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How to Use the Gotenberg MCP in Vercel AI SDK

Render PDF generation and URL screenshots directly to your Next.js UI using Vercel AI SDK and this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Gotenberg MCP on Cursor AI Code Editor MCP Client Gotenberg MCP on Claude Desktop App MCP Integration Gotenberg MCP on OpenAI Agents SDK MCP Compatible Gotenberg MCP on Visual Studio Code MCP Extension Client Gotenberg MCP on GitHub Copilot AI Agent MCP Integration Gotenberg MCP on Google Gemini AI MCP Integration Gotenberg MCP on Lovable AI Development MCP Client Gotenberg MCP on Mistral AI Agents MCP Compatible Gotenberg MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Gotenberg MCP to Vercel AI SDK

Create your Vinkius account to connect Gotenberg to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Render PDFs directly in your Vercel AI SDK UI

Watch PDFs compile in real-time as your agent feeds raw markup to `convert_html_to_pdf` and streams the base64 output straight to your React components. Instead of forcing users to wait for a spinning wheel, this setup displays document previews dynamically as the data arrives. Run `convert_markdown_to_pdf` to instantly turn text blocks into styled documents on the edge. Because Vercel AI SDK supports direct tool streaming, your application renders these generated files without blocking the main browser thread.

Capture and display live web screenshots

When your agent needs to analyze or display a live web page inside your Svelte or Vue application, it calls `screenshot_url` to grab a clean image. The Vercel AI SDK handles this payload natively, letting you pipe the base64 image data directly into an image tag on the client side. Capture local layouts with `screenshot_html` to check visual states before committing to a final document. This gives your users immediate visual feedback on dynamic HTML layouts without any backend polling.

Edit PDF metadata on the edge

Manage document properties on the fly inside Edge Functions using `write_pdf_metadata` to tag files before they hit your storage buckets. The Vercel AI SDK coordinates this step instantly, allowing your agent to update author info, titles, or custom fields based on user conversations. By calling `read_pdf_metadata` first, your agent inspects existing files to check compliance or extract structural details. This keeps your edge routes lightweight because you don't need to load heavy node-specific PDF parsing libraries.

Setup guide

Set up Gotenberg MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Gotenberg tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Gotenberg transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gotenberg. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Gotenberg MCP in Vercel AI SDK

Run `npm install ai @ai-sdk/mcp` to get the required packages. Then, configure the server using `createMCPClient` with the HTTP transport pointing to your Vinkius endpoint, and pass the tools directly into `streamText`.
Yes, this MCP Server is built to run in edge environments. You can call tools like `convert_url_to_pdf` directly from your Next.js edge routes without hitting typical Node.js runtime limitations.
Since Vercel AI SDK supports streaming, you can keep the connection alive while `convert_office_to_pdf` runs. For massive files, split the work by calling `split_pdf` to process smaller chunks before merging them back.
Yes, your agent can take multiple document inputs from user chat and pass them to `merge_pdfs`. The resulting base64 string can be immediately offered as a download link in your React UI.
All raw HTML, markdown strings, and PDF files are processed in isolated, ephemeral V8 sandboxes. Vinkius never stores your generated documents or source URLs, ensuring your sensitive business reports remain private and secure.

Start using the Gotenberg MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 16 tools

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No hosting. No infrastructure. No complex setup.
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