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How to Use the Lusha MCP in Google ADK

Connect Lusha to Google ADK to power your enterprise agents with verified B2B contact intelligence.

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…and any MCP-compatible client

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Google ADK

Connect Lusha MCP to Google ADK

Create your Vinkius account to connect Lusha 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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Direct B2B data access for Google ADK

Your agent can now pull verified phone numbers and emails using `get_person_by_linkedin` or `get_person_by_email`. It integrates directly into your agent's toolset. Since this runs on Google ADK, you can pipe these results straight into BigQuery. It turns raw contact records into structured data for your downstream analytics.

Enterprise prospecting inside Google ADK

Use `prospect_new_companies` to identify high-value accounts that match your target profile. The agent executes this search, then uses `enrich_company_info` to flesh out the details. This keeps your research phase entirely automated. Your agent handles the heavy lifting, leaving you to focus on the actual outreach strategy.

Manage your Lusha credits via Google ADK

Avoid unexpected billing surprises by checking your balance with `get_credit_balance`. Your agent can trigger this check at the start of every daily batch run. If you see usage spiking, use `get_usage_stats` to audit which tool is consuming the most credits. It provides the visibility you need for large-scale enterprise deployments.

Setup guide

Set up Lusha 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 Lusha 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="Lusha_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Lusha 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 Lusha. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lusha MCP in Google ADK

You use the McpToolset class to bind the server URL to your agent. This allows the Gemini model to invoke Lusha tools as native functions.
Yes. The McpToolset allows you to pass a tool_names filter. This restricts the agent to only the specific functions you want it to perform.
Yes, it supports both Stdio and HTTP. You can choose the transport that fits your specific Google Cloud infrastructure requirements.
The Vinkius platform manages your authentication. You provide the endpoint token, and the server handles the Lusha API key securely behind the scenes.
The server transmits data over encrypted channels. It only touches the contact information you specifically request, and nothing is cached on the Vinkius infrastructure.

Start using the Lusha MCP today

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Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Lusha. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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