Tome (AI Storytelling) MCP Server for AutoGenGive AutoGen instant access to 5 tools to Add Page, Create Tome, Get Tome, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Tome (AI Storytelling) as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this MCP Server for AutoGen
The Tome (AI Storytelling) MCP Server for AutoGen is a standout in the Productivity category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="tome_ai_storytelling_agent",
tools=tools,
system_message=(
"You help users with Tome (AI Storytelling). "
"5 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Tome (AI Storytelling) tools. Connect 5 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen
When AutoGen 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 page on Tome (AI Storytelling)
Add a new page to an existing tome
Create tome on Tome (AI Storytelling)
Create a new tome in a workspace
Get tome on Tome (AI Storytelling)
Get detailed information about a specific tome
List tomes on Tome (AI Storytelling)
List tomes in a workspace
List workspaces on Tome (AI Storytelling)
List Tome workspaces
Connect Tome (AI Storytelling) to AutoGen via MCP
Follow these steps to wire Tome (AI Storytelling) into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Tome (AI Storytelling) MCP Server
AutoGen provides unique advantages when paired with Tome (AI Storytelling) through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Tome (AI Storytelling) tools to solve complex tasks
Role-based architecture lets you assign Tome (AI Storytelling) tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Tome (AI Storytelling) tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Tome (AI Storytelling) tool responses in an isolated environment
Tome (AI Storytelling) + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Tome (AI Storytelling) MCP Server delivers measurable value.
Collaborative analysis: one agent queries Tome (AI Storytelling) while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Tome (AI Storytelling), a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Tome (AI Storytelling) data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Tome (AI Storytelling) responses in a sandboxed execution environment
Example Prompts for Tome (AI Storytelling) in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Tome (AI Storytelling) to AutoGen through Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Tome (AI Storytelling) + AutoGen FAQ
Common questions about integrating Tome (AI Storytelling) MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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