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How to Use the ConnectAndSell MCP in Google ADK

Feed ConnectAndSell dialer metrics directly to your Google ADK pipelines.

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Google ADK

Connect ConnectAndSell MCP to Google ADK

Create your Vinkius account to connect ConnectAndSell 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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Map dialer lists to Gemini using Google ADK

The `list_assigned_lists` tool pulls active outbound prospect lists directly into your Gemini long-context window. By initializing `McpToolset` with your Vinkius URL, your Google ADK agent parses thousands of assigned leads via this MCP Server. This setup lets your enterprise agent compare active dialer lists against historical CRM data already sitting in BigQuery. You can restrict access by applying a `tool_names` filter to expose only the list management tools.

Analyze conversations inside Google Cloud

The `list_conversations` tool retrieves full logs of successful connections, including date-filtered outcomes. Your Gemini agent reads these conversation records to spot patterns in buyer responses, processing millions of tokens without hitting context limits. Because the ADK runs natively on Google Cloud, you can feed these conversation logs into Vertex AI for sentiment analysis. The agent handles the transport over HTTP or Stdio without custom pipeline code.

Audit ConnectAndSell MCP Server users

The `list_cas_users` tool pulls your complete dialer user directory into your Google ADK environment. Your agent cross-references this list against your internal Google Cloud IAM directory to find inactive accounts. This automated audit runs as a background task, ensuring only active reps have dialing lists assigned. The agent flags mismatches and writes the clean directory data back to your cloud storage.

Setup guide

Set up ConnectAndSell 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 ConnectAndSell 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="ConnectAndSell_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ConnectAndSell tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ConnectAndSell. 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 ConnectAndSell MCP in Google ADK

Run `pip install google-adk` and define your server parameters using `StreamableHttpServerParameters`. Pass this MCP Server config into `McpToolset` and add it to your `LlmAgent` tools array.
Yes, use the optional `tool_names` filter when instantiating your `McpToolset`. This prevents Gemini from seeing sensitive tools like `sync_to_crm` if you only want it reading list data.
Your agent can pull months of call logs via this MCP Server and feed the entire raw payload to Gemini. The model analyzes thousands of dialing events in one go without timing out.
Your agent invokes `sync_to_crm` by passing the call ID and CRM type directly through the toolset. This updates your sales pipeline immediately after a call ends.
Your sales call logs, prospect lists, and rep performance metrics flow directly between the dialer API and your Google Cloud VPC. Vinkius processes these requests inside secure, zero-trust sandboxes that destroy themselves after execution.

Start using the ConnectAndSell MCP today

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