How to Use the Tome (AI Storytelling) MCP in Mastra AI

Q: How do I guarantee that new Tome (AI Storytelling) content is created using Mastra AI?

You use createtome. Because you're in a workflow, if the call fails for any reason—like network blip or throttling—Mastra AI automatically retries it until it succeeds.

Q: Is there a way to manage multiple projects with Tome (AI Storytelling) and Mastra AI?

Yes. You can run loops in your workflow that call listtomes and then process the results one by one, ensuring every project gets processed correctly.

Build complex, resilient Tome (AI Storytelling) pipelines that handle failures with Mastra AI.

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Connect Tome (AI Storytelling) MCP to Mastra AI

Create your Vinkius account to connect Tome (AI Storytelling) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Tome (AI Storytelling) with Mastra AI

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Automated Content Generation with MCP Server

You can build workflows that guarantee content gets created. Use `create_tome` to start a new project, and then chain it immediately into calling `add_page`. Mastra AI handles retries if the initial creation fails.

Reliable Project Management with Mastra AI

Managing projects needs reliability. The agent can first use `list_tomes` to check which presentations exist, and then conditionally run a task based on whether the list is empty or not.

Guaranteed Data Retrieval with MCP Server

Getting Tome data shouldn't be flaky. The tool `get_tome` lets your workflow reliably fetch detailed project info, even if a previous step fails and needs to retry the read operation.

Setup guide

Set up Tome (AI Storytelling) MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Tome (AI Storytelling) tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "tome-ai-storytelling-mcp-client",
  servers: {
    "tome-ai-storytelling-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Tome (AI Storytelling) Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Tome (AI Storytelling) tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Tome (AI Storytelling) transactions"
);
console.log(result.text);

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Common questions about Tome (AI Storytelling) MCP in Mastra AI

You use `create_tome`. Because you're in a workflow, if the call fails for any reason—like network blip or throttling—Mastra AI automatically retries it until it succeeds.

Absolutely. You can sequence calls like listing workspaces, then getting a specific tome's data, all within one resilient workflow run.

Mastra AI handles failures gracefully. You can set up conditional branching; for instance, 'if `list_workspaces` fails, then notify admin and stop.' It's built for complex failure paths.

Yes. You can run loops in your workflow that call `list_tomes` and then process the results one by one, ensuring every project gets processed correctly.

This server touches Tome workspaces and individual tomes. These are the primary metadata containers that your workflow reads and modifies.

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