# How to integrate Intelliprint MCP with Pydantic AI ```json { "title": "How to integrate Intelliprint MCP with Pydantic AI", "toolkit": "Intelliprint", "toolkit_slug": "intelliprint", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/intelliprint/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/intelliprint/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:16:04.022Z" } ``` ## Introduction This guide walks you through connecting Intelliprint to Pydantic AI using the Composio tool router. By the end, you'll have a working Intelliprint agent that can create and mail a letter using template, list all print jobs from last week, cancel a pending print job by id through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Intelliprint account through Composio's Intelliprint MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Intelliprint with - [OpenAI Agents SDK](https://composio.dev/toolkits/intelliprint/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/intelliprint/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/intelliprint/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/intelliprint/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/intelliprint/framework/codex) - [OpenClaw](https://composio.dev/toolkits/intelliprint/framework/openclaw) - [Hermes](https://composio.dev/toolkits/intelliprint/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/intelliprint/framework/cli) - [Google ADK](https://composio.dev/toolkits/intelliprint/framework/google-adk) - [LangChain](https://composio.dev/toolkits/intelliprint/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/intelliprint/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/intelliprint/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/intelliprint/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/intelliprint/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 Intelliprint - 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 Intelliprint 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 Intelliprint MCP server, and what's possible with it? The Intelliprint MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Intelliprint account. It provides structured and secure access to your hybrid mail and print workflow, so your agent can automate print jobs, manage backgrounds and templates, merge documents, and track mailing activities on your behalf. - Automated print job creation and management: Instantly submit new print jobs, confirm submissions, or cancel and delete print jobs with full tracking and status updates. - Background and template organization: Create, update, retrieve, and list print backgrounds and templates to keep your mailouts branded and personalized. - File merging for streamlined print workflows: Merge multiple files into a single document before sending them to print, optimizing document preparation. - Print job tracking and detailed retrieval: Retrieve comprehensive details of any print job by its ID, allowing for real-time status checks and reporting. - Bulk management and filtering: List all backgrounds, templates, or print jobs with advanced filtering and pagination to efficiently handle high-volume mailing operations. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `INTELLIPRINT_CANCEL_DELETE_PRINT_JOB` | Cancel or Delete Print Job | Cancel or delete an existing print job by its ID. Unconfirmed jobs are deleted immediately; confirmed jobs (not yet shipped) are cancelled with a refund. Important: Testmode print jobs cannot be cancelled - only live print jobs support cancellation. | | `INTELLIPRINT_CREATE_BACKGROUND` | Create background | Create a new Background by uploading a PDF file. Backgrounds are used as base layers for print jobs (e.g., letterheads, invoice templates). Use this tool when you need to upload a new background PDF that can be applied to print jobs. | | `INTELLIPRINT_CREATE_MAILING_LIST` | Create Mailing List | Create a mailing list to store thousands of recipients and send mail items to all of them at once. Use this tool when you need to create a new mailing list for bulk mailings. Recipients can be added in bulk during creation or added later. Mailing lists support dynamic fields (variables) for personalizing templates per recipient. | | `INTELLIPRINT_CREATE_MAILING_LIST_RECIPIENT` | Create Mailing List Recipient | Tool to create a new recipient within a mailing list. Use when you need to add an individual contact who will receive mail campaigns. Recipients must have at minimum an address line; name, postcode, and country are optional. | | `INTELLIPRINT_CREATE_PRINT_JOB` | Create Print Job | Create a new print job in Intelliprint by uploading a document. Use this tool to submit documents for postal mailing. Jobs can be created as drafts (confirmed=False) for review/editing, or confirmed immediately (confirmed=True) for printing and dispatch. Test mode (testmode=True) allows testing without charges or actual mailing. | | `INTELLIPRINT_DELETE_BACKGROUND` | Delete Background | Tool to delete a background by ID. Use when you need to remove a background that is no longer needed. Fails if any print job has used this background in the last 90 days. | | `INTELLIPRINT_DELETE_MAILING_LIST` | Delete Mailing List | Tool to delete a mailing list along with all the recipients in the mailing list. Use when you need to remove a mailing list permanently. | | `INTELLIPRINT_DELETE_MAILING_LIST_RECIPIENT` | Delete Mailing List Recipient | Delete a recipient by ID from a specified mailing list. Use when you need to remove a recipient from a mailing list. | | `INTELLIPRINT_GET_MAILING_LIST` | Get Mailing List | Tool to retrieve a single mailing list by its ID. Use when you need details about a specific mailing list including recipients count, address validation status, and dynamic variables. | | `INTELLIPRINT_GET_MAILING_LIST_RECIPIENT` | Get Mailing List Recipient | Tool to retrieve a single recipient by ID within a specified mailing list. Use when you need details about a specific mailing list recipient. | | `INTELLIPRINT_LIST_BACKGROUNDS` | List Backgrounds | Tool to list backgrounds with optional