How to Use the Tome (AI Storytelling) MCP in Google ADK

Q: Can I list Tome (AI Storytelling) workspaces using Google ADK?

Yes. The listworkspaces tool makes it simple to query all available top-level project directories for your agent, regardless of where the data originates.

Q: If I use Tome (AI Storytelling) and Google ADK together, what's the process?

Your agent first queries the workspace list. Then it uses listtomes to pinpoint the exact presentation ID, ensuring all subsequent actions are targeted correctly.

Q: Does this MCP Server support creating new Tome (AI Storytelling) records with Google ADK?

It does. The createtome tool lets your agent generate a brand new tome ID, allowing you to track the origin of the story within your cloud infrastructure.

Build enterprise agents acting on data using Google ADK with Tome (AI Storytelling).

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Tome (AI Storytelling) MCP to Google ADK

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

GDPR Free for Subscribers

Setup Tome (AI Storytelling) with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

List all available project workspaces via MCP Server

The `list_workspaces` tool lets your agent quickly map out where all your content assets are stored. This is critical when working with massive enterprise datasets. It gives the agent a full view of the required scope before it starts drafting anything.

Get detailed information about any Tome (AI Storytelling)

Use `get_tome` to pull comprehensive details for a specific presentation. This allows your enterprise workflow to validate that a tome exists and has the necessary context. It’s essential for ensuring that subsequent actions aren't based on stale or non-existent data records.

Create a new Tome (AI Storytelling) record using Google ADK

When your agent needs to start a whole new presentation, `create_tome` handles the setup. This is how you initiate structured storytelling projects based on BigQuery insights. It provides an immediate, traceable reference ID for the new asset.

Setup guide

Set up Tome (AI Storytelling) MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Tome (AI Storytelling) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Tome (AI Storytelling)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Tome (AI Storytelling) tools via MCP.",
    tools=mcp_tools,
)

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Tome (AI Storytelling) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Tome (AI Storytelling) MCP in Google ADK

The MCP Server acts as a structured layer. Your agent uses Gemini models to decide *when* to call tools like `add_page` and then executes the action via the Google ADK framework.

Yes. The `list_workspaces` tool makes it simple to query all available top-level project directories for your agent, regardless of where the data originates.

Your agent first queries the workspace list. Then it uses `list_tomes` to pinpoint the exact presentation ID, ensuring all subsequent actions are targeted correctly.

It does. The `create_tome` tool lets your agent generate a brand new tome ID, allowing you to track the origin of the story within your cloud infrastructure.

The MCP Server manages structural metadata: workspace lists, tome IDs, and page additions. It handles references to content but not the raw source data itself.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript