How to Use the Custify MCP in Google ADK

Q: Can Google ADK filter the available Custify tools?

You can restrict access using the toolnames filter. This prevents the agent from calling createperson if you only want it reading health metrics.

Feed Custify health scores into the Google ADK to analyze customer lifecycle data alongside your BigQuery records.

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Connect Custify MCP to Google ADK

Create your Vinkius account to connect Custify 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 Custify with Google ADK

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Process Segments in Google ADK

The `list_user_segments` tool feeds your customer success cohorts directly into Gemini's massive context window. Enterprise agents on Google Cloud can ingest thousands of profiles simultaneously without losing the thread. You cross-reference these segments with your existing BigQuery tables. The agent reads `list_people` and correlates product usage patterns against your internal revenue metrics to identify churn risks months in advance.

Update Records via MCP Server

Keeping your customer success platform current requires consistent event tracking. The `track_user_event` function pushes custom behavioral data from your application straight into the tracking system. Your Gemini agent handles the data orchestration natively. When a user completes an onboarding milestone, the system triggers `create_person` to formalize their profile and initiate the next lifecycle playbook.

Retrieve Deep Account Context

Context matters when evaluating enterprise accounts. Calling `get_company_details` pulls the complete history, health metrics, and lifecycle stage for any specific organization in your portfolio. The agent pairs this macro view with micro interactions. It executes `get_person_details` to understand exactly who the champions are inside that company, allowing Gemini to draft highly targeted retention emails.

Setup guide

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

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

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Common questions about Custify MCP in Google ADK

Install google-adk and configure a McpToolset with your Vinkius HTTP endpoint. Pass this toolset directly to your LlmAgent initialization.

You can restrict access using the tool_names filter. This prevents the agent from calling create_person if you only want it reading health metrics.

The integration feeds directly into models supporting 1M+ tokens. You can pull list_companies and analyze your entire customer base in a single prompt.

The framework supports both Stdio and HTTP transports natively. Vinkius provides a secure HTTP endpoint for immediate connection.

Your custom events, company details, and user profiles process inside an ephemeral V8 Isolate Sandbox. Vinkius enforces a zero-trust model, meaning nothing is stored after the execution finishes.

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