# How to integrate Pdfmonkey MCP with Autogen ```json { "title": "How to integrate Pdfmonkey MCP with Autogen", "toolkit": "Pdfmonkey", "toolkit_slug": "pdfmonkey", "framework": "AutoGen", "framework_slug": "autogen", "url": "https://composio.dev/toolkits/pdfmonkey/framework/autogen", "markdown_url": "https://composio.dev/toolkits/pdfmonkey/framework/autogen.md", "updated_at": "2026-05-12T10:21:42.609Z" } ``` ## Introduction This guide walks you through connecting Pdfmonkey to AutoGen using the Composio tool router. By the end, you'll have a working Pdfmonkey agent that can generate pdf invoices from your template, download latest generated contract pdf file, create a new proposal template for sales through natural language commands. This guide will help you understand how to give your AutoGen agent real control over a Pdfmonkey account through Composio's Pdfmonkey MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Pdfmonkey with - [OpenAI Agents SDK](https://composio.dev/toolkits/pdfmonkey/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/pdfmonkey/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/pdfmonkey/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/pdfmonkey/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/pdfmonkey/framework/codex) - [OpenClaw](https://composio.dev/toolkits/pdfmonkey/framework/openclaw) - [Hermes](https://composio.dev/toolkits/pdfmonkey/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/pdfmonkey/framework/cli) - [Google ADK](https://composio.dev/toolkits/pdfmonkey/framework/google-adk) - [LangChain](https://composio.dev/toolkits/pdfmonkey/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/pdfmonkey/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/pdfmonkey/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/pdfmonkey/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/pdfmonkey/framework/crew-ai) ## TL;DR Here's what you'll learn: - Get and set up your OpenAI and Composio API keys - Install the required dependencies for Autogen and Composio - Initialize Composio and create a Tool Router session for Pdfmonkey - Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams - Configure an Autogen AssistantAgent that can call Pdfmonkey tools - Run a live chat loop where you ask the agent to perform Pdfmonkey operations ## What is AutoGen? Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows. Key features include: - Multi-Agent Systems: Build collaborative agent workflows - MCP Workbench: Native support for Model Context Protocol tools - Streaming HTTP: Connect to external services through streamable HTTP - AssistantAgent: Pre-built agent class for tool-using assistants ## What is the Pdfmonkey MCP server, and what's possible with it? The Pdfmonkey MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, or others directly to your Pdfmonkey account. It provides structured and secure access to your PDF automation workflows, so your agent can generate documents from templates, download PDFs, manage templates, and retrieve document details on your behalf. - Automated PDF generation: Instantly create new PDF documents from pre-built templates or custom data payloads, either asynchronously or waiting for immediate results. - Template management and updates: Let your agent create, fetch, or delete document templates to keep your PDF generation process organized and up to date. - Document retrieval and monitoring: Fetch the full details of any generated document, including metadata, logs, and download links for seamless workflow integration. - Secure PDF file download: Easily obtain presigned URLs to access or share generated PDF files, with automatic handling of expiring links. - Account and usage insights: Retrieve authenticated user information, such as quota, plan, and locale, to help monitor and manage your Pdfmonkey usage directly from your agent. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `PDFMONKEY_CREATE_DOCUMENT` | Create Document | Tool to create a Document. Use when you need to instantiate a PDF from a template; set status='pending' to queue immediate generation. Ensure valid `document_template_id` is provided. | | `PDFMONKEY_CREATE_DOCUMENT_SYNC` | Create Document Sync | Tool to create a document and wait for generation to finish. Use when immediate PDF is needed. | | `PDFMONKEY_CREATE_TEMPLATE` | Create Template | Creates a new PDF document template in PDFMonkey. Use this to define reusable templates with HTML/Liquid content and CSS styles for generating PDF documents. Typical workflow: Create template → Preview with draft content → Publish → Generate documents. The template supports Liquid templating syntax (e.g., {{variable_name}}) for dynamic content injection. Only 'identifier' is required; all other fields have sensible defaults. | | `PDFMONKEY_DELETE_DOCUMENT` | Delete Document | Tool to delete a Document by its ID. Use when you need to permanently remove a document after confirming its ID. Returns 204 No Content on success. | | `PDFMONKEY_DELETE_TEMPLATE` | Delete PDFMonkey Document Template | Tool to delete a document template by ID. Use when you need to remove obsolete templates after validation. | | `PDFMONKEY_DOWNLOAD_DOCUMENT_FILE` | Download Document File | Tool to download a generated PDF file via a presigned URL. Use after obtaining a valid download_url from the Document details endpoint. Verify document status is 'success' (not 'draft' or 'pending') via