How to Use the ClientSuccess MCP in Google ADK

Q: How do I initialize ClientSuccess in Google ADK?

Use the McpToolset class with StreamableHttpServerParameters. Point the URL to your Vinkius endpoint and pass the resulting object into the tools array of your LlmAgent.

Feed ClientSuccess data directly into Google ADK agents via this MCP Server to power long-context analysis with Gemini.

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Connect ClientSuccess MCP to Google ADK

Create your Vinkius account to connect ClientSuccess 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 ClientSuccess with Google ADK

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Merge success data with BigQuery

Enterprise teams already have product usage logs sitting in Google Cloud. Connecting this MCP Server to your Google ADK agent lets you pull health scores via `get_client_details` and cross-reference them with raw event data. Gemini processes both streams simultaneously. You configure this by passing a `McpToolset` to your `LlmAgent` setup. The framework handles the HTTP transport natively, letting your agent query the customer success database without writing custom API wrappers.

Google ADK MCP Server Analysis

Gemini models can hold over a million tokens in context. An agent can call `list_clients` and `list_contracts` to dump your entire active customer base into a single prompt session. The model reads the whole dataset to identify macro churn trends. Restricting exposed operations keeps the agent focused. Use the `tool_names` filter in your toolset parameters if you only want the model to read data, preventing it from ever seeing the `create_client` option.

Map stakeholder networks automatically

Account managers struggle to track who actually uses the product versus who pays for it. Your Gemini agent can run `list_contacts` across specific client IDs to map out organizational structures. It spots missing technical contacts on high-value accounts. Running this through Vertex AI means you can trigger the analysis on a schedule. The agent pulls the latest segments from the MCP Server using `list_segments` and updates your internal dashboards with fresh relationship maps.

Setup guide

Set up ClientSuccess 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 ClientSuccess 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="ClientSuccess_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ClientSuccess 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 ClientSuccess. 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 ClientSuccess MCP in Google ADK

Use the `McpToolset` class with `StreamableHttpServerParameters`. Point the URL to your Vinkius endpoint and pass the resulting object into the `tools` array of your `LlmAgent`.

Yes, you can filter the exposed functions. Pass an array of specific strings to the `tool_names` parameter to hide operations like client creation.

That is the main advantage of this framework. Your agent can query your data warehouse and pull contract details from the MCP Server in the same reasoning loop.

The framework supports both Stdio and HTTP transports natively. You just need the endpoint URL from your Vinkius dashboard to establish the connection.

Vinkius processes everything in a stateless sandbox. When your agent fetches renewal dates or segment names, the data routes through a secure tunnel and never touches persistent storage.

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