Tome (AI Storytelling) MCP Server for OpenAI Agents SDKGive OpenAI Agents 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 OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tome (AI Storytelling) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Tome (AI Storytelling) MCP Server for OpenAI Agents 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

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Tome (AI Storytelling) Assistant",
            instructions=(
                "You help users interact with Tome (AI Storytelling). "
                "You have access to 5 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Tome (AI Storytelling)"
        )
        print(result.final_output)

asyncio.run(main())

Fully ManagedVinkius Servers

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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.

The OpenAI Agents SDK auto-discovers all 5 tools from Tome (AI Storytelling) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tome (AI Storytelling), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 5 tools from Tome (AI Storytelling)

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

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

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Tome (AI Storytelling) + OpenAI Agents SDK Use Cases

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

Automated workflows: build agents that query Tome (AI Storytelling), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Tome (AI Storytelling), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Tome (AI Storytelling) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Tome (AI Storytelling) to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Tome (AI Storytelling) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Tome (AI Storytelling) + OpenAI Agents SDK FAQ

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

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

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