How to Use the World Bank Climate & Energy MCP in Windsurf

Analyze global climate trends with Windsurf's autonomous Cascade agent.

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Connect World Bank Climate & Energy MCP to Windsurf

Create your Vinkius account to connect World Bank Climate & Energy to Windsurf 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 Windsurf

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Automated Indicator Retrieval

Need to compare electricity access rates across continents? Just set the goal, and Windsurf's Cascade handles it. It autonomously calls `get_climate_indicator` for any code you drop in. This process works whether you're tracking population percentages or specific resource metrics. You just define the scope; the MCP Server figures out the sequence of API calls needed to get your full report.

CO2 and Forest Area Tracking

Building a dashboard that needs immediate emissions data? Cascade pulls it together instantly. It uses `get_co2_emissions` to grab metric tons per capita, then chains that with `get_forest_area` for context. You don't write the loop; you just state the comparison. Windsurf’s MCP Server takes care of fetching both datasets and presenting a clean result set.

Renewable Energy Analysis

Comparing energy sources is simple with this setup. Cascade pulls `get_renewable_energy` percentage data, letting you immediately compare it to the total energy consumption figures. It’s built for multi-step research. You tell your agent to find all available renewable percentages and map them against indicators like `get_electricity_access`. The Windsurf MCP Server does the heavy lifting.

Setup guide

Set up World Bank Climate & Energy MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the World Bank Climate & Energy MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my World Bank Climate & Energy payment history." If connected, Cascade will call the World Bank Climate & Energy tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "world-bank-climate-energy-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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.

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Common questions about World Bank Climate & Energy MCP in Windsurf

Set a single goal for Cascade, like 'Compare CO2 emissions to forest area.' The MCP Server handles the necessary calls using `get_co2_emissions` and `get_forest_area`. You don't need to worry about chaining API requests yourself.

Absolutely. Cascade manages the complexity of querying multiple indicators across regions. It reads the context and executes sequential calls, keeping track of which `get_climate_indicator` was called where.

The simplest way is through a single prompt. Tell your agent exactly what comparison you want—for instance, linking `get_electricity_access` rates to renewable consumption. The MCP Server organizes and presents all that data.

Yes, because Cascade is designed for multi-step planning. It can pull indicator data over time using `get_climate_indicator` and structure those results into a clear comparison.

This server deals with quantitative, global economic and environmental metrics. Specifically, it manages indicators like forest area percentages, CO2 emissions (metric tons per capita), and electricity access rates.

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