How to Use the Adversus MCP in Google ADK

Q: Can I limit which tools Adversus exposes to Google ADK?

Yes, use the toolnames filter during setup. This ensures your agent only has access to the specific functions you want it to perform.

Connect Adversus to Google ADK to run sales automations against your BigQuery data and Gemini-powered workflows.

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Connect Adversus MCP to Google ADK

Create your Vinkius account to connect Adversus 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 Adversus with Google ADK

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Sync CRM projects with Google ADK

Use `list_crm_projects` to pull your current sales initiatives into your Google ADK agent. It allows your code to reference active projects by ID instantly. This makes it trivial to map agent outputs to existing Adversus structures. Your agent now speaks the same language as your sales team.

Filter active leads using Google ADK

The `list_active_leads` tool lets your agent query the global lead pool from within your Google ADK environment. It pulls the data you need to make informed decisions on the fly. Stop digging through static spreadsheets. Your agent iterates through these leads to determine which ones need an immediate follow-up call.

Query campaign contacts via Google ADK

Call `list_campaign_contacts` to retrieve specific prospect lists for any active outreach. This MCP Server integration gives your agent access to granular contact data. It turns your agent into a research tool that understands exactly who you are targeting. You define the logic, and the agent pulls the right contacts.

Setup guide

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

You define an McpToolset using your server URL and pass it to your LlmAgent. It maps the tools to your agent's available actions.

Yes, use the tool_names filter during setup. This ensures your agent only has access to the specific functions you want it to perform.

The server uses standard HTTP transports that fit right into your existing Google ADK setup. It is designed to work alongside your BigQuery and Vertex AI workflows.

All communications are encrypted and gated by your Vinkius endpoint token. No unauthorized process can access your call logs or contact lists.

It does. You can feed large volumes of campaign data from Adversus into a Gemini context window. The agent then reasons over that data to suggest next steps.

Use it with your favorite AI tools

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