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 Docsautomator composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["docsautomator"], ) 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 docsautomator_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[docsautomator_mcp], instructions=( "You are a Docsautomator assistant. Use Docsautomator 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 Docsautomator.\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 Docsautomator through Composio's Tool Router. With this setup, your agent can perform real Docsautomator 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 + Docsautomator 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 Docsautomator MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/docsautomator/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/docsautomator/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/docsautomator/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/docsautomator/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/docsautomator/framework/codex) - [OpenClaw](https://composio.dev/toolkits/docsautomator/framework/openclaw) - [Hermes](https://composio.dev/toolkits/docsautomator/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/docsautomator/framework/cli) - [Google ADK](https://composio.dev/toolkits/docsautomator/framework/google-adk) - [LangChain](https://composio.dev/toolkits/docsautomator/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/docsautomator/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/docsautomator/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/docsautomator/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/docsautomator/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 Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [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. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. - [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity. - [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently. - [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place. - [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [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. - [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place. - [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. - [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Docsautomator MCP? With a standalone Docsautomator MCP server, the agents and LLMs can only access a fixed set of Docsautomator tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Docsautomator 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 Docsautomator tools. ### Can I manage the permissions and scopes for Docsautomator while using Tool Router? Yes, absolutely. You can configure which Docsautomator 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 Docsautomator data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)