How to Use the CloudCard ID Photos MCP in OpenAI Agents SDK

Q: Can CloudCard ID Photos manage my records in OpenAI Agents SDK?

Absolutely. You can call registernewcardholder or listsubmittedphotos to keep your internal systems in sync with the CloudCard database.

Manage ID photo approvals and cardholder records directly inside your OpenAI Agents SDK pipeline.

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Connect CloudCard ID Photos MCP to OpenAI Agents SDK

Create your Vinkius account to connect CloudCard ID Photos to OpenAI Agents SDK 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 OpenAI Agents SDK

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Perplexity

Automate ID approvals in OpenAI Agents SDK

Stop manual clicks for every submission. Use `approve_id_photo` to clear valid images or `deny_id_photo` to send rejection feedback back to the cardholder. Your agent handles the logic while the SDK guards your production environment. It keeps your workflow tight without leaving your code editor.

Sync cardholder data via OpenAI Agents SDK

Keep your records current without jumping between tabs. Use `list_cardholders` and `get_cardholder_details` to feed real-time user info into your agent's context. This MCP Server provides the raw data your agent needs to make decisions. It turns your database into a conversational partner.

Configure photo standards for OpenAI Agents SDK

Get exact requirements for your users using `list_photo_requirements`. It ensures every image uploaded adheres to your organization's specific format rules. Your agent checks these rules before acting. It saves you from processing bad uploads or dealing with rejected submissions later.

Setup guide

Set up CloudCard ID Photos MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all CloudCard ID Photos tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives CloudCard ID Photos tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CloudCard ID Photos tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="CloudCard ID Photos Agent",
            instructions="You have access to CloudCard ID Photos tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about CloudCard ID Photos MCP in OpenAI Agents SDK

You pass the server URL into an MCPServerStreamableHttp instance within your script. The SDK handles discovery, so your agent sees all twelve tools immediately.

Yes, every tool call is caught by the SDK's validation layer. You can set constraints on what the agent is allowed to approve or deny.

Absolutely. You can call `register_new_cardholder` or `list_submitted_photos` to keep your internal systems in sync with the CloudCard database.

Vinkius manages your connection through an ephemeral sandbox. Your agent only touches the specific cardholder data you request via the provided endpoint token.

Your credentials never leave the Vinkius environment. All communication happens over encrypted channels with scoped access to your specific API user.

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