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How to Use the Clientjoy MCP in Google ADK

Feed Clientjoy CRM data directly into Gemini's million-token context using the Google ADK.

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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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Analyze Clientjoy Leads with Google ADK

The `list_clientjoy_leads` and `get_lead_crm_details` tools let you load your entire sales pipeline into Gemini's massive context window. Your agent scans hundreds of lead histories simultaneously to find patterns your sales team missed. Combining these tools with your enterprise data in BigQuery lets you run deep predictive modeling. The ADK handles the heavy lifting, serving raw CRM data directly to your model for instant analysis.

Audit Clientjoy Invoices via Google ADK

The `list_agency_invoices` and `list_sales_quotes` tools allow enterprise agents to audit billing histories against historical contracts. Your agent queries the active quotes, pulls the paid invoices, and flags discrepancies. Because you are using the Google ADK, you can easily export these audited financial reports straight into Google Cloud storage or BigQuery tables for your accounting team to review.

Connect Google ADK to Clientjoy Projects

The `list_agency_projects` and `list_clientjoy_contacts` tools give your Gemini-powered agent the ability to track active deliverables alongside client communication logs. It pulls real-time project updates to answer complex account status questions. This MCP Server exposes these tools over secure HTTP or Stdio transports. You can filter the tools list in your ADK setup to make sure your agent only sees the project tools it needs.

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.

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Common questions about Clientjoy MCP in Google ADK

You use `McpToolset` with your HTTP server parameters and pass it to your `LlmAgent`. The ADK auto-discovers all tools like `get_my_clientjoy_profile` instantly.
Yes, the ADK supports a `tool_names` filter. You can restrict your agent to only see `list_agency_projects` while hiding sensitive billing tools.
Gemini's long context handles massive payloads easily. When you run `list_clientjoy_contacts`, the ADK feeds the entire contact list into the model's active memory without hitting token limits.
Yes, you can register multiple MCP toolsets. Your agent can pull client details from Clientjoy and cross-reference them with custom analytics tables stored in BigQuery.
Your lead records and agency invoices are processed strictly within your Google Cloud boundary and our secure MCP sandbox. No data is saved or used to train public models.

Start using the Clientjoy MCP today

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