Bring Storytelling
to Mastra AI
Learn how to connect Tome (AI Storytelling) to Mastra AI 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 SubscribersCompatible with every major AI agent and IDE
Gemini
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 a new page to an existing tome
Create a new tome in a workspace
Get detailed information about a specific tome
List tomes in a workspace
List Tome workspaces
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Tome (AI Storytelling) tool infrastructure. Connect 5 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Tome (AI Storytelling) without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Tome (AI Storytelling) tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Tome (AI Storytelling) in Mastra AI
Tome (AI Storytelling) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Tome (AI Storytelling) to Mastra AI 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.
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 |
Why teams choose Vinkius for Tome (AI Storytelling) in Mastra AI
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 Mastra AI 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.
* 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
How Vinkius secures
Tome (AI Storytelling) for Mastra AI
Every tool call from Mastra AI to the Tome (AI Storytelling) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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