Tome (AI Storytelling) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to Add Page, Create Tome, Get Tome, and more

Name: Tome (AI Storytelling)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The Tome (AI Storytelling) MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 5 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 Tome (AI Storytelling), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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* 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 Tome (AI Storytelling) MCP Server

Connect your Tome account to any AI agent to streamline your AI-driven storytelling and presentation workflows through natural conversation.

The Vercel AI SDK gives every Tome (AI Storytelling) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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

Workspaces & Tomes — List all accessible workspaces and fetch active tomes directly from the Tome cloud
Tome Management — Create new tomes in specific workspaces and organize your storytelling projects
Page Operations — Add new pages to existing tomes to expand your narrative dynamically
Deep Inspection — Fetch complete metadata and page details for specific tomes to understand their structure

The Tome (AI Storytelling) MCP Server exposes 5 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 5 Tome (AI Storytelling) tools available for Vercel AI SDK

When Vercel AI SDK connects to Tome (AI Storytelling) through Vinkius, your AI agent gets direct access to every tool listed below — spanning storytelling, presentations, ai-content, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add page on Tome (AI Storytelling)

Add a new page to an existing tome

create

Create tome on Tome (AI Storytelling)

Create a new tome in a workspace

get

Get tome on Tome (AI Storytelling)

Get detailed information about a specific tome

list

List tomes on Tome (AI Storytelling)

List tomes in a workspace

list

List workspaces on Tome (AI Storytelling)

List Tome workspaces

Connect Tome (AI Storytelling) to Vercel AI SDK via MCP

Follow these steps to wire Tome (AI Storytelling) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

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

Explore tools

The SDK discovers 5 tools from Tome (AI Storytelling) and passes them to the LLM

Why Use Vercel AI SDK with the Tome (AI Storytelling) MCP Server

Vercel AI SDK provides unique advantages when paired with Tome (AI Storytelling) 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 Tome (AI Storytelling) integration everywhere

Built-in streaming UI primitives let you display Tome (AI Storytelling) 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

Tome (AI Storytelling) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Tome (AI Storytelling) MCP Server delivers measurable value.

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

API backends: create serverless endpoints that orchestrate Tome (AI Storytelling) tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Tome (AI Storytelling) capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Tome (AI Storytelling) through natural language queries

Example Prompts for Tome (AI Storytelling) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Tome (AI Storytelling) immediately.

"List all my Tome workspaces."

"Create a new tome titled 'Product Roadmap 2025' in workspace ws_987."

"Add a page called 'Market Analysis' to tome tome_abc123."

Troubleshooting Tome (AI Storytelling) MCP Server with Vercel AI SDK

Common issues when connecting Tome (AI Storytelling) to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Tome (AI Storytelling) + Vercel AI SDK FAQ

Common questions about integrating Tome (AI Storytelling) MCP Server with Vercel AI SDK.

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.

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.

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.

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