How to Use the World Bank Countries MCP in Mastra AI

Q: How does Mastra AI handle World Bank Countries searches?

Mastra AI executes tool calls like searchincomelevels and incorporates the result into its workflow state. If a search fails, you've configured it to automatically retry with exponential backoff.

Build resilient, multi-step workflows using World Bank Countries data with Mastra AI.

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Connect World Bank Countries MCP to Mastra AI

Create your Vinkius account to connect World Bank Countries 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 Countries with Mastra AI

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Check country lists for workflow validation.

You can use `list_countries` to validate a list of required nations before running a main process. This ensures your workflow doesn't fail midway because of bad input. The Mastra AI client processes the tool result, allowing you to build conditional logic around country existence. If it fails, your workflow handles the retry.

Filter World Bank Countries by income status.

`search_income_levels` lets your agent check a target nation's economic tier (e.g., g or HIC). This is critical for determining if a subsequent step in the workflow can run. If the search returns an unexpected code, your built-in failure handling automatically triggers an admin notification instead of crashing.

Determine geographic regions for World Bank Countries.

`search_regions` provides the necessary geographical context. You can use this to group related countries and run a batch update or process. The workflow engine handles the whole sequence: check region, then validate country list, all in one robust command.

Setup guide

Set up World Bank Countries 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 Countries 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-countries-mcp-client",
  servers: {
    "world-bank-countries-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about World Bank Countries MCP in Mastra AI

Mastra AI executes tool calls like `search_income_levels` and incorporates the result into its workflow state. If a search fails, you've configured it to automatically retry with exponential backoff.

Yes. You can sequence actions—for example, first check the region using `search_regions`, then validate the country list using `list_countries`. The system manages the state between steps.

It handles network timeouts and API errors gracefully. You can set up conditional branching; if a country search fails, it notifies an admin instead of stopping the whole process.

The server manages structured data like ISO codes, global income classifications (LIC/HIC), and geographic regions. The Mastra AI client reliably passes these structured strings into your workflow.

By using the framework's built-in retries, you increase reliability. If an initial attempt to call `search_regions` fails, it automatically attempts the connection later.

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