How to Use the World Bank Full Access MCP in Google ADK

Q: How does the Google ADK manage World Bank Full Access connections?

You use McpToolset to connect. This method supports both Stdio and HTTP transports, making it reliable whether you're running locally or deployed on Google Cloud.

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Connect World Bank Full Access MCP to Google ADK

Create your Vinkius account to connect World Bank Full Access 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 Full Access with Google ADK

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Perplexity

Run complex, multi-variable reports with Google ADK.

Start by calling `get_indicator_data` to retrieve core statistics for a given country. Then, you can use the resulting data alongside `list_countries` and `search_regions` to structure massive datasets in BigQuery. The long context of Gemini lets your agent hold all these variables simultaneously.

Track labor market shifts using Google ADK.

Your agents can pull the total workforce via `get_labor_force` and measure unemployment with `get_unemployment_rate`. You'll get clear, actionable data points for comparing job growth across different continents or income levels.

Build comprehensive development profiles using MCP Server.

The Mega-Server integration allows your agent to query everything from `get_poverty` (headcount ratio) to `get_health_expenditure`. This means one single toolset can power an entire, deep dive into global human capital and economic stability.

Setup guide

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

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Common questions about World Bank Full Access MCP in Google ADK

The integration is native. You pass the MCP toolset directly to your LlmAgent, allowing Gemini models to treat the entire 30-tool suite as a first-class source of truth for generating insights.

Yes. You don't have to run separate queries. Your agent can orchestrate calls like `get_gdp` and `get_gini_index` sequentially, feeding the results into your BigQuery pipeline for cross-comparison.

The server handles economic indicators (GDP, inflation), demographic statistics (Total Population, Life Expectancy), and resource metrics (Forest Area, Renewable Energy). The entire scope is accessible.

You use `McpToolset` to connect. This method supports both Stdio and HTTP transports, making it reliable whether you're running locally or deployed on Google Cloud.

The server primarily deals with aggregated economic and demographic indicators. It provides percentages, ratios, and total values—it doesn't touch individual private records.

Use it with your favorite AI tools

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