How to Use the LeadConnector MCP in Google ADK

Q: How do I initialize the LeadConnector toolset inside Google ADK?

Install google-adk and define McpToolset using your streamable HTTP server parameters. Pass this toolset directly into the tools list when building your LlmAgent.

Q: Can my Google ADK agent write LeadConnector data back to BigQuery?

Yes, your agent can fetch records using listcontacts and write them to BigQuery using Google's native cloud libraries. The MCP server handles the CRM extraction while the ADK handles Google Cloud storage.

Feed LeadConnector CRM data directly into Gemini long-context models using the Google ADK for enterprise pipelines.

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Connect LeadConnector MCP to Google ADK

Create your Vinkius account to connect LeadConnector 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 LeadConnector with Google ADK

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Inject CRM contacts directly into Google ADK pipelines

This integration lets your Google ADK agent pull entire contact lists using `list_contacts` and feed them directly into Gemini's massive context window. You don't have to build complex pipelines to sync your CRM with Google Cloud. The agent queries LeadConnector directly, matching database records with live customer profiles in seconds.

Query sales pipelines alongside BigQuery data

Your agent can call `list_opportunities` to fetch current deal states and cross-reference them with historical trends stored in BigQuery. This setup lets you build analytical agents that spot pipeline bottlenecks. The agent evaluates actual deal values against historical performance without manual exports.

Manage calendar schedules using Google ADK tools

Exposing `list_appointments` to your Google ADK agent allows the system to check schedules and coordinate meetings without leaving the Google Cloud environment. Configure the `McpToolset` with your Vinkius HTTP URL to start. You can also apply a tool name filter if you want to restrict the agent to calendar operations only.

Setup guide

Set up LeadConnector 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 LeadConnector 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="LeadConnector_agent",
    model="gemini-2.0-flash",
    instruction="You have access to LeadConnector 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 LeadConnector (GoHighLevel). 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 LeadConnector MCP in Google ADK

Install `google-adk` and define `McpToolset` using your streamable HTTP server parameters. Pass this toolset directly into the `tools` list when building your `LlmAgent`.

Yes, your agent can fetch records using `list_contacts` and write them to BigQuery using Google's native cloud libraries. The MCP server handles the CRM extraction while the ADK handles Google Cloud storage.

Yes, this MCP Server supports both stdio and HTTP transports. For cloud-hosted enterprise pipelines, we recommend streamable HTTP to keep your agent infrastructure serverless.

Use the optional tool name filter when setting up your toolset. Pass only `list_appointments` to the configuration to block access to contacts and pipelines.

All CRM data, including contact details and appointment logs, is encrypted in transit using TLS 1.3. Vinkius runs the MCP Server in an isolated V8 sandbox, ensuring your authentication tokens never leak.

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