Bring Product Demos
to Pydantic AI
Learn how to connect Storylane to Pydantic AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Storylane MCP Server?
The Storylane MCP server connects your AI agent directly to your demo infrastructure. Query demo completion rates, create personalized demo links for prospects, and sync engagement data natively.
Built-in capabilities (12)
Generate a new trackable demo link
Get metadata and status for a specific demo
Get engagement metrics for a specific demo
Get information about the current authenticated user
Get detailed information for a specific viewer session
Retrieve metadata about the current Storylane workspace
Retrieve all active links associated with a specific demo
List all published demos in the workspace
List granular session analytics for demo viewers
List teams within the workspace
List all users and their roles in the workspace
Update settings for an existing demo link
Why Pydantic AI?
Pydantic AI validates every Storylane tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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 Storylane 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 Storylane connection logic from agent behavior for testable, maintainable code
Storylane in Pydantic AI
Storylane and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Storylane 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 Storylane in Pydantic AI
The Storylane 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 12 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
Storylane for Pydantic AI
Every tool call from Pydantic AI to the Storylane MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I generate a personalized demo link?
Yes! Provide the prospect's name and the base demo ID, and the agent will return a uniquely tracked URL.
How do I view the analytics for a specific demo?
You can ask the AI to summarize views, completion rates, and the most clicked features of any published demo.
Is it possible to list all active demo flows?
Yes, querying for active demos will return their titles, IDs, and current engagement scores.
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 Storylane MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai