LangChainFramework

Tome (AI Storytelling) MCP Server

Bring Storytelling
to LangChain

Name: Tome (AI Storytelling) MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Tome (AI Storytelling) to LangChain and start using 5 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Add PageCreate TomeGet TomeList TomesList Workspaces

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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

How it works

Subscribe to this server
Enter your Tome API Key
Start generating presentations from Claude, Cursor, or any MCP-compatible client

No more manual slide creation. Your AI acts as a creative director, building out your vision page by page.

Who is this for?

Content Creators — instantly scaffold stories and presentations without leaving your AI chat
Marketing Teams — manage workspace assets and create new campaign decks via automation
Product Managers — document features and roadmaps by generating tomes directly from project specs

Built-in capabilities (5)

add_page

Add a new page to an existing tome

create_tome

Create a new tome in a workspace

get_tome

Get detailed information about a specific tome

list_tomes

List tomes in a workspace

list_workspaces

List Tome workspaces

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Tome (AI Storytelling) through native MCP adapters. Connect 5 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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The largest ecosystem of integrations, chains, and agents. combine Tome (AI Storytelling) MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Tome (AI Storytelling) queries for multi-turn workflows

See it in action

Tome (AI Storytelling) in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Tome (AI Storytelling) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Tome (AI Storytelling) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for LangChain →

Enterprise Security

Why teams choose Vinkius for Tome (AI Storytelling) in LangChain

The Tome (AI Storytelling) 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. All 5 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Tome (AI Storytelling) details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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

The Vinkius Advantage

How Vinkius secures
Tome (AI Storytelling) for LangChain

Every tool call from LangChain to the Tome (AI Storytelling) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I see the full structure of a specific presentation including its pages?

Yes! Use the get_tome tool with the specific Tome ID. Your agent will retrieve detailed information about the tome, including its page list and metadata.

How do I add a new slide or page to an existing project?

Simply use the add_page action. Provide the tome_id and the title for your new page, and the agent will insert it into your presentation immediately.

Can I list all the presentations I have in a specific workspace?

Yes, use the list_tomes tool. By providing the workspace_id, the agent will return a list of all tomes available in that specific environment.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.