# How to integrate Pdf co MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Pdf co MCP with Vercel AI SDK v6", "toolkit": "Pdf co", "toolkit_slug": "pdf_co", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/pdf_co/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/pdf_co/framework/ai-sdk.md", "updated_at": "2026-05-12T10:21:38.259Z" } ``` ## Introduction This guide walks you through connecting Pdf co to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Pdf co agent that can extract invoice data from uploaded pdf file, convert excel spreadsheet at url to json, generate a qr code for a payment link through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Pdf co account through Composio's Pdf co MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Pdf co with - [ChatGPT](https://composio.dev/toolkits/pdf_co/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/pdf_co/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/pdf_co/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/pdf_co/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/pdf_co/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/pdf_co/framework/codex) - [Cursor](https://composio.dev/toolkits/pdf_co/framework/cursor) - [VS Code](https://composio.dev/toolkits/pdf_co/framework/vscode) - [OpenCode](https://composio.dev/toolkits/pdf_co/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/pdf_co/framework/openclaw) - [Hermes](https://composio.dev/toolkits/pdf_co/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/pdf_co/framework/cli) - [Google ADK](https://composio.dev/toolkits/pdf_co/framework/google-adk) - [LangChain](https://composio.dev/toolkits/pdf_co/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/pdf_co/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/pdf_co/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/pdf_co/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Pdf co integration - Using Composio's Tool Router to dynamically load and access Pdf co tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## What is the Pdf co MCP server, and what's possible with it? The Pdf co MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Pdf co account. It provides structured and secure access to your PDF.co capabilities, so your agent can extract data, generate documents, convert files, process barcodes, and manage asynchronous jobs on your behalf. - Automated PDF data extraction and parsing: Let your agent extract structured data from PDFs using templates or parse documents for key information—perfect for receipts, invoices, and more. - PDF creation, splitting, and merging: Generate new PDF files, combine multiple PDFs, or split documents into separate files without manual intervention. - File format conversion: Seamlessly convert Excel files to CSV, HTML, JSON, text, or XML, enabling efficient data analysis and workflow automation. - Barcode generation and processing: Instantly create various barcode formats (QR codes, Code128, PDF417, etc.) or encode data into barcodes for labeling and tracking. - Job management and file uploads: Upload documents to PDF.co, track the status of asynchronous jobs, and retrieve results—all through your agent, hands-free. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `PDF_CO_ACCOUNT_BALANCE_INFO` | Get Account Balance Info | Tool to get account balance info. Use after authenticating to check remaining credits. | | `PDF_CO_CONVERT_EXCEL_TO_CSV` | Convert Excel to CSV | Tool to convert an Excel file (XLS/XLSX) to CSV. Use when you have a public Excel file URL and need CSV output. Inline option returns data inline; otherwise provides download URL. | | `PDF_CO_CONVERT_EXCEL_TO_HTML` | Convert Excel to HTML | Tool to convert an Excel file to HTML. Use when you have an Excel URL and need HTML output. | | `PDF_CO_CONVERT_EXCEL_TO_JSON` | Convert Excel to JSON | Tool to convert an online Excel or CSV file to JSON format. Use when you have a public file URL and need structured data extraction. | | `PDF_CO_CONVERT_EXCEL_TO_TEXT` | Convert Excel to Text | Tool to convert Excel files to plain text. Use after providing an Excel file URL to extract spreadsheet content. | | `PDF_CO_CONVERT_EXCEL_TO_XML` | Convert Excel to XML | Tool to convert an Excel file to XML. Use when needing XML output from xls/xlsx/csv synchronously or asynchronously. | | `PDF_CO_DOCUMENT_PARSER` | Document Parser | Tool to parse documents based on predefined templates to extract structured data. Use when you need to extract structured fields from a PDF by supplying a custom template. | | `PDF_CO_FILE_UPLOAD` | Upload File | Tool to upload a local file or remote URL to PDF.co, returning a hosted URL for downstream processing. Use when a PDF.co tool (e.g., PDF_CO_PDF_FROM_HTML) requires a remote URL but you have a local file. | | `PDF_CO_JOB_CHECK` | Check Job Status | Tool to check status and result of an asynchronous job. Use after submitting a job to poll for completion. | | `PDF_CO_PDF_ADD` | Add Content to PDF | Tool to add content to an existing PDF. Use when you need to overlay text, images, barcodes, or links before distributing the file. | | `PDF_CO_PDF_CHANGE_TEXT_SEARCHABLE` | Change PDF Text Searchable | Tool to make PDF text searchable using OCR. Use when you need to add a searchable text layer to scanned or image-only PDF documents. | | `PDF_CO_BARCODE_GENERATE` | Generate Barcode | Tool to generate high quality barcode images in 45+ formats including QR Code, Code 128, Code 39, and more. Use when you need to create barcodes with customization options like rotation, decoration images for QR codes, or async processing. | | `PDF_CO_PDFCO_POST_FILE_UPLOAD_BASE64` | Upload File from Base64 | Tool to create a temporary file using base64-encoded source data. Use when you need to upload file content as base64 to PDF.co for downstream processing. Temporary files are automatically deleted after 1 hour (or custom expiration time). | | `PDF_CO_PDF_DELETE_PAGES` | Delete PDF Pages | Tool to delete specific pages from a PDF file. Use when you need to remove unwanted pages before further processing. | | `PDF_CO_PDF_EXTRACT_ATTACHMENTS` | Extract PDF Attachments | Tool to extract embedded attachments from a PDF. Use when you need to retrieve embedded files from a PDF after uploading. | | `PDF_CO_PDF_FIND` | Find Text in PDF | Tool to find text in a PDF document. Use when you need to locate keywords or regex patterns and get their page positions. | | `PDF_CO_PDF_FORMS_INFO_READER` | PDF Forms Info Reader | Tool