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

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Uscreen 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 Uscreen app connector for Pydantic AI is a standout in the Ecommerce 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 Uscreen "
            "(10 tools)."
        ),
    )

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

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

Connect your Uscreen account to any AI agent and manage your video membership business.

Pydantic AI validates every Uscreen 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

  • Customer Management — List all customers and view detailed profiles
  • Content Library — Browse and inspect videos and courses
  • Collection Organization — List and view content collections
  • Subscription Plans — View all membership plans and pricing
  • Product Catalog — Browse available products for purchase
  • Revenue Tracking — List all payment transactions

The Uscreen 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 Uscreen tools available for Pydantic AI

When Pydantic AI connects to Uscreen through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-streaming, membership-site, subscription-billing, 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_uscreen_status

Verify API connectivity

get_collection

Get collection details

get_content

Get content details

get_customer

Get customer details

list_collections

List collections

list_content

List all content

list_customers

List all customers

list_products

List products

list_subscriptions

List subscriptions

list_transactions

List transactions

Connect Uscreen to Pydantic AI via MCP

Follow these steps to wire Uscreen 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 Uscreen with type-safe schemas

Why Use Pydantic AI with the Uscreen MCP Server

Pydantic AI provides unique advantages when paired with Uscreen 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 Uscreen 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 Uscreen connection logic from agent behavior for testable, maintainable code

Uscreen + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Uscreen in Pydantic AI

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

01

"List all my Uscreen customers."

02

"Show all subscription plans."

03

"List all payment transactions."

Troubleshooting Uscreen MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Uscreen + Pydantic AI FAQ

Common questions about integrating Uscreen 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 Uscreen MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.