How to Use the Salesquared MCP in Google ADK

Q: How do I restrict Salesquared tools in Google ADK?

Pass a toolnames filter when defining your McpToolset in your script. This ensures your agent only has access to the specific tools you want to expose, like getlead or sendsms.

Q: Does Salesquared work with Google ADK long-context models?

Absolutely. You can pipe the results of listleads into your Gemini models to summarize your entire lead pool. It handles large datasets efficiently through the MCP bridge.

Build enterprise-grade logic with the Google ADK and Salesquared MCP Server to act on your lead data in real-time.

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Connect Salesquared MCP to Google ADK

Create your Vinkius account to connect Salesquared 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 Salesquared with Google ADK

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Lead management for Google ADK

Query and update your prospect list using native Google ADK toolsets. Your agent triggers `list_leads` to pull data into your local context for analysis. This workflow works directly with your existing infrastructure. You treat `list_leads` as a local function, allowing your agent to reason over your database without manual lookups.

Voice survey automation in Google ADK

Deploy complex voice surveys using the `create_voice_survey` tool. Your agent orchestrates the survey structure and pushes it to your audience automatically. This gives you granular control over customer feedback. You define the survey triggers in your agent's logic, and the server executes the call sequence without extra middleware.

Secure messaging via Salesquared

Integrate SMS notifications into your Google ADK pipelines. When your agent identifies a high-priority event, it executes `send_sms` to notify your team. It removes the need for custom message brokers. By mapping `send_sms` to your agent, you keep all business logic inside your primary script.

Setup guide

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

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Common questions about Salesquared MCP in Google ADK

Pass a `tool_names` filter when defining your `McpToolset` in your script. This ensures your agent only has access to the specific tools you want to expose, like `get_lead` or `send_sms`.

Absolutely. You can pipe the results of `list_leads` into your Gemini models to summarize your entire lead pool. It handles large datasets efficiently through the MCP bridge.

You use an endpoint token provided by Vinkius during server setup. The `McpToolset` handles the handshake, keeping your credentials out of your application source code.

The server operates in a zero-trust sandbox. Your lead names, email addresses, and phone numbers are processed in memory and never persisted in the MCP server environment.

Yes. You can write an agent that pulls data from BigQuery and uses that info to trigger `create_lead` or `send_voice_otp`. It bridges your warehouse data with your communications platform.

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