How to Use the World Bank Climate & Energy MCP in Google ADK

Run enterprise energy analysis using the Google ADK.

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Connect World Bank Climate & Energy MCP to Google ADK

Create your Vinkius account to connect World Bank Climate & Energy 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 Climate & Energy with Google ADK

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Analyze Climate Data with MCP Server

The `get_climate_indicator` tool lets your agents pull any World Bank indicator by code. Because you're using Google ADK, these results can flow directly into BigQuery for immediate analysis. You pair this function with others like `get_co2_emissions` to build out large-scale climate models right where your data lives.

Manage World Bank Climate & Energy Data in Google ADK

You can retrieve the forest area percentage using `get_forest_area`. This is perfect for agents running on Google Cloud, especially when you need to join it with existing data tables. The Gemini model's long context window means it holds all these diverse metrics—from resource usage to emissions—in memory while reasoning.

Access World Bank Climate & Energy Metrics using MCP Server

Need the percentage of total renewable energy? The `get_renewable_energy` tool delivers that data point. This metric is critical for assessing national sustainability efforts. You can execute this alongside checks on `get_electricity_access` to get a full picture of global power infrastructure.

Setup guide

Set up World Bank Climate & Energy 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 Climate & Energy 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 Climate & Energy_agent",
    model="gemini-2.0-flash",
    instruction="You have access to World Bank Climate & Energy tools via MCP.",
    tools=mcp_tools,
)

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Common questions about World Bank Climate & Energy MCP in Google ADK

You pass the MCP toolset directly to your LlmAgent. This setup allows your agents to act on external data sources like this server, keeping everything within your existing Google Cloud infrastructure.

The server touches indicators, percentages of land area, and metrics measured in metric tons per capita. The Google ADK handles the large-context reasoning across all these diverse types.

Yes. Since you’re building on Google Cloud, your agents can process multiple data points—like `get_co2_emissions` and `get_electricity_access`—using the 1M+ token context window for deep analysis.

You can. You set up your tools list to include this MCP Server, letting your agent call functions like `get_climate_indicator` and then process the results against BigQuery data.

The server supplies indicators, percentages of population access, and resource usage metrics measured in metric tons per capita.

Use it with your favorite AI tools

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

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