World Bank Countries MCP Server for Mastra AI 3 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect World Bank Countries through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"world-bank-countries": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "World Bank Countries Agent",
instructions:
"You help users interact with World Bank Countries " +
"using 3 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with World Bank Countries?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About World Bank Countries MCP Server
Provide your AI agent with the World Bank's master taxonomy of geography to build deeply accurate filtering and mapping tools.
Mastra's agent abstraction provides a clean separation between LLM logic and World Bank Countries tool infrastructure. Connect 3 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Country List — Rapidly retrieve massive lists of countries, their exact ISO standards, and capital cities.
- Regions & Lending — Identify macroscopic regional blocks or a country's classification logic.
- Income Taxonomies — Perfect standard groupings (e.g. searching 'HIC' High Income Countries).
The World Bank Countries MCP Server exposes 3 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect World Bank Countries to Mastra AI via MCP
Follow these steps to integrate the World Bank Countries MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 3 tools from World Bank Countries via MCP
Why Use Mastra AI with the World Bank Countries MCP Server
Mastra AI provides unique advantages when paired with World Bank Countries through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add World Bank Countries without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every World Bank Countries tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
World Bank Countries + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the World Bank Countries MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query World Bank Countries, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed World Bank Countries as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query World Bank Countries on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using World Bank Countries tools alongside other MCP servers
World Bank Countries MCP Tools for Mastra AI (3)
These 3 tools become available when you connect World Bank Countries to Mastra AI via MCP:
list_countries
List World Bank countries
search_income_levels
g., HIC, LIC). List World Bank income levels
search_regions
List World Bank geographic regions
Example Prompts for World Bank Countries in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with World Bank Countries immediately.
"List all high-income countries in East Asia."
"What are the World Bank geographic regions?"
"Show me the income level classification for all South American countries."
Troubleshooting World Bank Countries MCP Server with Mastra AI
Common issues when connecting World Bank Countries to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWorld Bank Countries + Mastra AI FAQ
Common questions about integrating World Bank Countries MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect World Bank Countries with your favorite client
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect World Bank Countries to Mastra AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.
