How to Use the QuickReply.ai MCP in Google ADK

Q: Can I limit the tools available to my Google ADK agent?

Yes. You can use the toolnames filter to restrict your agent to only the specific messaging functions you want it to perform.

Q: Does this support session messaging for Google ADK users?

It does. Use sendsessionmessage for free-form replies that don't require pre-approved templates.

Connect your BigQuery data to WhatsApp using Google ADK. Your agents now trigger marketing flows based on real-time warehouse insights.

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Connect QuickReply.ai MCP to Google ADK

Create your Vinkius account to connect QuickReply.ai to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup QuickReply.ai with Google ADK

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Scale WhatsApp marketing with Google ADK

Directly execute your marketing strategy by calling `trigger_journey_event` from your Gemini-powered agent. It connects your warehouse data to customer touchpoints. This workflow allows your agent to identify high-value segments in BigQuery and immediately trigger the appropriate communication path.

Send templates via Google ADK workflows

Use `send_template` to deliver pre-approved WhatsApp content. Your agent manages the template selection logic based on the user context it gathers from your cloud environment. This keeps your communication consistent and authorized. It replaces manual template management with automated, code-driven execution.

Analyze campaign metrics in your cloud

Run `fetch_campaign_stats` to pull data directly into your analytical pipelines. It gives you immediate visibility into how your messages land with users. Note that this tool sunset date is June 2026. Plan your migration to event-based tracking while you gather these baseline metrics.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by QuickReply.ai. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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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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60%

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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about QuickReply.ai MCP in Google ADK

It integrates via the McpToolset class. You simply point your agent at the Vinkius server endpoint to start calling WhatsApp tools.

It provides a direct way to act on your BigQuery insights. You move from data analysis to customer action in a single step.

Yes. You can use the tool_names filter to restrict your agent to only the specific messaging functions you want it to perform.

It does. Use `send_session_message` for free-form replies that don't require pre-approved templates.

It uses ephemeral authentication tokens. Your WhatsApp credentials are never exposed, and all requests are handled through an isolated Vinkius sandbox.

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