How to Use the World Bank Labor & Trade MCP in Mastra AI

Q: What kind of inputs does the World Bank Labor & Trade server require?

The tools generally require identifiers (like a code for getlabortradeindicator) or context parameters to pull specific data points, such as country codes and time periods.

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Connect World Bank Labor & Trade MCP to Mastra AI

Create your Vinkius account to connect World Bank Labor & Trade 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 Labor & Trade with Mastra AI

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Perplexity

Multi-step Economic Analysis with Mastra AI

You can design a complex workflow that first checks the Foreign Direct Investment (`get_fdi`). If that data is retrieved successfully, it automatically moves to calculate `get_exports` for comparison. The Mastra AI framework manages these dependencies. Should one step fail—say, the export calculation times out—it doesn't just crash; your workflow attempts a controlled retry.

Conditional World Bank Labor & Trade Reporting

Set up logic that acts on specific data points. For example, you can write a routine: IF `get_unemployment_rate` exceeds 5% AND the `get_labor_force` is below expected levels, THEN notify an admin via a secondary action. This conditional branching handles complex World Bank Labor & Trade reporting that simple scripts miss. You build robust, failure-proof processes.

Comprehensive MCP Server Data Retrieval

Need to check several indicators? Use `get_labor_trade_indicator` within a workflow loop. The system gathers multiple data points—from trade balances to labor metrics—and compiles them into one structured output. This makes building comprehensive reports on World Bank Labor & Trade simple, even when dealing with varied endpoints and required inputs.

Setup guide

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

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

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

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Common questions about World Bank Labor & Trade MCP in Mastra AI

It handles failure gracefully through automatic retries and exponential backoff. If the connection to the MCP Server drops while fetching data, it won't fail outright; it will try again until the operation succeeds.

Yes. You build ordered workflows where one step must complete before the next starts, making it perfect for multi-stage economic reporting using tools like `get_fdi` followed by `get_exports`.

The server deals with quantitative metrics: percentages of GDP (FDI, exports), total counts (labor force), and rates (unemployment). These are the core World Bank Labor & Trade data points.

It’s designed for exactly that. Its built-in workflow engine allows you to write multi-step, conditional logic around economic data retrieval, making your reports highly resilient.

The tools generally require identifiers (like a code for `get_labor_trade_indicator`) or context parameters to pull specific data points, such as country codes and time periods.

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