# How to integrate Text to pdf MCP with CrewAI ```json { "title": "How to integrate Text to pdf MCP with CrewAI", "toolkit": "Text to pdf", "toolkit_slug": "text_to_pdf", "framework": "CrewAI", "framework_slug": "crew-ai", "url": "https://composio.dev/toolkits/text_to_pdf/framework/crew-ai", "markdown_url": "https://composio.dev/toolkits/text_to_pdf/framework/crew-ai.md", "updated_at": "2026-05-12T10:28:13.123Z" } ``` ## Introduction This guide walks you through connecting Text to pdf to CrewAI using the Composio tool router. By the end, you'll have a working Text to pdf agent that can convert meeting notes into a pdf file, turn a chat conversation into a pdf report, create a pdf from a project summary text through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Text to pdf account through Composio's Text to pdf MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Text to pdf with - [OpenAI Agents SDK](https://composio.dev/toolkits/text_to_pdf/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/text_to_pdf/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/text_to_pdf/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/text_to_pdf/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/text_to_pdf/framework/codex) - [OpenClaw](https://composio.dev/toolkits/text_to_pdf/framework/openclaw) - [Hermes](https://composio.dev/toolkits/text_to_pdf/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/text_to_pdf/framework/cli) - [Google ADK](https://composio.dev/toolkits/text_to_pdf/framework/google-adk) - [LangChain](https://composio.dev/toolkits/text_to_pdf/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/text_to_pdf/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/text_to_pdf/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/text_to_pdf/framework/llama-index) ## TL;DR Here's what you'll learn: - Get a Composio API key and configure your Text to pdf connection - Set up CrewAI with an MCP enabled agent - Create a Tool Router session or standalone MCP server for Text to pdf - Build a conversational loop where your agent can execute Text to pdf operations ## What is CrewAI? CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews. Key features include: - Agent Roles: Define specialized agents with specific goals and backstories - Task Management: Create tasks with clear descriptions and expected outputs - Crew Orchestration: Combine agents and tasks into collaborative workflows - MCP Integration: Connect to external tools through Model Context Protocol ## What is the Text to pdf MCP server, and what's possible with it? The Text to pdf MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Text to pdf toolkit. It provides structured and secure access to high-quality PDF conversion workflows, so your agent can instantly convert plain text, formatted notes, or generated content into downloadable PDFs on your behalf. - Instant text-to-PDF conversion: Let your agent transform any block of text into a well-formatted, ready-to-share PDF document in seconds. - Automated report and summary generation: Have your agent compile summaries, meeting notes, or transcripts into polished PDFs for easy distribution or archiving. - Create printable resources from AI output: Effortlessly generate printable guides, checklists, or instructions from AI-generated text to PDF format. - Batch document creation: Ask your agent to convert multiple text inputs into separate PDF files, streamlining repetitive documentation tasks. - On-demand documentation packaging: Quickly turn chatbot or assistant responses into downloadable PDFs for sharing or record-keeping. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `TEXT_TO_PDF_CONVERT_TEXT_TO_PDF` | Convert Text to PDF | Convert plain text or Markdown content into a downloadable PDF document. Supports Unicode characters, special symbols, and Markdown formatting including headers, lists, code blocks, links, and emphasis. Images require publicly accessible URLs to render. Response PDF URL is at `data.file.s3url`; also returns `data.file.name` and `data.file.mimetype`. | | `TEXT_TO_PDF_DELETE_ASYNC_JOB` | Delete Async Job | Tool to delete an asynchronous conversion job. Use when a job is no longer required to free up server resources. Jobs are automatically deleted after 3 hours if not manually removed. | | `TEXT_TO_PDF_DELETE_FILE` | Delete File | Tool to delete a file from ConvertAPI server. Use when a file is no longer needed and should be removed from temporary storage. | | `TEXT_TO_PDF_DOWNLOAD_FILE` | Download File | Download a file from ConvertAPI server using its unique File ID. Use this after converting or uploading files to retrieve the result. The file must exist on the server and not be expired. | | `TEXT_TO_PDF_START_ASYNC_CONVERSION` | Start Async Conversion | Start an asynchronous file conversion job using ConvertAPI. Returns a JobId that can be used to poll for conversion results. Optionally supports WebHook callback for push notification when conversion completes. | | `TEXT_TO_PDF_UPLOAD_FILE` | Upload File to ConvertAPI | Upload a file to ConvertAPI server for subsequent conversions. Supports direct file upload or remote URL upload. Files are stored securely for up to 3 hours and can be referenced by File ID in conversion requests. