How to Use the Expansify AI MCP in Google ADK

Q: How do I configure Expansify AI with the Google ADK?

Install the package using pip install google-adk. Then, initialize McpToolset with your Vinkius HTTP URL to load the MCP Server tools.

Q: Can I limit which Expansify AI tools Google ADK can access?

Yes. You can use the optional toolnames filter when setting up McpToolset to expose only specific tools like analyzekeywordseo to your agent.

Q: How does Expansify AI handle long-context Gemini models in Google ADK?

Your agent can pull hundreds of generated drafts via listgeneratedcontent and feed them into Gemini's million-token window for high-level brand voice consistency checks.

Build enterprise marketing pipelines in Google ADK using Gemini's million-token context to scale SEO.

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Connect Expansify AI MCP to Google ADK

Create your Vinkius account to connect Expansify AI 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 Expansify AI with Google ADK

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Analyze search data using the Google ADK

The `analyze_keyword_seo` tool feeds search metrics directly into your Gemini-powered agent. This allows your agent to process large keyword files from BigQuery and find search opportunities instantly. By calling `list_tracked_keywords`, your agent pulls your entire historical SEO list into Gemini's long-context window. The Google ADK manages the connection to this MCP Server over standard HTTP transport layers without manual API wrapping.

Structure campaign data across enterprise channels

The `create_campaign` tool registers new marketing initiatives directly from your Google Cloud environment. Your agent reads business goals from cloud storage and maps them to new campaign records. The agent uses `list_campaigns` to audit active campaigns against your internal databases. This keeps your marketing roadmap aligned without manual data entry.

Generate copy at scale inside Google Cloud

The `generate_ai_content` tool produces marketing copy directly inside your enterprise workspace. Your agent uses Vertex AI to refine the output before storing it. Your agent calls `list_generated_content` to review all drafts before sending them to your publishing pipeline. Using this MCP Server ensures your automated marketing tools run in a secure, zero-trust sandbox.

Setup guide

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

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Common questions about Expansify AI MCP in Google ADK

Install the package using `pip install google-adk`. Then, initialize `McpToolset` with your Vinkius HTTP URL to load the MCP Server tools.

Yes. You can use the optional tool_names filter when setting up `McpToolset` to expose only specific tools like `analyze_keyword_seo` to your agent.

Your agent can pull hundreds of generated drafts via `list_generated_content` and feed them into Gemini's million-token window for high-level brand voice consistency checks.

Yes. Your Google ADK agent can query BigQuery for search terms, then pass those terms directly to `analyze_keyword_seo` to check ranking difficulty.

Your search terms and campaign configurations are protected by Google Cloud VPC integrations and this MCP Server's ephemeral runtime. No data persists in the sandbox once your execution session ends.

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