How to Use the 4YouSee MCP in Pydantic AI

Q: How do I initialize 4YouSee inside Pydantic AI?

Install pydantic-ai-slimmcp. Create an MCPToolset pointing to your HTTP endpoint and pass it to your Agent's toolsets array.

Type-safe digital signage control for Pydantic AI. Catch bad media formats and offline players before they break your application.

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Connect 4YouSee MCP to Pydantic AI

Create your Vinkius account to connect 4YouSee to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup 4YouSee with Pydantic AI

Ask AI about this MCP

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Claude

Perplexity

Enforce strict schemas on player data

When your agent calls `list_players`, Pydantic AI immediately validates the response against your defined Python models to prevent silent API failures. Autonomous systems break when underlying data structures change unexpectedly. If a screen drops a crucial field in its telemetry, the system fails loudly rather than hallucinating a status. You can safely run `get_player` knowing the diagnostic data matches your exact structural requirements.

Audit signage assets via MCP Server

Your agent pulls the current inventory using `list_medias` and runs it through strict validation rules to catch bad formatting. Content management gets messy when file names and formats drift from your standards. Any video or image missing required metadata throws an instant validation error. You fix the underlying data issue instead of letting a bad asset crash your display logic.

Validate platform users and layouts

You can point your Pydantic AI agent at `list_users` to ensure every active account belongs to an approved group. Access control requires absolute precision. The same strict typing applies to your content layouts. Calling `list_templates` guarantees your agent only works with news feeds and structures that actually exist on the platform.

Setup guide

Set up 4YouSee MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "4yousee-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to 4YouSee tools.",
)

result = await agent.run("List recent 4YouSee transactions")
print(result.output)

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Common questions about 4YouSee MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]`. Create an `MCPToolset` pointing to your HTTP endpoint and pass it to your Agent's `toolsets` array.

The Vinkius endpoint provides a Streamable HTTP connection. Pydantic AI handles this natively through the unified toolset class without requiring deprecated transport wrappers.

Yes. The framework is entirely model-agnostic. You can route `list_medias` data to Anthropic, OpenAI, or a local Llama model depending on your specific needs.

Your application throws a runtime validation error. The MCP integration refuses to pass malformed data to the LLM, preventing downstream logic failures.

Vinkius handles all requests in a zero-trust environment. The template names, user groups, and player IDs are routed securely to your client and never logged by our systems.

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