How to Use the World Bank Climate & Energy MCP in Mastra AI

Q: Does Mastra AI support human review steps for World Bank Climate & Energy data?

It does. You can use requireToolApproval to pause your complex climate analysis workflow and wait for a human expert to approve the findings before proceeding.

Build complex climate analysis workflows that handle failure using Mastra AI's advanced retry logic.

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Connect World Bank Climate & Energy MCP to Mastra AI

Create your Vinkius account to connect World Bank Climate & Energy to Mastra AI 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 Mastra AI

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Perplexity

Managing Emissions Data

You can set up a workflow to check CO2 emissions (`get_co2_emissions`) for multiple countries. If the first API call fails, Mastra AI automatically retries with exponential backoff until it gets usable data. This resilience means your complex climate models don't crash if one country endpoint is temporarily down.

Cross-referencing Climate Metrics

Need to analyze forest loss alongside general metrics? Run `get_forest_area` and combine it with other data points using the workflow engine. Mastra AI handles conditional branching—if deforestation is over X%, it triggers a specialized report. This level of structured, multi-step logic is what makes building reliable climate analysis workflows simple.

Checking Energy Infrastructure Status

Use `get_electricity_access` and `get_renewable_energy` to build a full energy profile. The workflow ensures that even if one tool fails, the whole process doesn't fail; it attempts alternative paths. This stability is crucial when dealing with critical infrastructure data from World Bank Climate & Energy.

Setup guide

Set up World Bank Climate & Energy MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All World Bank Climate & Energy tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "world-bank-climate-energy-mcp-client",
  servers: {
    "world-bank-climate-energy-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "World Bank Climate & Energy Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to World Bank Climate & Energy tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent World Bank Climate & Energy transactions"
);
console.log(result.text);

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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 Mastra AI

Mastra AI automatically retries failed steps using exponential backoff. This means if a specific climate indicator call fails, the system attempts it again later without you having to write retry logic.

Yes, absolutely. You can set up conditional branches—for example, 'if CO2 emissions are high AND forest area is low, then notify the admin.' The workflow handles that logic.

It does. You can use `requireToolApproval` to pause your complex climate analysis workflow and wait for a human expert to approve the findings before proceeding.

It analyzes indicators like CO2 emissions, electricity access percentages, and renewable energy consumption rates. Any combination of these tools works within a single workflow.

The core data types include indicator codes, population percentages (like electricity access), and metric ton counts for emissions.

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