How to Use the AeroLeads MCP in Google ADK

Q: How do I configure AeroLeads with Google ADK?

Use pip to install google-adk. Initialize McpToolset with your Vinkius HTTP endpoint and attach it to your LlmAgent. You can filter the exposed tools if needed.

Q: Can Google ADK check my AeroLeads API limits?

Your Gemini agent can execute getcreditbalance at any time. This prevents large BigQuery-driven prospecting jobs from failing halfway through due to empty credits.

Q: How do I view all the leads my agent captured?

Instruct the model to call listcapturedleads. It will return the complete list of prospects saved to your account.

Connect the AeroLeads MCP Server to Google ADK. Let Gemini agents search domains, enrich contacts, and cross-reference leads with BigQuery.

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Connect AeroLeads MCP to Google ADK

Create your Vinkius account to connect AeroLeads 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 AeroLeads with Google ADK

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Feed Gemini massive lead data via MCP Server

Enterprise sales teams sit on mountains of target accounts. You can drop thousands of company domains into Gemini's massive context window. The agent then iterates through them, calling `search_domain_leads` to extract verified business emails for every single one. This cuts out the manual research phase entirely. When it finds a promising contact, the agent runs `find_email_by_name` to confirm the details. It cross-references these findings against your existing BigQuery tables before taking action.

Enrich profiles directly from Vertex AI

Barebones contact lists convert poorly. Your Google ADK agent fixes this by pulling deep background data using `get_linkedin_details`. It grabs job titles, past roles, and company history to build a complete profile of the buyer. You can pipe this enriched data straight into Vertex AI for predictive scoring. The agent checks `get_lead_details` for missing fields, fills them in, and updates your central GCP database in real time.

Manage sales teams programmatically via MCP

Keeping track of who is working on what gets messy in large organizations. Your agent uses `list_team_members` to audit account access. It pairs this with `get_account_info` to monitor overall usage and subscription limits across the department. When a new campaign launches, the code creates target segments. It queries `list_prospecting_lists` to find the right destination, then pushes new prospects via `add_new_lead`. Everything stays organized without manual data entry.

Setup guide

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

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Common questions about AeroLeads MCP in Google ADK

Use pip to install `google-adk`. Initialize `McpToolset` with your Vinkius HTTP endpoint and attach it to your `LlmAgent`. You can filter the exposed tools if needed.

Your Gemini agent can execute `get_credit_balance` at any time. This prevents large BigQuery-driven prospecting jobs from failing halfway through due to empty credits.

The toolkit supports both Stdio and HTTP transports natively. Vinkius provides a secure HTTP endpoint so you do not have to host the server yourself.

Instruct the model to call `list_captured_leads`. It will return the complete list of prospects saved to your account.

Zero data leaks back to us. The integration operates within a zero-trust sandbox. Your proprietary business emails and phone numbers flow directly between the API and your Google Cloud environment.

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