How to Use the World Bank Full Access MCP in Mastra AI

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Connect World Bank Full Access MCP to Mastra AI

Create your Vinkius account to connect World Bank Full Access 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 Full Access with Mastra AI

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Multi-Step Financial Risk Modeling on the MCP Server

Need to assess global financial stability? You start by getting total external debt stocks using `get_external_debt`. Then, you can branch the workflow: if the ratio exceeds a certain threshold, retry by checking the current GDP growth rate (`get_gdp_growth`). This MCP Server enables complex failure handling. If one data point is missing or invalid, Mastra AI automatically retries the request or moves to a secondary check, like analyzing the country's Gini index (`get_gini_index`) for deeper context.

Automated Development Indicator Analysis with Mastra AI

You can build a full developmental assessment. The workflow begins by calling `get_life_expectancy` and `get_health_expenditure`. Next, you conditionally check the population's education level using `get_literacy_rate`. This flow is ideal for mission-critical tasks. If the initial data suggests low health spending, the agent can automatically pivot to checking if research expenditure (`get_research_dev_expenditure`) is high enough to compensate.

Global Resource Mapping with World Bank Full Access

To map natural resources, start by querying forest area using `get_forest_area`. Then, you can compare this against energy data, fetching renewable energy consumption (`get_renewable_energy`). The server handles the massive catalog search. You use `search_indicators` to find specific resource metrics (like agriculture value added percentage) and then compile a comprehensive report that manages different data types effectively.

Setup guide

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

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

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

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Common questions about World Bank Full Access MCP in Mastra AI

You design conditional branches. For example, you check the unemployment rate (`get_unemployment_rate`). If it's high, the workflow automatically triggers a secondary step to pull data on population growth percentage (`get_population_growth`) for comparison.

Yes. It gives you everything from GDP (current US$) and total labor force counts to highly specific indicators like infant mortality rate (`get_infant_mortality`). The range is massive.

You set up sequence dependencies. For instance, Agent 1 calls `list_countries`, and once the list is returned, Agent 2 uses that list to call specific indicators like `get_inflation` for each country.

The server touches many metrics. For instance, it handles both percentage values (like `% of GDP`) and absolute figures like total population counts (`get_total_population`).

This server touches economic metrics, specifically Gross Domestic Product (GDP) in current US$.

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