How to Use the ThePDFMaker MCP in Vercel AI SDK
See your MCP tool results stream directly into React, Next.js, Svelte, and Vue frontends with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect ThePDFMaker MCP to Vercel AI SDK
Create your Vinkius account to connect ThePDFMaker to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Generate PDFs from HTML templates
The `generate_pdf` tool handles the core job: turning structured data into pixel-perfect documents. You pass in a template ID and necessary user variables, and ThePDFMaker sends back a job status immediately. Because PDF creation takes time, you'll need to poll the result using `get_pdf_status`. This pattern lets your AI client stream the initial request while managing the eventual asset retrieval.
Manage and list available templates
Before generating anything, check what’s possible. Use `list_pdf_templates` to get a full roster of IDs, or call `get_template_details` if you need specifics on a single template. Developers also control the lifecycle with this server; they can remove old templates using `delete_pdf_template`. This ensures your MCP Server only points to active and approved designs.
Track PDF status via webhooks
For high-volume flows, polling is tedious. Instead, you can set up event notifications with `create_webhook` and track them using `list_webhooks`. This tells your AI client when the document is actually ready. It’s a cleaner way to handle asynchronous tasks than constant status checks. You'll also find historical records in `list_recent_pdfs`, helping you debug or audit past runs.
Set up ThePDFMaker MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all ThePDFMaker tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 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.
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 ThePDFMaker 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 PDFMaker. 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.
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Common questions about ThePDFMaker MCP in Vercel AI SDK
Use it with your favorite AI tools
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