PDFMONKEY_GET_DOCUMENT before downloading to avoid incomplete files. The URL expires after 1 hour; fetch a new URL upon expiry (403 Forbidden). | | `PDFMONKEY_GET_CURRENT_USER` | Get Current User | Tool to retrieve details about the currently authenticated user. Use when you need account info (quota, plan, email, locale) after authentication. | | `PDFMONKEY_GET_DOCUMENT` | Get Document | Tool to fetch a Document by its ID. Returns the full document record including payload, meta, logs, and download URL. Note: download_url is time-limited; if a download attempt fails, call GetDocument again to obtain a fresh URL. Check the status field for a finalized (non-draft) state before passing the record to downstream processing tools. | | `PDFMONKEY_GET_DOCUMENT_CARD` | Get DocumentCard | Tool to fetch a DocumentCard by ID. Use when you have a DocumentCard ID and need its download URLs, status, and metadata. Use after generating or updating a DocumentCard. | | `PDFMONKEY_GET_TEMPLATE` | Get Template by ID | Tool to fetch a Document Template by ID. Use when you need the template's content, styles, settings, and preview URL. | | `PDFMONKEY_LIST_DOCUMENT_CARDS` | List DocumentCards | Tool to list DocumentCards. Use when you need to retrieve multiple DocumentCards with optional pagination and filtering by template, status, workspace, or update time. | | `PDFMONKEY_LIST_PDF_ENGINES` | List PDF Engines | Lists all available PDF rendering engines in PDFMonkey. Returns engine IDs, version names, numeric versions, and deprecation status. Use this to select a PDF engine when creating templates or generating documents. Recommended: Use the latest non-deprecated engine (e.g., v5 or highest version). | | `PDFMONKEY_LIST_TEMPLATES` | List Template Cards | List all document template cards for a workspace. Use this action to: - Retrieve all templates available in a workspace - Filter templates by folder (or get only root folder templates with folders='none') - Paginate through large template lists - Sort templates by identifier, creation date, or last update date Returns template cards with metadata including IDs, names, auth tokens, and timestamps. | | `PDFMONKEY_LIST_WORKSPACES` | List Workspaces | Tool to list workspaces (applications). Use when you need all available workspaces for the authenticated user after login. | | `PDFMONKEY_PREVIEW_TEMPLATE` | Preview Template | Fetches the template preview viewer page from PDFMonkey's preview_url. Returns an HTML viewer page that displays the rendered template draft. Use this after obtaining a template's preview_url via Get Template or List Templates. | | `PDFMONKEY_UPDATE_DOCUMENT` | Update Document | Updates an existing PDFMonkey document's payload, metadata, template, or status. Common use cases: - Modify document data (payload) before generation - Change the template used for the document - Add or update custom metadata - Trigger PDF regeneration by setting status to 'pending' Note: To regenerate a document with updated data, update the payload and set status='pending'. | | `PDFMONKEY_UPDATE_TEMPLATE` | Update Document Template | Tool to update a document template’s properties. Use when you need to modify an existing template’s content, styles, settings, engine, folder, or TTL. | | `PDFMONKEY_VIEW_PUBLIC_SHARE_LINK` | View Public Share Link | Tool to download a publicly shared PDF via its permanent share link. Use when the document's public_share_link is enabled to fetch the PDF file directly. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Pdfmonkey MCP server is an implementation of the Model Context Protocol that connects your AI agents and assistants directly to Pdfmonkey. Instead of manually wiring Pdfmonkey APIs, OAuth, and scopes yourself, you get a structured, tool-based interface that an LLM can call safely. 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 You will need: - A Composio API key - An OpenAI API key (used by Autogen's OpenAIChatCompletionClient) - A Pdfmonkey account you can connect to Composio - Some basic familiarity with Autogen and Python async ### 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 Composio, Autogen extensions, and dotenv. What's happening: - composio connects your agent to Pdfmonkey via MCP - autogen-agentchat provides the AssistantAgent class - autogen-ext-openai provides the OpenAI model client - autogen-ext-tools provides MCP workbench support ```bash pip install composio python-dotenv pip install autogen-agentchat autogen-ext-openai autogen-ext-tools ``` ### 3. Set up environment variables Create a .env file in your project folder. What's happening: - COMPOSIO_API_KEY is required to talk to Composio - OPENAI_API_KEY is used by Autogen's OpenAI client - USER_ID is how Composio identifies which user's Pdfmonkey connections to use ```bash COMPOSIO_API_KEY=your-composio-api-key OPENAI_API_KEY=your-openai-api-key USER_ID=your-user-identifier@example.com ``` ### 4. Import dependencies and create Tool Router session What's happening: - load_dotenv() reads your .env file - Composio(api_key=...) initializes the SDK - create(...) creates a Tool Router session that exposes Pdfmonkey tools - session.mcp.url is the MCP endpoint that Autogen will connect to ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Pdfmonkey session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["pdfmonkey"] ) url = session.mcp.url ``` ### 5. Configure MCP parameters for