Docamatic MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Add Elements To Pdf, Generate Image From Html, Generate Pdf From Html, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Docamatic through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Docamatic app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Docamatic, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Docamatic MCP Server
Connect your Docamatic account to any AI agent and take full control of your document automation and media production workflows through natural conversation.
The Vercel AI SDK gives every Docamatic tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Document Orchestration — Convert raw HTML strings or live website URLs into professional, high-fidelity PDF and image files programmatically
- Template Intelligence — Create invoices, packing slips, and certificates by injecting dynamic data into predefined built-in templates directly through your agent
- PDF Manipulation — Draw new elements (text, QR codes, images) onto existing PDF documents or merge multiple files into a single finalized document
- Visual Intelligence — Capture high-quality full-page screenshots of any live website with automatic JavaScript rendering handling
- Workflow Monitoring — Access your complete directory of recently generated documents and monitor your production history directly from your agent
The Docamatic MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 8 Docamatic tools available for Vercel AI SDK
When Vercel AI SDK connects to Docamatic through Vinkius, your AI agent gets direct access to every tool listed below — spanning pdf-generation, html-to-pdf, document-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Draw text or images onto an existing PDF
Convert HTML or URL to Image
Convert HTML or URL to PDF
g. invoice1, packing_slip1) with JSON data. Generate a PDF from a predefined template
List common document templates
List recently generated documents
Combine several PDF files into one
Handles rendering automatically. Capture a full-page website screenshot
Connect Docamatic to Vercel AI SDK via MCP
Follow these steps to wire Docamatic into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Docamatic MCP Server
Vercel AI SDK provides unique advantages when paired with Docamatic through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Docamatic integration everywhere
Built-in streaming UI primitives let you display Docamatic tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Docamatic + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Docamatic MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Docamatic in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Docamatic tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Docamatic capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Docamatic through natural language queries
Example Prompts for Docamatic in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Docamatic immediately.
"Generate a professional PDF of the website 'https://vinkius.com'."
"Create an invoice for 'Acme Corp' using the 'invoice3' template."
"Take a full-page screenshot of 'https://news.google.com'."
Troubleshooting Docamatic MCP Server with Vercel AI SDK
Common issues when connecting Docamatic to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDocamatic + Vercel AI SDK FAQ
Common questions about integrating Docamatic MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.