How to Use the World Bank Population MCP in Google ADK

Q: Can I calculate population trends and poverty simultaneously?

You absolutely can. The agent runs getpopulationgrowth to establish a trend, and then calls getpoverty to give the current status. It synthesizes both results into one actionable summary.

Action your enterprise data using the Google ADK to analyze World Bank Population trends.

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Connect World Bank Population MCP to Google ADK

Create your Vinkius account to connect World Bank Population 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 World Bank Population with Google ADK

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Extract population metrics

To get a baseline count, you use `get_total_population`. This function provides the global total population figure instantly. It's perfect for initial data ingestion into BigQuery. Your Gemini-powered agent can hold this number in its context while querying related financial or social records already stored in your Google Cloud environment.

Analyze poverty and inequality

Run `get_poverty` to get the headcount ratio for 15 a day. This gives you a concrete, measurable metric of global economic status. You can then compare this result against your internal company datasets. If you need an indicator beyond just money, `get_gini_index` provides that measure of inequality, letting you build richer reports.

Gather specific social data points

When the required metric isn't obvious, use `get_social_indicator`. This tool accepts a code and pulls any World Bank population or social indicator. It’s your go-to for deep dives. The agent executes this call using its long-context reasoning, ensuring the resulting data fits into complex workflows alongside other BigQuery tables.

Setup guide

Set up World Bank Population 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 World Bank Population 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="World Bank Population_agent",
    model="gemini-2.0-flash",
    instruction="You have access to World Bank Population tools via MCP.",
    tools=mcp_tools,
)

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Common questions about World Bank Population MCP in Google ADK

The Google ADK allows your agent to take the structured output (like a population growth percentage) and immediately act on it within BigQuery. This means you don't just read the data; you use it to update records or trigger other processes.

You can pull total population, poverty ratios, Gini coefficients, and any indicator defined by code via `get_social_indicator`. It’s a massive set of metrics designed to cover global development.

Yes. Since it's built for large-scale, enterprise agents, it supports long-context reasoning with Gemini models that can manage massive amounts of related data across your BigQuery schema.

You absolutely can. The agent runs `get_population_growth` to establish a trend, and then calls `get_poverty` to give the current status. It synthesizes both results into one actionable summary.

This server handles aggregate demographic statistics. Specifically, it deals with population growth percentages, poverty headcount ratios (a measurable quantity), and total population counts.

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