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How to Use the Cardly MCP in Google ADK

Connect BigQuery customer data to physical mail using Cardly and Google ADK.

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Google ADK

Connect Cardly MCP to Google ADK

Create your Vinkius account to connect Cardly 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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Sync BigQuery records to Cardly MCP Server

Triggering `find_contact` lets your Gemini agent cross-reference email addresses from your BigQuery data warehouse with existing Cardly recipients. The massive 1M+ token context window means you can dump thousands of customer records into the prompt at once. It parses the data and figures out who needs a physical card. When a customer is missing, the agent fires `add_contact_to_list` to create a new entry. You bridge the gap between your Google Cloud infrastructure and physical mail fulfillment without writing custom API wrappers.

Trigger physical mail from Vertex AI

Running `place_greeting_card_order` turns a digital event into a physical greeting card arriving in a mailbox. Your Google ADK agent monitors customer milestones and generates personalized messages using Gemini's reasoning capabilities. You can restrict the agent to `preview_greeting_card` during testing. This keeps your billing intact while you verify the agent formats addresses correctly. The `McpToolset` class lets you filter exactly which operations the model can touch.

Monitor integration health autonomously

Polling `get_account_info` retrieves your current balance and account status. You build a monitoring agent that checks if you have enough funds before launching a massive holiday card campaign. If something breaks, `verify_api_connection` confirms whether the API key is still valid or if the network dropped. Enterprise agents diagnose their own connection issues before alerting your operations team.

Setup guide

Set up Cardly 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Cardly 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="Cardly_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cardly tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cardly. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Cardly MCP in Google ADK

Pass your Vinkius endpoint to `StreamableHttpServerParameters`. Wrap that in `McpToolset` and hand it to your `LlmAgent` constructor.
It calls the search tool to find specific people by email. You can feed those results directly back into BigQuery for analysis.
Yes. Use the `tool_names` parameter when setting up the toolset. This prevents a rogue agent from placing orders when it should only be reading data.
The framework supports both Stdio and HTTP transports. For Vinkius-hosted endpoints, you will use the HTTP configuration.
The server processes real street addresses and recipient names. Vinkius routes this traffic through a zero-trust architecture, meaning no persistent data remains on the integration layer after the card is ordered.

Start using the Cardly MCP today

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