Tome (AI Storytelling) MCP Server for Mastra AIGive Mastra AI 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

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Tome (AI Storytelling) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

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The Tome (AI Storytelling) MCP Server for Mastra AI 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

Vinkius delivers Streamable HTTP and SSE to any MCP client

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ChatGPT

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VS Code

JetBrains

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+ other MCP clients

typescript

import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "tome-ai-storytelling": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Tome (AI Storytelling) Agent",
    instructions:
      "You help users interact with Tome (AI Storytelling) " +
      "using 5 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Tome (AI Storytelling)?"
  );
  console.log(result.text);
}

main();

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Tome (AI Storytelling) tool infrastructure. Connect 5 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

Mastra discovers 5 tools from Tome (AI Storytelling) via MCP

Why Use Mastra AI with the Tome (AI Storytelling) MCP Server

Mastra AI provides unique advantages when paired with Tome (AI Storytelling) through the Model Context Protocol.

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Tome (AI Storytelling) without touching business code

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

TypeScript-native: full type inference for every Tome (AI Storytelling) tool response with IDE autocomplete and compile-time checks

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Tome (AI Storytelling) + Mastra AI Use Cases

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

Automated workflows: build multi-step agents that query Tome (AI Storytelling), process results, and trigger downstream actions in a typed pipeline

SaaS integrations: embed Tome (AI Storytelling) as a first-class tool in your product's AI features with Mastra's clean agent API

Background jobs: schedule Mastra agents to query Tome (AI Storytelling) on a cron and store results in your database automatically

Multi-agent systems: create specialist agents that collaborate using Tome (AI Storytelling) tools alongside other MCP servers

Example Prompts for Tome (AI Storytelling) in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

createMCPClient not exported

Install: npm install @mastra/mcp

Tome (AI Storytelling) + Mastra AI FAQ

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

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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