Autogen Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for. What's happening: - url points to the Tool Router MCP endpoint from Composio - timeout is the HTTP timeout for requests - sse_read_timeout controls how long to wait when streaming responses - terminate_on_close=True cleans up the MCP server process when the workbench is closed ```python # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) ``` ### 6. Create the model client and agent What's happening: - OpenAIChatCompletionClient wraps the OpenAI model for Autogen - McpWorkbench connects the agent to the MCP tools - AssistantAgent is configured with the Pdfmonkey tools from the workbench ```python # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Pdfmonkey assistant agent with MCP tools agent = AssistantAgent( name="pdfmonkey_assistant", description="An AI assistant that helps with Pdfmonkey operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) ``` ### 7. Run the interactive chat loop What's happening: - The script prompts you in a loop with You: - Autogen passes your input to the model, which decides which Pdfmonkey tools to call via MCP - agent.run_stream(...) yields streaming messages as the agent thinks and calls tools - Typing exit, quit, or bye ends the loop ```python print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Pdfmonkey related question or task to the agent.\n") # Conversation loop 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") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, "content") and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from autogen_agentchat.agents import AssistantAgent from autogen_ext.models.openai import OpenAIChatCompletionClient from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams load_dotenv() async def main(): # Initialize Composio and create a Pdfmonkey session composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) session = composio.create( user_id=os.getenv("USER_ID"), toolkits=["pdfmonkey"] ) url = session.mcp.url # Configure MCP server parameters for Streamable HTTP server_params = StreamableHttpServerParams( url=url, timeout=30.0, sse_read_timeout=300.0, terminate_on_close=True, headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")} ) # Create model client model_client = OpenAIChatCompletionClient( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY") ) # Use McpWorkbench as context manager async with McpWorkbench(server_params) as workbench: # Create Pdfmonkey assistant agent with MCP tools agent = AssistantAgent( name="pdfmonkey_assistant", description="An AI assistant that helps with Pdfmonkey operations.", model_client=model_client, workbench=workbench, model_client_stream=True, max_tool_iterations=10 ) print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Pdfmonkey related question or task to the agent.\n") # Conversation loop 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") # Run the agent with streaming try: response_text = "" async for message in agent.run_stream(task=user_input): if hasattr(message, 'content') and message.content: response_text = message.content # Print the final response if response_text: print(f"Agent: {response_text}\n") else: print("Agent: I encountered an issue processing your request.\n") except Exception as e: print(f"Agent: Sorry, I encountered an error: {str(e)}\n") if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You now have an Autogen assistant wired into Pdfmonkey through Composio's Tool Router and MCP. From here you can: - Add more toolkits to the toolkits list, for example notion or hubspot - Refine the agent description to point it at specific workflows - Wrap this script behind a UI, Slack bot, or internal tool Once the pattern is clear for Pdfmonkey, you can reuse the same structure for other MCP-enabled apps with minimal code changes. ## How to build Pdfmonkey MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/pdfmonkey/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/pdfmonkey/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/pdfmonkey/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/pdfmonkey/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/pdfmonkey/framework/codex) - [OpenClaw](https://composio.dev/toolkits/pdfmonkey/framework/openclaw) - [Hermes](https://composio.dev/toolkits/pdfmonkey/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/pdfmonkey/framework/cli) - [Google ADK](https://composio.dev/toolkits/pdfmonkey/framework/google-adk) - [LangChain](https://composio.dev/toolkits/pdfmonkey/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/pdfmonkey/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/pdfmonkey/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/pdfmonkey/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/pdfmonkey/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 Pdfmonkey MCP? With a standalone Pdfmonkey MCP server, the agents and LLMs can only access a fixed set of Pdfmonkey tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Pdfmonkey and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Autogen? Yes, you can. Autogen 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 Pdfmonkey tools. ### Can I manage the permissions and scopes for Pdfmonkey while using Tool Router? Yes, absolutely. You can configure which Pdfmonkey 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 Pdfmonkey data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)