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Gutendex MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes

Built by Vinkius GDPR 3 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Gutendex through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Gutendex, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Gutendex MCP Server

Connect to Gutendex and explore the world's largest collection of free public domain ebooks through natural conversation — no API key needed.

The Vercel AI SDK gives every Gutendex tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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

  • Book Search — Search 70,000+ ebooks by title, author, subject or language
  • Book Details — Get complete info including authors, subjects, download formats (HTML, EPUB, Kindle, PDF) and download counts
  • Language Filter — Filter books by language (English, Portuguese, French, Spanish, German, etc.)
  • Author Filter — Filter by author birth/death year ranges
  • Copyright Filter — Filter by public domain or in-copyright status
  • Format Filter — Filter by available formats (PDF, EPUB, HTML, plain text, audiobook)
  • Direct Access — Look up books directly by Gutenberg URL or ID

The Gutendex MCP Server exposes 3 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.

How to Connect Gutendex to Vercel AI SDK via MCP

Follow these steps to integrate the Gutendex MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 3 tools from Gutendex and passes them to the LLM

Why Use Vercel AI SDK with the Gutendex MCP Server

Vercel AI SDK provides unique advantages when paired with Gutendex through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Gutendex integration everywhere

03

Built-in streaming UI primitives let you display Gutendex tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Gutendex + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Gutendex MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Gutendex in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Gutendex tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Gutendex capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Gutendex through natural language queries

Gutendex MCP Tools for Vercel AI SDK (3)

These 3 tools become available when you connect Gutendex to Vercel AI SDK via MCP:

01

get_book

Returns the title, authors (with birth/death years), subjects, bookshelves, languages, summary, download counts and all available formats/URLs (HTML, EPUB, Kindle, PDF, plain text). Common IDs: 1342 (Pride and Prejudice), 84 (Frankenstein), 4300 (Ulysses), 2701 (Moby Dick), 1727 (Romeo and Juliet). Get detailed info for a specific Gutenberg book

02

get_books_by_url

org URL and returns the book details. Accepts URLs like "https://www.gutenberg.org/ebooks/1342" or "https://www.gutenberg.org/files/1342/". Get book info from a Gutenberg URL

03

list_books

Supports powerful filters: search by title/author, topic/subject, language (ISO 2-letter codes like "en", "fr", "pt"), copyright status, MIME type (e.g. "application/pdf" for PDFs), author birth/death year ranges, and specific Gutenberg IDs. Results sorted by popularity (download count) by default. Returns book titles, authors, subjects, languages, download URLs and download counts. Supports pagination. Search Project Gutenberg ebooks via Gutendex

Example Prompts for Gutendex in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Gutendex immediately.

01

"Find Pride and Prejudice by Jane Austen."

02

"Search for science fiction books in Portuguese."

03

"Show me Frankenstein by Mary Shelley."

Troubleshooting Gutendex MCP Server with Vercel AI SDK

Common issues when connecting Gutendex to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Gutendex + Vercel AI SDK FAQ

Common questions about integrating Gutendex MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Gutendex to Vercel AI SDK

Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.