How to Use the Keap MCP in Google ADK

Q: How does Google ADK use Keap data in long-context models?

Gemini models load thousands of records from listopportunities directly into memory. This lets the agent find deep patterns across your entire sales history.

Q: Can I use this MCP Server to automate customer tagging?

Yes. Your agent can call applytagtocontact to categorize leads based on their behavior or purchase history.

Run enterprise Gemini agents on Google ADK that analyze your Keap sales data and tag contacts based on BigQuery insights.

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Connect Keap MCP to Google ADK

Create your Vinkius account to connect Keap 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 Keap with Google ADK

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Analyze Sales Pipelines with Google ADK

The `list_opportunities` tool pulls active deal records directly into your Gemini agent's long-context window. This MCP Server tool allows your agent to cross-reference ongoing deals with your enterprise data warehouse. The agent processes thousands of sales stages simultaneously. It maps these deals against marketing campaigns retrieved via `list_campaigns` to find which channels close fastest.

Sync CRM Contacts with BigQuery Datasets

The `list_contacts` tool searches your entire customer database to sync records with your cloud data warehouse. Your Google ADK agent pulls contact details and updates them without manual exports. When it finds missing leads, it uses `create_contact` to write them back to your CRM. This keeps your marketing lists and analytics databases perfectly aligned.

Audit Billing Records via Google Cloud

The `list_invoices` tool retrieves billing histories for direct analysis inside your enterprise workflow. Your agent checks payment statuses and matches them against ecommerce transactions. It uses `list_orders` to verify purchases and `get_business_profile` to confirm company details. This gives your finance agents a clear picture of outstanding balances.

Setup guide

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

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Common questions about Keap MCP in Google ADK

Initialize the toolset with the Vinkius HTTP URL and pass it to your LlmAgent. Your Gemini models will detect the tools immediately.

Yes. You can use the optional tool name filter to expose only specific tools like `list_contacts` or `list_tags` to your agent.

Gemini models load thousands of records from `list_opportunities` directly into memory. This lets the agent find deep patterns across your entire sales history.

Yes. Your agent can call `apply_tag_to_contact` to categorize leads based on their behavior or purchase history.

Yes. Vinkius uses a zero-trust, ephemeral V8 sandbox to run this MCP Server. Your sales opportunities, contact lists, and invoices are processed in memory and never persisted.

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