to extract form field information from a PDF. Use when you need to retrieve names, types, and values of form fields. Returns field names, types (CheckBox, EditBox, RadioButton, ComboBox), values, and position coordinates. | | `PDF_CO_PDF_FROM_DOCUMENT_TXT` | Convert Text to PDF | Tool to convert a plain text (.txt) file to PDF. Use when you have a public URL to a text file; raw inline text is not accepted by the endpoint. | | `PDF_CO_PDF_FROM_EMAIL` | Convert Email to PDF | Tool to convert email files (.eml/.msg) to PDF. Use when you need to transform standalone email messages into PDF documents. | | `PDF_CO_PDF_FROM_HTML` | Convert HTML to PDF | Tool to convert HTML code or webpage URL into a PDF document. Use when you need to capture a webpage or HTML snippet as a PDF file. | | `PDF_CO_PDF_INFO_READER` | PDF Info Reader | Tool to retrieve detailed information and metadata of a PDF. Use when you need page count, author, encryption details, and other document properties. | | `PDF_CO_PDF_MERGE` | Merge PDFs | Tool to merge multiple PDF files into one document. Use when you need to combine several PDF URLs into a single PDF file. | | `PDF_CO_PDF_ROTATE` | Rotate PDF Pages | Tool to rotate selected pages in a PDF. Use when you need to adjust the orientation of specific pages in an online PDF file before further processing. | | `PDF_CO_PDF_SEARCH_AND_DELETE_TEXT` | Search and Delete Text in PDF | Tool to search for and delete text in a PDF by keyword or regex. Use when you need to remove sensitive or unwanted text from a PDF document. | | `PDF_CO_PDF_SEARCH_AND_REPLACE_TEXT` | Search and Replace Text in PDF | Tool to search for and replace text in a PDF document. Use when you need to update specific text instances within an existing PDF file (e.g., changing invoice numbers). | | `PDF_CO_PDF_SPLIT` | Split PDF | Tool to split a PDF into multiple files by page ranges. Use when you need to extract specific pages or page ranges from a PDF. | | `PDF_CO_PDF_TO_CSV` | Convert PDF to CSV | Tool to convert PDF or scanned images to CSV format. Use when you need to extract tabular data from a PDF into CSV format. | | `PDF_CO_PDF_TO_HTML` | Convert PDF to HTML | Tool to convert PDF documents to HTML. Use when you need an HTML rendition of a PDF or scanned image. | | `PDF_CO_PDF_TO_IMAGE` | Convert PDF to Image | Tool to convert PDF pages to images (PNG, JPG, TIFF). Use when you need image previews of PDF content. | | `PDF_CO_PDF_TO_JSON` | Convert PDF to JSON | Tool to convert PDF or scanned images to JSON format. Use when you need a structured JSON representation of PDF content. | | `PDF_CO_PDF_TO_TEXT` | Convert PDF to Text | Tool to convert PDF or scanned images to plain text. Use when you need raw text output preserving layout. | | `PDF_CO_PDF_TO_XLS` | Convert PDF to XLS | Tool to convert PDF or scanned images to XLS format. Use when you need to extract tabular data into an Excel spreadsheet. | | `PDF_CO_PDF_TO_XLSX` | Convert PDF to XLSX | Tool to convert PDF or scanned images to XLSX (Excel) format. Use when you need structured spreadsheet output from a PDF. | | `PDF_CO_PDF_TO_XML` | Convert PDF to XML | Tool to convert PDF or scanned images to XML format. Use when you need to extract structured data from PDF into XML. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Pdf co MCP server is an implementation of the Model Context Protocol that connects your AI agent to Pdf co. It provides structured and secure access so your agent can perform Pdf co 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 you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 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 required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); ``` ### 5. Create Tool Router session and initialize MCP client What's happening: - We're creating a Tool Router session that gives your agent access to Pdf co tools - The create method takes the user ID and specifies which toolkits should be available - The returned mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Pdf co-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["pdf_co"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Pdf co tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to pdf_co, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Pdf co tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript 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; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["pdf_co"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to pdf_co, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); 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; } messages.push({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Pdf co agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## How to build Pdf co MCP Agent with another framework - [ChatGPT](https://composio.dev/toolkits/pdf_co/framework/chatgpt) - [OpenAI Agents SDK](https://composio.dev/toolkits/pdf_co/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/pdf_co/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/pdf_co/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/pdf_co/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/pdf_co/framework/codex) - [Cursor](https://composio.dev/toolkits/pdf_co/framework/cursor) - [VS Code](https://composio.dev/toolkits/pdf_co/framework/vscode) - [OpenCode](https://composio.dev/toolkits/pdf_co/framework/opencode) - [OpenClaw](https://composio.dev/toolkits/pdf_co/framework/openclaw) - [Hermes](https://composio.dev/toolkits/pdf_co/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/pdf_co/framework/cli) - [Google ADK](https://composio.dev/toolkits/pdf_co/framework/google-adk) - [LangChain](https://composio.dev/toolkits/pdf_co/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/pdf_co/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/pdf_co/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/pdf_co/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 Pdf co MCP? With a standalone Pdf co MCP server, the agents and LLMs can only access a fixed set of Pdf co tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Pdf co and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 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 Pdf co tools. ### Can I manage the permissions and scopes for Pdf co while using Tool Router? Yes, absolutely. You can configure which Pdf co 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 Pdf co data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)