How to Use the Agify MCP in Google ADK

Connect Gemini agents to demographic data using Google ADK and Agify.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Agify MCP to Google ADK

Create your Vinkius account to connect Agify 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.

GDPR Free for Subscribers

Setup Agify with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Enrich BigQuery records in bulk

The `predict_age_batch` tool takes arrays of first names and returns demographic estimates. Your Gemini agent can pull unassigned leads from BigQuery, format the names, and request the statistical ages in one pass. This keeps the agent from looping through individual API calls. Massive context windows mean you can dump thousands of enriched records back into the prompt. The agent analyzes the entire dataset to spot demographic trends before writing the results back to Google Cloud.

Localize estimates with Agify MCP Server

Calling the `predict_age` tool with a country code shifts the statistical baseline for the name. A name might skew older in France but younger in Canada. The agent applies these regional filters based on the user's IP or profile data. Enterprise pipelines rely on accurate inputs. Filtering by region stops the model from hallucinating demographics when analyzing global customer bases.

Native toolset integration

You connect the endpoint by wrapping `StreamableHttpServerParameters` inside a `McpToolset`. Passing this to your `LlmAgent` binds the prediction capabilities directly to the Gemini model. Restricting access is easy using the tool names filter if the agent only needs the batch function. Vinkius manages the underlying infrastructure. Your Google Cloud environment just makes standard HTTP transport calls to the managed server, keeping your VPC boundaries intact.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Agify. 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.

Connect Agify now

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 Agify MCP in Google ADK

Create a toolset pointing to your Vinkius HTTP URL. Pass that object to your agent initialization.

You can pass a filter list to the toolset. This restricts the Gemini model to specific functions like batch processing.

The single prediction tool accepts a country parameter. Your agent passes this along with the name to get region-specific age estimates.

It works perfectly. You can process massive arrays of names and feed the entire result set back into the token window for analysis.

The integration only requires first names and country codes. Vinkius processes these strings in a zero-trust sandbox and drops the data the millisecond the HTTP request finishes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript