How to Use the CloudCard ID Photos MCP in Pydantic AI

Strictly typed ID photo management for Pydantic AI applications.

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Connect CloudCard ID Photos MCP to Pydantic AI

Create your Vinkius account to connect CloudCard ID Photos 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 CloudCard ID Photos with Pydantic AI

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Type-safe photo handling for Pydantic AI

Every response from `list_photo_requirements` is validated against your Pydantic models. You get runtime safety for every field returned by the API. If the data format shifts, your agent fails fast. This stops bad data from corrupting your records.

Register users using Pydantic AI

Use `register_new_cardholder` to add people to your system. The tool forces the input to match your required schema before the request hits the server. It keeps your database clean. You define the types, and the server enforces them.

Manage webhooks with Pydantic AI

Query your current setup using `list_configured_webhooks`. It lets your agent verify that events are firing correctly. You gain visibility into your integration health. No more guessing if the server is talking to your external services.

Setup guide

Set up CloudCard ID Photos 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": {
        "cloudcard-id-photos-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent CloudCard ID Photos transactions")
print(result.output)

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Common questions about CloudCard ID Photos MCP in Pydantic AI

Install the slim MCP package and initialize the MCPToolset. Your agent will validate every response from the server against your defined schema.

Yes, every piece of data is checked at runtime. If the API returns unexpected values, the agent stops before processing the record.

This server is built for high-reliability systems. It ensures your agent doesn't hallucinate fields or accept invalid photo submissions.

The server runs in an ephemeral Vinkius sandbox. Your data remains segmented and is only accessible via your unique endpoint token.

We use encrypted transport and mandatory authentication. Your cardholder names and IDs never persist in the sandbox, ensuring total data isolation.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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