How to Use the Clustdoc MCP in Google ADK

Q: Can I filter Clustdoc tools in Google ADK?

Yes, use the toolnames parameter in your McpToolset definition. This restricts the agent to only the specific functions you want it to perform.

Connect Clustdoc to your Google ADK infrastructure for enterprise-grade onboarding.

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Connect Clustdoc MCP to Google ADK

Create your Vinkius account to connect Clustdoc 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 Clustdoc with Google ADK

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Query dossiers using Google ADK

Your Gemini-powered agent pulls a list of active applications using `list_client_dossiers`. It parses this data to decide which clients require immediate follow-up. By running `get_my_clustdoc_profile`, the agent confirms its own access levels before performing actions. This keeps your agent's operations within the scope of your team's configuration.

Manage onboarding templates in Google ADK

Keep your workflow definitions synced with your agent's reasoning. The model fetches the current templates with `list_onboarding_templates` to understand the available onboarding paths. It then inspects specific settings using `get_workflow_configuration`. This gives the agent the context needed to choose the right template for a new client.

Execute onboarding actions via MCP Server

Trigger client invites directly from your Google Cloud environment. The agent invokes `launch_new_onboarding` to register a new file and `send_onboarding_invitation` to start the process. Your agent maintains full control over the lifecycle of each application. It monitors the status via `get_application_status_details` to close the loop on every dossier.

Setup guide

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

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Common questions about Clustdoc MCP in Google ADK

You use the McpToolset class inside your Google ADK setup. Point the server_params to your Vinkius endpoint, and the tools become available to your agent.

The agent processes the JSON output from the tools directly. It can correlate this with your BigQuery datasets to provide insights on your onboarding funnel.

Yes, use the tool_names parameter in your McpToolset definition. This restricts the agent to only the specific functions you want it to perform.

The connection is established per session. Vinkius keeps the transport secure, and your agent only fetches data when it needs to complete a step.

Data privacy is enforced by the Vinkius zero-trust architecture. This server only touches your onboarding dossier metadata, and all traffic is encrypted in transit.

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