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Teyuto MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Check Teyuto Status, Get Collection, Get User, and more

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Teyuto 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 Teyuto app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 Teyuto "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Teyuto?"
    )
    print(result.data)

asyncio.run(main())
Teyuto
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 Teyuto MCP Server

Connect your Teyuto account to any AI agent and manage your video platform.

Pydantic AI validates every Teyuto tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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 and inspect videos with full metadata
  • Video Analytics — View watch time, view counts, and engagement metrics
  • Collection Management — List and inspect video collections
  • User Management — List users and view detailed profiles
  • Channel Access — Browse available channels
  • Subscription Plans — View plan pricing and features

The Teyuto MCP Server exposes 10 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 10 Teyuto tools available for Pydantic AI

When Pydantic AI connects to Teyuto through Vinkius, your AI agent gets direct access to every tool listed below — spanning teyuto, vod-api, video-streaming-automation, 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.

check_teyuto_status

Verify API connectivity

get_collection

Get collection details

get_user

Get user details

get_video

Get video details

get_video_analytics

Get video analytics

list_channels

List channels

list_collections

List collections

list_subscriptions

List subscriptions

list_users

List all users

list_videos

List all videos

Connect Teyuto to Pydantic AI via MCP

Follow these steps to wire Teyuto into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from Teyuto with type-safe schemas

Why Use Pydantic AI with the Teyuto MCP Server

Pydantic AI provides unique advantages when paired with Teyuto through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Teyuto integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Teyuto connection logic from agent behavior for testable, maintainable code

Teyuto + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Teyuto MCP Server delivers measurable value.

01

Type-safe data pipelines: query Teyuto with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Teyuto tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Teyuto and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Teyuto responses and write comprehensive agent tests

Example Prompts for Teyuto in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Teyuto immediately.

01

"List all my videos."

02

"Show analytics for video vid_001."

03

"List all video collections."

Troubleshooting Teyuto MCP Server with Pydantic AI

Common issues when connecting Teyuto to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Teyuto + Pydantic AI FAQ

Common questions about integrating Teyuto MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Teyuto MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.