How to Use the Happierleads MCP in Google ADK

Q: Can I use Happierleads with BigQuery data in Google ADK?

You can feed the output of happierleadsinfo into your BigQuery queries. This allows your agent to cross-reference visitor companies with your current sales pipeline.

Connect Happierleads to the Google ADK to turn anonymous visitor data into actionable intelligence for your Gemini-powered agents.

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Connect Happierleads MCP to Google ADK

Create your Vinkius account to connect Happierleads 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 Happierleads with Google ADK

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Real-time visitor intel for Google ADK

The `happierleads_info` tool gives your agent the power to identify who is visiting your site. It bridges the gap between raw traffic and qualified accounts. Your agent can now reason about site visitors within the same context as your BigQuery data. It connects the dots between a company visit and your internal records.

Native MCP integration with Google ADK

You use the McpToolset to bring Happierleads into the Gemini ecosystem. It works alongside your existing Vertex AI resources without requiring custom middleware. Your agent calls `happierleads_info` as if it were a local function. It fits perfectly into your existing pipeline for automated sales research.

Enterprise-grade agent performance

The server supports both Stdio and HTTP transports to match your Google Cloud architecture. You get consistent performance even when processing massive visitor logs. You can restrict access to the `happierleads_info` tool using the tool_names filter. This ensures your agent only interacts with the data you explicitly permit.

Setup guide

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

Initialize the McpToolset with your server URL and pass it to your LlmAgent. This allows your agent to call the tool directly during its reasoning process.

You can feed the output of `happierleads_info` into your BigQuery queries. This allows your agent to cross-reference visitor companies with your current sales pipeline.

It works perfectly with Gemini models. You can pass the resolved company data into the 1M+ token context window for deeper analysis of visitor intent.

The server uses a single endpoint token provided during setup. This ensures your connection remains secure while your agent performs its tasks.

The server uses zero-trust principles for all data transit. It only processes IP-to-company mappings and never touches sensitive personal identifiers or private user logs.

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