filtering and pagination. Use after uploading or managing backgrounds to retrieve current entries. Example: 'List backgrounds for team=team_1234 with limit=50 and skip=10'. | | `INTELLIPRINT_LIST_MAILING_LIST_RECIPIENTS` | List Mailing List Recipients | Tool to list all recipients in a mailing list with pagination and sorting options. Use when you need to retrieve recipients from a specific mailing list. | | `INTELLIPRINT_LIST_MAILING_LISTS` | List Mailing Lists | Tool to list all available mailing lists with pagination and sorting options. Use when you need to retrieve mailing lists for print jobs or to view existing lists. | | `INTELLIPRINT_LIST_PRINT_JOBS` | List Print Jobs | Tool to list print jobs with optional filters and pagination. Use after confirming API key. | | `INTELLIPRINT_LIST_TEMPLATES` | List Templates | Tool to list all available templates. Use after authenticating API key to browse available templates. | | `INTELLIPRINT_MERGE_FILES` | Merge Files | Merges multiple PDF, RTF, or Word documents into a single PDF file. Use this tool when you need to: - Combine multiple PDF files into one - Merge Word documents (.doc, .docx) into a single PDF - Combine RTF files with PDFs or Word documents - Create a unified document from separate files The merged output is always a PDF file, regardless of input file types. Files are merged in the order they are provided in the request. A download link is returned that is valid for approximately 1 hour. | | `INTELLIPRINT_RETRIEVE_BACKGROUND` | Retrieve Background | Tool to retrieve a specific Background by ID. Use when you need background details before further processing. | | `INTELLIPRINT_RETRIEVE_PRINT_JOB` | Retrieve Print Job | Tool to retrieve details of a Print Job by its ID. Use when you have a valid print_id and need full job specifications. | | `INTELLIPRINT_UPDATE_BACKGROUND` | Update Background | Tool to update an existing Background's name or team. Use when you need to change a background after creation. Example: 'Update background bg_123abc to new name'. | | `INTELLIPRINT_UPDATE_MAILING_LIST` | Update Mailing List | Tool to update a mailing list. Use when you need to update the name, add or replace recipients in bulk, or configure address validation. Can add recipients to existing list or replace all recipients by setting delete_old_recipients to True. | | `INTELLIPRINT_UPDATE_MAILING_LIST_RECIPIENT` | Update Mailing List Recipient | Tool to update an existing recipient in a mailing list by ID. Use when you need to modify recipient address details or custom variables for personalized mailings. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Intelliprint MCP server is an implementation of the Model Context Protocol that connects your AI agent to Intelliprint. It provides structured and secure access so your agent can perform Intelliprint 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 Intelliprint - 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 Intelliprint - MCPServerStreamableHTTP connects to the Intelliprint 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 Intelliprint 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 Intelliprint composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["intelliprint"], ) 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 Intelliprint endpoint - The agent uses GPT-5 to interpret user commands and perform Intelliprint operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent intelliprint_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[intelliprint_mcp], instructions=( "You are a Intelliprint assistant. Use Intelliprint 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 - Intelliprint 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 Intelliprint.\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 Intelliprint composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["intelliprint"], ) 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 intelliprint_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[intelliprint_mcp], instructions=( "You are a Intelliprint assistant. Use Intelliprint 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 Intelliprint.\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 Intelliprint through Composio's Tool Router. With this setup, your agent can perform real Intelliprint 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 + Intelliprint 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 Intelliprint MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/intelliprint/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/intelliprint/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/intelliprint/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/intelliprint/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/intelliprint/framework/codex) - [OpenClaw](https://composio.dev/toolkits/intelliprint/framework/openclaw) - [Hermes](https://composio.dev/toolkits/intelliprint/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/intelliprint/framework/cli) - [Google ADK](https://composio.dev/toolkits/intelliprint/framework/google-adk) - [LangChain](https://composio.dev/toolkits/intelliprint/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/intelliprint/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/intelliprint/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/intelliprint/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/intelliprint/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. - [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. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Intelliprint MCP? With a standalone Intelliprint MCP server, the agents and LLMs can only access a fixed set of Intelliprint tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Intelliprint 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 Intelliprint tools. ### Can I manage the permissions and scopes for Intelliprint while using Tool Router? Yes, absolutely. You can configure which Intelliprint 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 Intelliprint 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)