How to Use the World Bank Labor & Trade MCP in Google ADK

Q: Can World Bank Labor & Trade metrics be used with Google ADK?

Yes. You can let your agent gather getfdi data (Foreign Direct Investment) and then run a large-context reasoning query on how that investment correlates with historical labor trends in BigQuery.

Q: Does World Bank Labor & Trade support comprehensive trade indicators via Google ADK?

It does. Besides exports, you can use getlabortradeindicator to pull specific codes related to labor and commerce, giving your agent access to a wide range of specialized data.

Q: What specific labor indicator codes are available via World Bank Labor & Trade with Google ADK?

The getlabortradeindicator tool accepts standardized World Bank codes. This means your agents aren't limited to the core tools; they can query almost any documented economic metric.

Run deep global labor and trade analysis with Google ADK on BigQuery.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect World Bank Labor & Trade MCP to Google ADK

Create your Vinkius account to connect World Bank Labor & Trade 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 World Bank Labor & Trade with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Examine Exports (% of GDP)

You call `get_exports` to pull data on goods and services exports as a percentage of GDP. This function is perfect for feeding into your BigQuery models, allowing Gemini to analyze global trade patterns across massive datasets. The resulting export figures help your enterprise agents quantify how much a nation relies on foreign markets. You can run these large-scale queries directly within the Google Cloud infrastructure.

Determine Total Labor Force Size

Use `get_labor_force` to get the total labor force count for any region. Since your agents are integrated with BigQuery, this figure can be immediately joined against other internal operational data. It provides a foundational number—the population segment available for work. Your Google ADK agent uses this base metric to perform large-context comparisons across multiple geographies.

Check Unemployment Rate Status

The `get_unemployment_rate` tool fetches the total unemployment rate as a percentage of the labor force. This is key for any deep economic review you run through Vertex AI. This single metric tells your agent about job availability across an entire region, which it can then cross-reference with internal workforce planning data stored in BigQuery.

Setup guide

Set up World Bank Labor & Trade 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 Labor & Trade 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 Labor & Trade_agent",
    model="gemini-2.0-flash",
    instruction="You have access to World Bank Labor & Trade 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 World Bank Open Data. 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 World Bank Labor & Trade 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 World Bank Labor & Trade MCP in Google ADK

The MCP Server provides structured tools that your agents call. Because you're using the Google ADK, these results flow naturally into BigQuery and Gemini models for immediate analysis.

Yes. You can let your agent gather `get_fdi` data (Foreign Direct Investment) and then run a large-context reasoning query on how that investment correlates with historical labor trends in BigQuery.

The server deals with percentage values, ratios (like FDI net inflows), and total counts. These numeric metrics are optimized to be consumed by long-context models like Gemini.

It does. Besides exports, you can use `get_labor_trade_indicator` to pull specific codes related to labor and commerce, giving your agent access to a wide range of specialized data.

The `get_labor_trade_indicator` tool accepts standardized World Bank codes. This means your agents aren't limited to the core tools; they can query almost any documented economic metric.

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