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How to Use the Clientjoy MCP in Google ADK

Feed Clientjoy MCP Server data into Google ADK to build enterprise Gemini agents that act on your sales pipeline.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Clientjoy MCP to Google ADK

Create your Vinkius account to connect Clientjoy 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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Massive context for Clientjoy records

Gemini shines when you give it massive amounts of data. Connect the Clientjoy MCP Server, and your agent can dump hundreds of records from `list_customers` straight into its 1M+ token window. It reads the whole history at once. Cross-referencing becomes trivial. The agent pulls your BigQuery warehouse data and compares it against active prospects from `list_leads`. You spot churn risks before they happen.

Google ADK invoice analysis

Enterprise billing gets complicated fast. Your LlmAgent uses `list_billing_invoices` to grab payment histories. It then matches those records against Vertex AI models trained on your specific financial metrics. Need to quote a complex project? The agent checks `list_service_items` for current rates. It drafts the paperwork based on historical patterns found in `list_sales_proposals`.

Automated lead generation

Inbound marketing shouldn't sit in a queue. When a high-value signal fires in Google Cloud, your agent triggers `create_new_lead` to register the prospect immediately. Sales gets notified while the lead is hot. Getting started takes three lines of code. You initialize an McpToolset with your endpoint URL and pass it to the agent. Filter specific tools if you only want it touching invoices.

Setup guide

Set up Clientjoy 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Clientjoy 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="Clientjoy_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Clientjoy tools via MCP.",
    tools=mcp_tools,
)

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

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 Clientjoy MCP in Google ADK

Install the google-adk package. Initialize an McpToolset using your Vinkius URL and pass it into your LlmAgent's tools array.
Yes. The agent calls `list_sales_proposals` to fetch active quotes. Gemini's massive context window lets it analyze dozens of contracts simultaneously.
It works perfectly in GCP environments. The server handles HTTP transport natively. Your agents talk to it securely from Cloud Run or GKE.
You control exactly what the agent accesses. Use the tool_names filter in your toolset configuration. Limit it to `get_customer_details` if you want read-only access.
We route your leads, billing invoices, and customer details through a zero-trust architecture. The Vinkius endpoint requires a single auth token, and the memory state evaporates the moment your session ends.

Start using the Clientjoy MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Clientjoy. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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