How to Use the HiDeliver MCP in Google ADK

Q: How do I configure the HiDeliver tools inside Google ADK?

Initialize an McpToolset with your Vinkius URL parameters. Pass that toolset directly to your LlmAgent to expose the communication endpoints.

Q: Can my Google ADK agent filter which HiDeliver tools are active?

You control the exact exposure. The toolnames filter lets you restrict access, allowing an agent to call listdeliveries while blocking it from triggering a new broadcast.

Q: How do I check my HiDeliver balance using Google ADK?

Tell your agent to run getaccountbalance. It evaluates your remaining tokens and reports back before you commit to a massive send.

Give your Google ADK enterprise agents direct access to HiDeliver to execute data-driven email campaigns.

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Connect HiDeliver MCP to Google ADK

Create your Vinkius account to connect HiDeliver 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 HiDeliver with Google ADK

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Send emails from your Google ADK agents

Agents trigger `create_delivery` to schedule fresh email pickups based on the massive datasets they process in Vertex AI. You feed a million tokens of user behavior into Gemini, and it decides exactly who needs a message right now. Controlling the flow happens through `update_delivery` to adjust active route parameters on the fly. If the agent detects a sudden shift in BigQuery trends, it pulls the plug using `cancel_delivery` or verifies the current state with `get_delivery` and `list_deliveries`.

Track campaign spending autonomously

The `list_transactions` tool lets your agent check global ledger events without leaving the Google Cloud ecosystem. It pulls raw billing data and cross-references it with your internal cost centers. Before authorizing a massive broadcast, Gemini queries `get_account_balance` to evaluate remaining cash thresholds. It then uses `get_profile` to confirm the authenticated account logic and `get_transaction` to audit isolated API key charges.

Zero-trust MCP Server execution

Connecting this MCP Server requires passing a `StreamableHttpServerParameters` object into your `McpToolset`. The Google framework handles the Stdio or HTTP transport natively, exposing the tools directly to your `LlmAgent`. Vinkius wraps the entire operation in a V8 Isolate Sandbox. You get a secure, ephemeral connection that executes your email logic and immediately shuts down.

Setup guide

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

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Common questions about HiDeliver MCP in Google ADK

Initialize an `McpToolset` with your Vinkius URL parameters. Pass that toolset directly to your `LlmAgent` to expose the communication endpoints.

You control the exact exposure. The `tool_names` filter lets you restrict access, allowing an agent to call `list_deliveries` while blocking it from triggering a new broadcast.

It works perfectly alongside it. Gemini analyzes your massive datasets first, then calls the specific delivery tools to execute the resulting strategy.

Tell your agent to run `get_account_balance`. It evaluates your remaining tokens and reports back before you commit to a massive send.

Your target audience identifiers and message payloads run through an ephemeral Vinkius sandbox. The connection operates on a strict zero-trust model, ensuring no marketing data persists after the API call completes.

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