Tome (AI Storytelling) MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect Tome (AI Storytelling) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

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The Tome (AI Storytelling) MCP Server for LangChain 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

Claude

ChatGPT

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Gemini

Windsurf

VS Code

JetBrains

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+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "tome-ai-storytelling": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Tome (AI Storytelling), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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

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.

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.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 5 tools from Tome (AI Storytelling) via MCP

Why Use LangChain with the Tome (AI Storytelling) MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Tome (AI Storytelling) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Tome (AI Storytelling) queries for multi-turn workflows

Tome (AI Storytelling) + LangChain Use Cases

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

RAG with live data: combine Tome (AI Storytelling) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Tome (AI Storytelling), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Tome (AI Storytelling) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Tome (AI Storytelling) tool call, measure latency, and optimize your agent's performance

Example Prompts for Tome (AI Storytelling) in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Tome (AI Storytelling) + LangChain FAQ

Common questions about integrating Tome (AI Storytelling) MCP Server with LangChain.

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.