How to Use the ContactOut MCP in Google ADK

Q: Can I limit Google ADK to only use specific ContactOut tools?

Yes, use the toolnames filter when defining your McpToolset. You can restrict your agent to only use findlinkedinbyemail if you want to prevent it from running broader searches.

Q: How does the ContactOut MCP Server integrate with BigQuery via Google ADK?

Your agent can query BigQuery for stale contacts, use enrichcontact to find their current phone numbers, and write the updated profiles back to your database in a single automated run.

Feed clean ContactOut B2B data directly into your Google ADK enterprise pipelines and Gemini long-context models.

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Connect ContactOut MCP to Google ADK

Create your Vinkius account to connect ContactOut 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 ContactOut with Google ADK

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Mass enrichment in Google ADK long-context loops

Gemini models love data, and the Google ADK lets you feed thousands of lines of context at once. Use this ContactOut MCP Server to run `search_people` and dump deep professional profiles straight into your Gemini reasoning window. Your agent can analyze whole industries by chaining `search_companies` with your BigQuery datasets. It finds the gaps, locates the decision-makers, and builds a targeted list without breaking a sweat.

Map accounts directly from Google Cloud databases

Stop manually copying leads into your CRM. Your Google ADK agent can read company domains from your database, call `enrich_company`, and update your records with fresh revenue and headcount data. It uses the `find_linkedin_by_email` tool to match your existing customer list with active social profiles. This keeps your enterprise data clean and actionable.

Automated pipeline tracking and credit management

Enterprise scaling with an MCP Server requires strict resource monitoring. Your Google ADK agents can query `get_api_usage` to keep tabs on your data consumption during heavy batch runs. You can restrict the toolset using the tool_names filter. This ensures your automated Vertex AI pipelines only call `enrich_contact` when a lead meets your strict qualification scores.

Setup guide

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

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Common questions about ContactOut MCP in Google ADK

Yes, you can initialize the McpToolset using the streamable HTTP server parameters pointing to your Vinkius endpoint. This lets your Gemini models access tools like `find_email_by_linkedin` instantly.

Gemini's million-token context window allows the Google ADK to process hundreds of results from `search_people` in a single prompt. The agent can sort, filter, and draft emails in one go.

Yes, use the tool_names filter when defining your McpToolset. You can restrict your agent to only use `find_linkedin_by_email` if you want to prevent it from running broader searches.

Your agent can query BigQuery for stale contacts, use `enrich_contact` to find their current phone numbers, and write the updated profiles back to your database in a single automated run.

All business emails and phone numbers retrieved from the server transit through secure, encrypted channels. Your Google Cloud environment remains isolated, and the MCP bridge never caches your sensitive lookup queries.

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