How to Use the CloudCard ID Photos MCP in Google ADK

Connect Google ADK to your CloudCard dashboard for automated identity management.

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Connect CloudCard ID Photos MCP to Google ADK

Create your Vinkius account to connect CloudCard ID Photos to Google ADK 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 Google ADK

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Streamline ID verification with Google ADK

Connect your Gemini-powered agents to your photo queue using `list_submitted_photos`. It pulls pending items directly into your Google Cloud agent logic. Once the agent reviews the image, use `approve_id_photo` to finalize the record. It turns a manual chore into an automated task.

Google ADK tools for cardholder management

Access your organization's data with `get_organization_settings` and `list_card_offices`. Your agent now understands your distribution network. It makes informed decisions based on real location data. You get a central hub for all your ID operations.

Verify API health in Google ADK

Use `check_api_health` to ensure your agent stays connected to the source. It prevents silent failures during long-running batch processes. If the connection drops, your agent knows immediately. It keeps your production pipeline reliable and predictable.

Setup guide

Set up CloudCard ID Photos MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with CloudCard ID Photos tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="CloudCard ID Photos_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CloudCard ID Photos tools via MCP.",
    tools=mcp_tools,
)

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Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about CloudCard ID Photos MCP in Google ADK

Use the McpToolset class in your Python setup. Just point it at the server URL and your agent starts calling the CloudCard tools.

Yes, all twelve tools are accessible. You can filter them using the tool_names argument if you want to limit what your agent can do.

You can pull data using the MCP tools and pipe it into your BigQuery workflows. It bridges the gap between your ID photos and your cloud data.

All traffic is routed through a zero-trust sandbox. The server only exposes what you define, keeping your private cardholder details isolated.

We enforce strict auth protocols for every request. Only your authorized agent gets access to the cardholder names and photos you permit.

Use it with your favorite AI tools

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

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