How to Use the Custify MCP in Google ADK

Q: Can Google ADK create new profiles in Custify?

Yes, the server includes the createcustomerprofile tool. Your Gemini agent can extract user details from incoming emails or Vertex AI pipelines and push them directly into the CRM database.

Q: Can I limit which tools the agent can access?

You can use the toolnames filter when setting up your toolset. This prevents the agent from calling specific endpoints if you want to keep it strictly read-only.

Give your Google ADK agents direct access to Custify health scores via this MCP integration.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

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.

GDPR Free for Subscribers

Setup Custify with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Merge Custify data via Google ADK

Enterprise agents on Google Cloud need context from both your data warehouse and your customer success platform. This MCP Server lets your LlmAgent pull real-time health scores via `get_customer_details` and immediately compare them against usage logs stored in BigQuery. Gemini's massive context window means you can dump the entire output of `list_companies` and `list_customers` straight into the prompt. The model can process thousands of account records at once to identify churn patterns that traditional dashboards miss.

Research complex accounts via Gemini

Investigating a massive enterprise account usually requires clicking through dozens of tabs. Your Google ADK agent can hit this MCP server to grab organizational metrics via `get_company_details`, then iterate through `list_people` to build a complete stakeholder map in seconds. You can restrict exactly what the agent sees using the tool_names filter in your McpToolset configuration. If you only want the agent reading metrics, expose `list_customer_kpis` and hide the mutation tools entirely.

Drive customer success tasks autonomously

Finding out what needs to be done shouldn't require manual review. The agent uses `list_customer_success_tasks` to pull the active queue, checking priority levels and assigned owners across your entire team. When a task requires context, the agent can run `list_customer_notes` to read the historical relationship data. It then synthesizes those internal communications using Vertex AI to draft personalized check-in emails for your account managers.

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,
)

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 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.

Why Choose Vinkius

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

Connect Custify now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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 Custify MCP in Google ADK

Install google-adk and initialize an McpToolset using the StreamableHttpServerParameters class. Pass this toolset into your LlmAgent configuration. The transport handles the Vinkius endpoint connection automatically.

Yes, the server includes the `create_customer_profile` tool. Your Gemini agent can extract user details from incoming emails or Vertex AI pipelines and push them directly into the CRM database.

The underlying HTTP transport manages the connection to the Vinkius endpoint, but you should still implement retry logic in your agent loop. Vinkius handles the actual authentication and proxying to the native API.

You can use the tool_names filter when setting up your toolset. This prevents the agent from calling specific endpoints if you want to keep it strictly read-only.

The MCP architecture ensures your BigQuery credentials never leave your Google Cloud environment. The server only processes the specific customer emails, health scores, and task descriptions you explicitly request. Every request runs through an ephemeral zero-trust sandbox.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript