How to Use the Appier MCP in Google ADK

Q: Can Google ADK agents filter Appier tools?

You can use the toolnames filter to limit what the agent sees. This keeps the prompt clean and prevents the agent from calling functions you don't need.

Connect Appier marketing analytics to your Google ADK agent for big data reasoning.

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Connect Appier MCP to Google ADK

Create your Vinkius account to connect Appier 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 Appier with Google ADK

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Analyze Appier metrics in Google ADK

Your agent uses `get_campaign_analytics` to pull performance data into Gemini's long-context window. It correlates marketing spend with your existing BigQuery data. Everything stays inside your Google Cloud environment. The agent reads the metrics and provides a summary without you having to manually parse reports.

Audience segmentation via Google ADK

Run `list_segments` to see how your Appier groups look. Your agent compares these segments against your internal customer data. It makes smarter targeting suggestions by looking at the full picture. Your agent has the context to understand which audiences are actually converting.

Predictive modeling with Google ADK

Call `list_predictions` to get the latest AI-driven insights from Appier. Your agent parses these models to forecast future campaign success. It brings these predictions into your automated workflows. Your agent acts on the data immediately, adjusting your strategy based on the latest model output.

Setup guide

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

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Common questions about Appier MCP in Google ADK

Use the McpToolset to point your agent at the server. It integrates with your existing Google Cloud infrastructure, letting your LLM call Appier tools as if they were local functions.

You can use the tool_names filter to limit what the agent sees. This keeps the prompt clean and prevents the agent from calling functions you don't need.

It supports both Stdio and HTTP. Most setups use the HTTP transport for better reliability in cloud-hosted environments.

Gemini models can easily handle the large lists returned by `list_campaigns`. You get the full history of your marketing efforts in one go.

Your conversion events and audience lists are encrypted in transit. Access is limited to the token you provide, keeping your private marketing data isolated from other processes.

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