How to Use the SuiteDash MCP in Google ADK

Q: How do I get a full view of client history using SuiteDash and the Google ADK?

Your agent uses getcontactdetails for individual deep dives. For an overview, it can list all companies with listcompanies, giving you a complete picture suitable for BigQuery analysis.

Q: Can I link billing information to projects using SuiteDash and the Google ADK?

Yes. You can use listinvoices alongside listprojects. The agent handles these different data sources, allowing your models to correlate financial activity with executed work.

Build enterprise agents on Google Cloud acting against SuiteDash using the Google ADK.

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Connect SuiteDash MCP to Google ADK

Create your Vinkius account to connect SuiteDash 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 SuiteDash with Google ADK

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Consolidate Sales Data

The agent pulls all necessary sales data from SuiteDash. You can list every company record with `list_companies` or look up specific client info via `get_company_details`. This makes BigQuery ingestion straightforward. When you need to track individual leads, the tools allow listing contacts using `list_contacts`, making your agent's data pipeline robust and comprehensive.

Manage Project Lifecycles

Need to map project scope? The agent gets metadata for projects with `get_project_details` and lists all active jobs via `list_projects`. This is key for complex reasoning in Vertex AI. Furthermore, you can trace every task associated with a project using `list_tasks`, ensuring your models have the full context of effort hours.

Handle Billing and Deals

The agent gives Gemini access to financial records. It lists all invoices (`list_invoices`) and provides deal visibility through `list_deals`. This ensures that billing logic is always connected back to the initial sales agreement. This structure means your agents can process a deal, verify its scope against project tasks, and then generate an invoice—all within Google Cloud.

Setup guide

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

Your agent uses `get_contact_details` for individual deep dives. For an overview, it can list all companies with `list_companies`, giving you a complete picture suitable for BigQuery analysis.

The MCP Server exposes 11 tools. These include core functions like registering new contacts (`create_contact`) and retrieving project metadata with `get_project_details`.

Yes. You can use `list_invoices` alongside `list_projects`. The agent handles these different data sources, allowing your models to correlate financial activity with executed work.

The tools enable detailed scoping. You can compare the initial deal size (`list_deals`) against actual task completion logs using `list_tasks` to flag discrepancies.

The server handles various records, including 'Contacts' and 'Invoices'. This allows your agent to track the full financial journey of a client relationship.

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