How to Use the AMcards MCP in Google ADK

Q: How do I connect AMcards to my Google ADK agent?

Instantiate an McpToolset with the AMcards server URL and pass it to your LlmAgent's tools parameter. The agent will then have access to all the AMcards functions.

Q: Is it possible to restrict my Google ADK agent from sending AMcards?

Absolutely. When you configure the McpToolset, use the toolnames filter to provide an explicit list of allowed tools. You can grant access to getcardsendinghistory but exclude sendgreetingcard.

Q: Can I run an AMcards drip campaign from an agent built with Google ADK?

Yes. Once connected, your agent can call the triggerdripcampaign tool with a user's ID. It can also use listdripcampaigns to see what automated campaigns are available first.

Connect your Google ADK agent to AMcards. Let Gemini act on your BigQuery data to send physical notes and manage campaigns.

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Connect AMcards MCP to Google ADK

Create your Vinkius account to connect AMcards 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 AMcards with Google ADK

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From BigQuery to Your Customer's Mailbox

This MCP Server turns your Google ADK agent into a physical outreach tool. An agent can pull a list of contacts from a BigQuery table, then loop through them to `send_greeting_card` via AMcards. It bridges your cloud data and the real world. Gemini's long-context window is a great fit here. You can feed your agent extensive customer history, and it can reason about the best time to `trigger_drip_campaign` for a specific user segment. The agent isn't just executing commands; it's making decisions based on the Google Cloud data you already have.

Build Enterprise Agents on Google Cloud

The AMcards tools are exposed to your agent through the `McpToolset`. This gives your Gemini agent the ability to `list_drip_campaigns` and `get_card_sending_history` directly. You're not just sending one-off cards; you're building an automated system on infrastructure you already trust. You can filter which tools are exposed using the `tool_names` parameter during setup. For an agent designed only to report on past activity, you could expose `get_card_sending_history` but block `send_greeting_card`. This lets you build specialized agents that stick to their defined roles within your Google Cloud project.

Reliable MCP Server Operations

Before kicking off a large campaign, your agent can use `check_api_health` to make sure the AMcards API is responsive. This is a simple way to build more robust agents that can handle external service issues gracefully. It's a basic check for any serious enterprise workflow. The Google ADK framework integrates with Vertex AI, giving you a unified place to monitor your agent's actions. When your agent calls `list_configured_webhooks` or any other AMcards tool, you can trace that activity alongside its other operations within the Google Cloud ecosystem.

Setup guide

Set up AMcards 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 AMcards 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="AMcards_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AMcards tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AMcards. 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 AMcards MCP in Google ADK

Instantiate an `McpToolset` with the AMcards server URL and pass it to your `LlmAgent`'s `tools` parameter. The agent will then have access to all the AMcards functions.

Yes. You provide the context and the goal, and the Gemini model can use the `list_card_templates` tool to see available options and then call `send_greeting_card` with its chosen template and message.

Absolutely. When you configure the `McpToolset`, use the `tool_names` filter to provide an explicit list of allowed tools. You can grant access to `get_card_sending_history` but exclude `send_greeting_card`.

Yes. Once connected, your agent can call the `trigger_drip_campaign` tool with a user's ID. It can also use `list_drip_campaigns` to see what automated campaigns are available first.

The server only processes the recipient's name, address, and the card message you provide to the `send_greeting_card` tool. Vinkius isolates each MCP Server in a sandboxed environment, and all communication between your agent and the server is encrypted. Your data isn't co-mingled or persisted beyond the transaction.

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