# World Bank Countries MCP for AI Agents AI Agent Connect

> World Bank Countries MCP provides the definitive geographic metadata for resolving country ISO codes, regional blocks, and global income classifications. It gives your agent the exact taxonomy needed for accurate filtering and mapping. Whether you are building a global economic dashboard or a data engineering pipeline, this Connector ensures your agent pulls official standards instead of guessing.

## Overview
- **Category:** brain-trust
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_A6SDZF43oRJsl5D59nh4U7kc0DLDteSSJbrBSJJG/ai-agent-connect
- **Tags:** geographic-data, iso-standards, country-metadata, economic-classification, taxonomy, global-data

## Description

The World Bank Countries MCP gives your agent a direct line to the official master taxonomy of global geography and economic classification. You can stop guessing which countries belong to specific regional blocks or which ones fall into high income brackets. Instead of your agent hallucinating a list of nations, it pulls the actual standards used by economists and data engineers. This makes it much easier to build tools that filter data by macroscopic regions or specific lending classifications without manual cross-referencing. When you add this to your workflow via Vinkius, you ensure your agent's geographic logic is grounded in official data. It is the difference between a tool that is sort of right and one that is exactly right. You get reliable data for mapping, filtering, and normalizing global datasets in one go. This is especially useful for users who need to maintain high data integrity across multiple regions. You don't have to worry about missing a country or using an outdated regional grouping. The Connector handles the heavy lifting of fetching the most current metadata, so your agent can focus on the actual analysis. It turns your agent into a reliable source of geographic truth for any project involving international data.

## Tools

### list_countries
This tool pulls a full list of countries with their official ISO standards and capital cities. It is useful for normalizing messy country names into clean data.

### search_income_levels
This tool retrieves countries categorized by their World Bank income levels. It helps you filter data by specific tiers like High Income Countries.

### search_regions
This tool identifies the specific World Bank geographic regions. Use it to group countries into official blocks like East Asia or Sub-Saharan Africa.

## Prompt Examples

**Prompt:** 
```
List all high-income countries in East Asia.
```

**Response:** 
```
🌍 **High-Income Countries: East Asia**

Japan (JPN), South Korea (KOR), Singapore (SGP), Hong Kong SAR (HKG), and Macao SAR (MAC) are classified as High Income Countries (HIC) in the East Asia & Pacific region by the World Bank.
```

**Prompt:** 
```
What are the World Bank geographic regions?
```

**Response:** 
```
🌍 **World Bank Regions**

1. East Asia & Pacific
2. Europe & Central Asia
3. Latin America & Caribbean
4. Middle East & North Africa
5. North America
6. South Asia
7. Sub-Saharan Africa
```

**Prompt:** 
```
Show me the income level classification for all South American countries.
```

**Response:** 
```
🌍 **Income Levels: South America**

Upper-Middle Income: Brazil, Colombia, Peru, Argentina, Ecuador, Paraguay. High Income: Chile, Uruguay. Lower-Middle Income: Bolivia. The classification is based on GNI per capita thresholds set by the World Bank annually.
```

## Capabilities

### Retrieve official country lists
Your agent pulls a full list of countries with standard ISO codes and capital cities.

### Identify global regional blocks
The agent identifies the correct World Bank geographic regions for any country.

### Filter by income taxonomy
Your agent categorizes countries into specific income levels like HIC or LIC.

### Get standard ISO codes
The agent fetches the official ISO standards to ensure data consistency.

### Map capital cities
Your agent retrieves the correct capital city for any country in the global list.

## Use Cases

### Identify high-income nations in East Asia
A user asks for high-income countries in East Asia. The agent uses search_income_levels and search_regions to provide the correct list.

### Map out Latin America and Caribbean regions
A developer needs to map out the Latin America & Caribbean region. The agent calls search_regions to get the official blocks.

### Filter by Lower-Middle Income tiers
An analyst needs to find Lower-Middle Income countries. The agent uses search_income_levels to pull the accurate tiers.

### Normalize messy country names
A data engineer needs to normalize country names. The agent uses list_countries to fetch official ISO codes.

## Benefits

- Stop hardcoding country names by using list_countries to pull live, accurate data every time.
- Ensure your agent uses correct regional blocks with search_regions for consistent global mapping.
- Get precise economic filtering by using search_income_levels instead of guessing income brackets.
- Avoid hallucinated ISO codes by pulling official standards directly from the World Bank source.
- Simplify global data normalization by letting your agent handle the taxonomy automatically.

## How It Works

The bottom line is you get instant access to official global metadata without managing any external API keys.

1. Subscribe to the World Bank Countries MCP via the Vinkius catalog.
2. Connect the Connector to your preferred AI client like Claude, Cursor, or Windsurf.
3. Ask your agent to fetch specific geographic data or economic classifications.

## Frequently Asked Questions

**Can the World Bank Countries MCP give me ISO codes?**
Yes, it pulls official ISO standards for every country in the database. This ensures your agent provides consistent and accurate codes for data normalization.

**Does World Bank Countries MCP include regional blocks?**
Yes, it includes the official World Bank geographic regions. Your agent can use this to correctly group countries into blocks like Sub-Saharan Africa or East Asia.

**How does World Bank Countries MCP handle income levels?**
It retrieves specific classifications like High Income Countries (HIC) and Lower-Middle Income. This allows your agent to perform precise economic filtering.

**Is World Bank Countries MCP good for data engineering?**
It is perfect for data engineering. It helps your agent normalize messy country names and geographic data into standardized formats automatically.

**Can I use World Bank Countries MCP to find capital cities?**
Yes, the tool provides the capital city for countries in the list. Your agent can use this to populate geographic data in your applications.

**Does World Bank Countries MCP work with Cursor?**
Yes, it works with any MCP-compatible client, including Cursor, Claude, and Windsurf. You can connect it via Vinkius and start using it immediately.

**How do I get started?**
Our World Bank Open Data servers require absolutely zero authentication. You do not need to register, get an API key, or setup webhooks. Just instantly connect and your AI agent can begin querying decades of global data.

**Can it map complex regions without hardcoding ISO values?**
Yes! Your agent queries the `/country` endpoint to dynamically resolve geographic mappings in real time, no static lists required.

**Does it classify nations into income tiers?**
Yes. Use the income-level resolution tools so your AI can immediately segregate advanced economies from developing nations based on precise World Bank thresholds.

**What is the scale of the data I can access?**
You have direct access to 64 years of historical data covering 196+ sovereign states and global regional aggregates, powered directly by the World Bank's robust open data initiatives.