# How to integrate Pdfmonkey MCP with LangChain ```json { "title": "How to integrate Pdfmonkey MCP with LangChain", "toolkit": "Pdfmonkey", "toolkit_slug": "pdfmonkey", "framework": "LangChain", "framework_slug": "langchain", "url": "https://composio.dev/toolkits/pdfmonkey/framework/langchain", "markdown_url": "https://composio.dev/toolkits/pdfmonkey/framework/langchain.md", "updated_at": "2026-05-06T08:23:18.208Z" } ``` ## Introduction This guide walks you through connecting Pdfmonkey to LangChain 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 LangChain 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) - [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 - Connect your Pdfmonkey project to Composio - Create a Tool Router MCP session for Pdfmonkey - Initialize an MCP client and retrieve Pdfmonkey tools - Build a LangChain agent that can interact with Pdfmonkey - Set up an interactive chat interface for testing ## What is LangChain? LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context. Key features include: - Agent Framework: Build agents that can use tools and make decisions - MCP Integration: Connect to external services through Model Context Protocol adapters - Memory Management: Maintain conversation history across interactions - Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers ## 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 | Tool to create a new Document Template. Use when you need to define a template with custom content, styles, and settings before generating PDF documents. | | `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. 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. Use when you need the full document record including payload, meta, logs, and download URL. | | `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 | Tool to list available PDF engines with deprecation metadata. Use when you need to choose a rendering engine before generating PDFs. | | `PDFMONKEY_LIST_TEMPLATES` | List Template Cards | Tool to list template cards for a workspace. Use when you need to retrieve templates with optional folder filters, pagination, and sorting. | | `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_DOCUMENT` | Preview Document | Tool to open a document preview via a PDF.js viewer. Use when you need to embed the PDF preview in an iframe after obtaining the document ID. | | `PDFMONKEY_PREVIEW_TEMPLATE` | Preview Template | Tool to preview a template draft as a real PDF via the preview_url. Use after obtaining a template's preview_url. | | `PDFMONKEY_UPDATE_DOCUMENT` | Update Document | Tool to update a Document’s payload, meta, or status. Use when you need to modify a document properties or regenerate it. | | `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 agent to Pdfmonkey. It provides structured and secure access so your agent can perform Pdfmonkey 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 No description provided. ### 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 No description provided. ```python pip install composio-langchain langchain-mcp-adapters langchain python-dotenv ``` ```typescript npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your requests to Composio's API - COMPOSIO_USER_ID identifies the user for session management - OPENAI_API_KEY enables access to OpenAI's language models ```bash COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_composio_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies No description provided. ```python from langchain_mcp_adapters.client import MultiServerMCPClient from langchain.agents import create_agent from dotenv import load_dotenv from composio import Composio import asyncio import os load_dotenv() ``` ```typescript import { Composio } from '@composio/core'; import { LangchainProvider } from '@composio/langchain'; import { MultiServerMCPClient } from "@langchain/mcp-adapters"; import { createAgent } from "langchain"; import * as readline from 'readline'; import 'dotenv/config'; dotenv.config(); ``` ### 5. Initialize Composio client What's happening: - We're loading the COMPOSIO_API_KEY from environment variables and validating it exists - Creating a Composio instance that will manage our connection to Pdfmonkey tools - Validating that COMPOSIO_USER_ID is also set before proceeding ```python async def main(): composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) if not os.getenv("COMPOSIO_API_KEY"): raise ValueError("COMPOSIO_API_KEY is not set") if not os.getenv("COMPOSIO_USER_ID"): raise ValueError("COMPOSIO_USER_ID is not set") ``` ```typescript const composioApiKey = process.env.COMPOSIO_API_KEY; const userId = process.env.COMPOSIO_USER_ID; if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set'); if (!userId) throw new Error('COMPOSIO_USER_ID is not set'); async function main() { const composio = new Composio({ apiKey: composioApiKey as string, provider: new LangchainProvider() }); ``` ### 6. Create a Tool Router session What's happening: - We're creating a Tool Router session that gives your agent access to Pdfmonkey 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 - This approach allows the agent to dynamically load and use Pdfmonkey tools as needed ```python # Create Tool Router session for Pdfmonkey session = composio.create( user_id=os.getenv("COMPOSIO_USER_ID"), toolkits=['pdfmonkey'] ) url = session.mcp.url ``` ```typescript const session = await composio.create( userId as string, { toolkits: ['pdfmonkey'] } ); const url = session.mcp.url; ``` ### 7. Configure the agent with the MCP URL No description provided. ```python client = MultiServerMCPClient({ "pdfmonkey-agent": { "transport": "streamable_http", "url": session.mcp.url, "headers": { "x-api-key": os.getenv("COMPOSIO_API_KEY") } } }) tools = await client.get_tools() agent = create_agent("gpt-5", tools) ``` ```typescript const client = new MultiServerMCPClient({ "pdfmonkey-agent": { transport: "http", url: url, headers: { "x-api-key": process.env.COMPOSIO_API_KEY } } }); const tools = await client.getTools(); const agent = createAgent({ model: "gpt-5", tools }); ``` ### 8. Set up interactive chat interface No description provided. ```python conversation_history = [] print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Pdfmonkey related question or task to the agent.