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

Q: How does Tome (AI Storytelling) integrate with Cursor's agent mode?

The MCP Server allows your AI client to call tools like listworkspaces directly from your code. The results are passed as live variables, letting you write code that uses real data instead of placeholders.

Q: Can I create a new Tome (AI Storytelling) using Cursor?

Yes, you call createtome and pass the resulting identifier into your code. It's perfect for generating unique IDs that subsequent functions can rely on.

Q: Is it possible to add pages programmatically with Tome (AI Storytelling) in Cursor?

You use addpage and pass the content payload directly into your function. This makes building dynamic, data-driven stories within your application much simpler.

Q: How do I check project status with Tome (AI Storytelling) in Cursor?

You can use listtomes to see all the presentations that exist in a given workspace. This confirms which stories are ready for your code to consume.

Inject dynamic presentation data into your code using Cursor’s agent mode.

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Connect Tome (AI Storytelling) MCP to Cursor

Create your Vinkius account to connect Tome (AI Storytelling) to Cursor 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 Cursor

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See all available workspaces.

Before writing any API calls, check what's available. Use `list_workspaces` to see every project folder you can work with right now. This gives your code live context on where the data comes from. Knowing the scope of the workspace helps you write targeted functions that don't rely on hardcoded paths.

Get Tome details for specific development needs.

Need to verify an ID or understand a document’s structure? Call `get_tome`. The agent receives all the detailed JSON data it needs, allowing you to use that live context directly in your functions. This is critical: instead of using mock data for testing, your code consumes real API responses from the MCP Server.

Generate new stories programmatically.

Start a fresh presentation right inside your codebase with `create_tome`. This tool ensures that any function calling it immediately receives a valid Tome identifier. You can then build subsequent functions around that ID. If you need to append content later, use `add_page` to pass the new data into the existing structure.

Setup guide

Set up Tome (AI Storytelling) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Tome (AI Storytelling) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Tome (AI Storytelling) transactions." If the MCP tools are loaded correctly, Cursor will call the Tome (AI Storytelling) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "tome-ai-storytelling-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tome. 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 Tome (AI Storytelling) MCP in Cursor

The MCP Server allows your AI client to call tools like `list_workspaces` directly from your code. The results are passed as live variables, letting you write code that uses real data instead of placeholders.

The server manages Workspaces and Tones metadata. Your agent reads these structures to build the context for your application's API calls. You never have to hardcode this information.

Yes, you call `create_tome` and pass the resulting identifier into your code. It's perfect for generating unique IDs that subsequent functions can rely on.

You use `add_page` and pass the content payload directly into your function. This makes building dynamic, data-driven stories within your application much simpler.

You can use `list_tomes` to see all the presentations that exist in a given workspace. This confirms which stories are ready for your code to consume.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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