How to Use the Customers.ai MCP in Google ADK

Q: Can I filter which Customers.ai tools Google ADK uses?

You can use the toolnames filter to limit what the agent can do. This is helpful if you want to restrict the agent to read-only access for certain tasks.

Sync Customers.ai with Google ADK to run large-scale lead identification and messaging on your Google Cloud infrastructure.

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Connect Customers.ai MCP to Google ADK

Create your Vinkius account to connect Customers.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 Customers.ai with Google ADK

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Target leads using Google ADK tools

Your agent can parse massive lists of website visitors via `list_xray_leads`. Because you are running this on Google Cloud, you can process these lists against your BigQuery data in a single pass. After identifying a high-value lead, trigger `send_rich_message` to start the conversation. The agent maintains the thread, keeping your outreach consistent across sessions.

Update lead profiles within Google ADK

Tagging contacts happens automatically when you use `add_tag_to_contact`. This lets your agent categorize leads based on their browsing behavior without you writing extra boilerplate. Need to change an attribute? Call `update_contact_attributes` to push new info into your CRM. It keeps your lead data updated in real-time as your agent learns more about the user.

Retrieve customer data for Google ADK agents

Fetch deep profile details using `get_contact` to inform your agent's next move. It provides the necessary context for your model to handle complex queries about specific leads. Use `search_contacts` to find someone quickly if you only have partial information. The server returns the record, which your agent then uses to execute a tailored response.

Setup guide

Set up Customers.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 Customers.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="Customers.ai_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Customers.ai 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 Customers.ai. 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.

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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 Customers.ai MCP in Google ADK

Use the McpToolset class in your Python setup. Pass your server URL, and your agent will gain access to all eight tools for lead management.

Yes. Gemini models have massive context windows that handle the data returned by these tools easily. You can pull entire contact histories without hitting token limits.

Vinkius isolates your server in a zero-trust sandbox. Your data is never shared with third parties; it only travels between your agent and the Customers.ai API via your encrypted token.

You can use the tool_names filter to limit what the agent can do. This is helpful if you want to restrict the agent to read-only access for certain tasks.

It operates in an ephemeral environment that discards sessions after use. The server specifically handles contact names, email addresses, and interaction history through a secure, authenticated bridge.

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