Bring Interactive Video
to Pydantic AI
Learn how to connect Tolstoy to Pydantic AI and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Tolstoy MCP Server?
Connect your Tolstoy interactive video account to any AI agent and simplify how you build personalized video experiences, manage your media library, and track engagement through natural conversation.
What you can do
- Video Management — List all uploaded videos and programmatically import new content via external URLs.
- Interactive Projects — Query and manage your branching video flows and personalized interactive experiences.
- Performance Tracking — Retrieve detailed analytics including plays, conversion rates, and revenue impact for your videos.
- Media Organization — List and oversee video folders to keep your marketing assets structured.
- Event Monitoring — List configured webhooks to ensure your real-time video notifications are active.
- Engagement Insights — Fetch high-level summaries of how users are interacting with your video content.
How it works
1. Subscribe to this server
2. Enter your Tolstoy API Key (found in your account settings)
3. Start managing your interactive videos from Claude, Cursor, or any MCP client
Who is this for?
- Marketing Managers — quickly check video conversion rates and manage interactive flows via simple AI commands.
- Content Creators — upload new videos and monitor engagement metrics directly from the workspace.
- E-commerce Owners — track the revenue impact of your shoppable interactive videos via the AI assistant.
Built-in capabilities (6)
Get performance metrics
List video folders
List interactive video projects
List your Tolstoy videos
List configured webhooks
Upload a new video to Tolstoy
Why Pydantic AI?
Pydantic AI validates every Tolstoy tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Tolstoy integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Tolstoy connection logic from agent behavior for testable, maintainable code
Tolstoy in Pydantic AI
Tolstoy and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Tolstoy to Pydantic 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 | 3,400+ 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 Tolstoy in Pydantic AI
The Tolstoy 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 6 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic 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
Tolstoy for Pydantic AI
Every tool call from Pydantic AI to the Tolstoy 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 conversion rate for my interactive videos via AI?
Yes! Use the get_video_analytics tool. Your agent will retrieve detailed performance metrics, including plays and the percentage of users who converted through the interactive elements.
How do I import a new video into my library using the AI?
Use the upload_video action and provide the public URL of the video file. You can also specify an optional name for the video in your Tolstoy library.
Is it possible to list all my branching video projects?
Absolutely. Use the list_interactive_projects tool to retrieve a directory of all your interactive flows and branching video experiences.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Tolstoy MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai