How to Use the Apollo.io MCP in Google ADK

Q: Can my Google ADK agent search Apollo.io by job title?

The searchpeople operation accepts detailed parameters including titles, seniority, and department. Your Gemini model constructs the exact query based on your natural language instructions.

Q: Does this integration expose my active Apollo.io sequences to Google ADK?

Calling listsequences returns the IDs and names of your active campaigns. The agent needs this information to know where to route new prospects.

Feed Apollo.io market data directly into Google ADK enterprise agents.

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Connect Apollo.io MCP to Google ADK

Create your Vinkius account to connect Apollo.io 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 Apollo.io with Google ADK

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Cross-reference Apollo.io with BigQuery

Enterprise teams already house massive customer datasets in Google Cloud. This MCP Server bridges the gap, allowing your Gemini agent to pull external prospect data using `search_contacts` and compare it against your internal records. Long-context reasoning changes how you handle lead enrichment. You dump thousands of rows from BigQuery into the prompt and instruct the agent to run `search_organizations` to fill in missing firmographic details.

Drive outbound from your Google ADK agent

Reading data only solves half the problem. Your LLM needs write access to actually execute sales motions, which it gets by calling `add_contact_to_sequence` after identifying a qualified lead. You control exactly what the agent can do. The McpToolset allows you to apply a tool_names filter, restricting the agent to only reading data via `list_sequences` without granting permission to alter campaigns.

Analyze sales calls with Gemini

Processing conversational data requires serious context windows. Your setup grabs full meeting transcripts using `get_call` and feeds them into Vertex AI for deep sentiment analysis. The agent maps the stakeholders mentioned in the call. It then triggers `search_people` to find those specific individuals and adds them to your CRM records automatically.

Setup guide

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

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Common questions about Apollo.io MCP in Google ADK

Initialize an McpToolset using StreamableHttpServerParameters with your assigned Vinkius URL. Then, pass that toolset directly into your LlmAgent initialization.

The `search_people` operation accepts detailed parameters including titles, seniority, and department. Your Gemini model constructs the exact query based on your natural language instructions.

Calling `list_sequences` returns the IDs and names of your active campaigns. The agent needs this information to know where to route new prospects.

We support both Stdio and HTTP transports for the Google framework. Most cloud deployments prefer the HTTP route for easier container orchestration.

Vinkius manages the connection via single-endpoint tokens without storing your payload. When your MCP agent fetches sensitive meeting notes or prospect emails, the transaction occurs within an isolated, zero-trust container that destroys itself after the response.

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