\n") while True: user_input = input("You: ").strip() if user_input.lower() in ['exit', 'quit', 'bye']: print("\nGoodbye!") break if not user_input: continue conversation_history.append({"role": "user", "content": user_input}) print("\nAgent is thinking...\n") response = await agent.ainvoke({"messages": conversation_history}) conversation_history = response['messages'] final_response = response['messages'][-1].content print(f"Agent: {final_response}\n") ``` ```typescript let conversationHistory: any[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log("Ask any Pdfmonkey related question or task to the agent.\n"); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: 'You: ' }); rl.prompt(); rl.on('line', async (userInput: string) => { const trimmedInput = userInput.trim(); if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } conversationHistory.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); const response = await agent.invoke({ messages: conversationHistory }); conversationHistory = response.messages; const finalResponse = response.messages[response.messages.length - 1]?.content; console.log(`Agent: ${finalResponse}\n`); rl.prompt(); }); rl.on('close', () => { console.log('\n👋 Session ended.'); process.exit(0); }); ``` ### 9. Run the application No description provided. ```python if __name__ == "__main__": asyncio.run(main()) ``` ```typescript main().catch((err) => { console.error('Fatal error:', err); process.exit(1); }); ``` ## Complete Code ```python from langchain_mcp_adapters.client import MultiServerMCPClient from langchain.agents import create_agent from dotenv import load_dotenv from composio import Composio import asyncio import os load_dotenv() async def main(): composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY")) if not os.getenv("COMPOSIO_API_KEY"): raise ValueError("COMPOSIO_API_KEY is not set") if not os.getenv("COMPOSIO_USER_ID"): raise ValueError("COMPOSIO_USER_ID is not set") session = composio.create( user_id=os.getenv("COMPOSIO_USER_ID"), toolkits=['pdfmonkey'] ) url = session.mcp.url client = MultiServerMCPClient({ "pdfmonkey-agent": { "transport": "streamable_http", "url": url, "headers": { "x-api-key": os.getenv("COMPOSIO_API_KEY") } } }) tools = await client.get_tools() agent = create_agent("gpt-5", tools) conversation_history = [] print("Chat started! Type 'exit' or 'quit' to end the conversation.\n") print("Ask any Pdfmonkey related question or task to the agent.\n") while True: user_input = input("You: ").strip() if user_input.lower() in ['exit', 'quit', 'bye']: print("\nGoodbye!") break if not user_input: continue conversation_history.append({"role": "user", "content": user_input}) print("\nAgent is thinking...\n") response = await agent.ainvoke({"messages": conversation_history}) conversation_history = response['messages'] final_response = response['messages'][-1].content print(f"Agent: {final_response}\n") if __name__ == "__main__": asyncio.run(main()) ``` ```typescript import { Composio } from '@composio/core'; import { LangchainProvider } from '@composio/langchain'; import { MultiServerMCPClient } from "@langchain/mcp-adapters"; import { createAgent } from "langchain"; import * as readline from 'readline'; import 'dotenv/config'; const composioApiKey = process.env.COMPOSIO_API_KEY; const userId = process.env.COMPOSIO_USER_ID; if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set'); if (!userId) throw new Error('COMPOSIO_USER_ID is not set'); async function main() { const composio = new Composio({ apiKey: composioApiKey as string, provider: new LangchainProvider() }); const session = await composio.create( userId as string, { toolkits: ['pdfmonkey'] } ); const url = session.mcp.url; const client = new MultiServerMCPClient({ "pdfmonkey-agent": { transport: "http", url: url, headers: { "x-api-key": process.env.COMPOSIO_API_KEY } } }); const tools = await client.getTools(); const agent = createAgent({ model: "gpt-5", tools }); let conversationHistory: any[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log("Ask any Pdfmonkey related question or task to the agent.\n"); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: 'You: ' }); rl.prompt(); rl.on('line', async (userInput: string) => { const trimmedInput = userInput.trim(); if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } conversationHistory.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); const response = await agent.invoke({ messages: conversationHistory }); conversationHistory = response.messages; const finalResponse = response.messages[response.messages.length - 1]?.content; console.log(`Agent: ${finalResponse}\n`); rl.prompt(); }); rl.on('close', () => { console.log('\nSession ended.'); process.exit(0); }); } main().catch((err) => { console.error('Fatal error:', err); process.exit(1); }); ``` ## Conclusion You've successfully built a LangChain agent that can interact with Pdfmonkey through Composio's Tool Router. Key features of this implementation: - Dynamic tool loading through Composio's Tool Router - Conversation history maintenance for context-aware responses - Async Python provides clean, efficient execution of agent workflows You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## 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) - [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 LangChain? Yes, you can. LangChain 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)