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Text to pdf MCP server is an implementation of the Model Context Protocol that connects your AI agent to Text to pdf. It provides structured and secure access so your agent can perform Text to pdf 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 and API key - A Text to pdf connection authorized in Composio - An OpenAI API key for the CrewAI LLM - Basic familiarity with Python ### 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 **What's happening:** - composio connects your agent to Text to pdf via MCP - crewai provides Agent, Task, Crew, and LLM primitives - crewai-tools[mcp] includes MCP helpers - python-dotenv loads environment variables from .env ```bash pip install composio crewai crewai-tools[mcp] python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates with Composio - USER_ID scopes the session to your account - OPENAI_API_KEY lets CrewAI use your chosen OpenAI model ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import dependencies **What's happening:** - CrewAI classes define agents and tasks, and run the workflow - MCPServerHTTP connects the agent to an MCP endpoint - Composio will give you a short lived Text to pdf MCP URL ```python import os from composio import Composio from crewai import Agent, Task, Crew from crewai_tools import MCPServerAdapter import dotenv dotenv.load_dotenv() COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set") ``` ### 5. Create a Composio Tool Router session for Text to pdf **What's happening:** - You create a Text to pdf only session through Composio - Composio returns an MCP HTTP URL that exposes Text to pdf tools ```python composio_client = Composio(api_key=COMPOSIO_API_KEY) session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["text_to_pdf"]) url = session.mcp.url ``` ### 6. Initialize the MCP Server **What's Happening:** - Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication. - MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format. - Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools. - Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops. - Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries. ```python server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users search the internet effectively", backstory="You are a helpful assistant with access to search tools.", tools=tools, verbose=False, max_iter=10, ) ``` ### 7. Create a CLI Chatloop and define the Crew **What's Happening:** - Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable. - Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean. - Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses. - Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context. - Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response. - Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity. ```python print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Complete Code ```python from crewai import Agent, Task, Crew, LLM from crewai_tools import MCPServerAdapter from composio import Composio from dotenv import load_dotenv import os load_dotenv() GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY") COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY") COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID") if not GOOGLE_API_KEY: raise ValueError("GOOGLE_API_KEY is not set in the environment.") if not COMPOSIO_API_KEY: raise ValueError("COMPOSIO_API_KEY is not set in the environment.") if not COMPOSIO_USER_ID: raise ValueError("COMPOSIO_USER_ID is not set in the environment.") # Initialize Composio and create a session composio = Composio(api_key=COMPOSIO_API_KEY) session = composio.create( user_id=COMPOSIO_USER_ID, toolkits=["text_to_pdf"], ) url = session.mcp.url # Configure LLM llm = LLM( model="gpt-5", api_key=os.getenv("OPENAI_API_KEY"), ) server_params = { "url": url, "transport": "streamable-http", "headers": {"x-api-key": COMPOSIO_API_KEY}, } with MCPServerAdapter(server_params) as tools: agent = Agent( role="Search Assistant", goal="Help users with internet searches", backstory="You are an expert assistant with access to Composio Search tools.", tools=tools, llm=llm, verbose=False, max_iter=10, ) print("Chat started! Type 'exit' or 'quit' to end.\n") conversation_context = "" while True: user_input = input("You: ").strip() if user_input.lower() in ["exit", "quit", "bye"]: print("\nGoodbye!") break if not user_input: continue conversation_context += f"\nUser: {user_input}\n" print("\nAgent is thinking...\n") task = Task( description=( f"Conversation history:\n{conversation_context}\n\n" f"Current request: {user_input}" ), expected_output="A helpful response addressing the user's request", agent=agent, ) crew = Crew(agents=[agent], tasks=[task], verbose=False) result = crew.kickoff() response = str(result) conversation_context += f"Agent: {response}\n" print(f"Agent: {response}\n") ``` ## Conclusion You now have a CrewAI agent connected to Text to pdf through Composio's Tool Router. The agent can perform Text to pdf operations through natural language commands. Next steps: - Add role-specific instructions to customize agent behavior - Plug in more toolkits for multi-app workflows - Chain tasks for complex multi-step operations ## How to build Text to pdf MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/text_to_pdf/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/text_to_pdf/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/text_to_pdf/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/text_to_pdf/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/text_to_pdf/framework/codex) - [OpenClaw](https://composio.dev/toolkits/text_to_pdf/framework/openclaw) - [Hermes](https://composio.dev/toolkits/text_to_pdf/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/text_to_pdf/framework/cli) - [Google ADK](https://composio.dev/toolkits/text_to_pdf/framework/google-adk) - [LangChain](https://composio.dev/toolkits/text_to_pdf/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/text_to_pdf/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/text_to_pdf/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/text_to_pdf/framework/llama-index) ## 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 Text to pdf MCP? With a standalone Text to pdf MCP server, the agents and LLMs can only access a fixed set of Text to pdf tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Text to pdf and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with CrewAI? Yes, you can. CrewAI 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 Text to pdf tools. ### Can I manage the permissions and scopes for Text to pdf while using Tool Router? Yes, absolutely. You can configure which Text to pdf 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 Text to pdf 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)