How to Use the Tome (AI Storytelling) MCP in OpenAI Agents SDK

Q: Can I list all available Tome (AI Storytelling) workspaces using OpenAI Agents SDK?

Yep. The listworkspaces tool lets you see a full directory of every workspace associated with your account. It’s the first step if you need to figure out where a specific project lives.

Q: Does the MCP Server support retrieving specific Tome (AI Storytelling) details with OpenAI Agents SDK?

Absolutely. gettome pulls detailed information about a single presentation ID, letting your agent validate what it's working on before making changes.

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Connect Tome (AI Storytelling) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Tome (AI Storytelling) to OpenAI Agents SDK 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 OpenAI Agents SDK

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Manage Tome Workspaces via MCP Server

The `list_workspaces` tool shows every project workspace you have access to. Your agent can quickly check which collections of notes or presentations already exist for a given client. It’s a fast way to map out your entire content portfolio before writing a single line of code.

Create New AI Presentations with OpenAI Agents SDK

Need a fresh project? Use `create_tome` to generate an empty, ready-to-go presentation within the workspace. This gives your agent a clear starting point for gathering content. It handles all the initial setup so you don't waste time on manual creation steps.

Update Presentation Content Using MCP Server

The `add_page` tool lets your AI agent insert brand new pages into any existing presentation. This is how it incorporates research or updates findings directly into the story. It's ideal for agents that need to append supplementary data without disrupting the original flow.

Setup guide

Set up Tome (AI Storytelling) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Tome (AI Storytelling) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Tome (AI Storytelling) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Tome (AI Storytelling) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Tome (AI Storytelling) Agent",
            instructions="You have access to Tome (AI Storytelling) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Tome (AI Storytelling) MCP in OpenAI Agents SDK

Your agent calls the MCP Server tools directly. It doesn't need to know how the presentation is built; it just needs to execute `add_page` or `get_tome`. This keeps your agent logic clean and focused on the task at hand.

Yep. The `list_workspaces` tool lets you see a full directory of every workspace associated with your account. It’s the first step if you need to figure out where a specific project lives.

The MCP Server handles workspace metadata, including lists of workspaces and individual tome IDs. Your agent's actions are logged against these structural identifiers.

Absolutely. `get_tome` pulls detailed information about a single presentation ID, letting your agent validate what it's working on before making changes.

It manages structural metadata like workspace identifiers and tome IDs. It doesn't touch the actual content, just the containers for that content.

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