Tolstoy MCP Server for Pydantic AIGive Pydantic AI instant access to 6 tools to Get Video Analytics, List Folders, List Interactive Projects, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Tolstoy through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Tolstoy app connector for Pydantic AI is a standout in the Ecommerce category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Tolstoy "
"(6 tools)."
),
)
result = await agent.run(
"What tools are available in Tolstoy?"
)
print(result.data)
asyncio.run(main())
* 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 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.
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.
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.
The Tolstoy MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Tolstoy tools available for Pydantic AI
When Pydantic AI connects to Tolstoy through Vinkius, your AI agent gets direct access to every tool listed below — spanning interactive-video, shoppable-video, video-marketing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get performance metrics
List video folders
List interactive video projects
List your Tolstoy videos
List configured webhooks
Upload a new video to Tolstoy
Connect Tolstoy to Pydantic AI via MCP
Follow these steps to wire Tolstoy into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Tolstoy MCP Server
Pydantic AI provides unique advantages when paired with Tolstoy through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Tolstoy integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Tolstoy connection logic from agent behavior for testable, maintainable code
Tolstoy + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Tolstoy MCP Server delivers measurable value.
Type-safe data pipelines: query Tolstoy with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Tolstoy tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Tolstoy and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Tolstoy responses and write comprehensive agent tests
Example Prompts for Tolstoy in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Tolstoy immediately.
"List all videos in my Tolstoy library."
"Show me the analytics summary for my videos."
"Upload this video to Tolstoy: 'https://vinkius.com/intro.mp4' with name 'Introduction v2'."
Troubleshooting Tolstoy MCP Server with Pydantic AI
Common issues when connecting Tolstoy to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiTolstoy + Pydantic AI FAQ
Common questions about integrating Tolstoy MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.