# World Bank Full Access MCP

> World Bank Full Access MCP gives your AI client instant, zero-auth access to 29,506 global statistical indicators and data points across all 21 World Bank macro-categories. It's a massive toolkit for researchers who need deep economic, demographic, or health metrics from every angle.

## Overview
- **Category:** the-unthinkable
- **Price:** Free
- **Tags:** statistical-research, macro-data, demographics, global-indicators, data-query, research-automation

## Description

Need to cross-reference everything from childhood mortality rates to foreign direct investment? This MCP connects your AI agent directly to the entire World Bank data catalog. Instead of jumping between dozens of specialized APIs and wrestling with credentials, you get a single source for global statistics.

Your agent can search through every indicator by name or topic. It doesn't just pull one number; it pulls complex datasets covering everything from population growth percentages to CO2 emissions per capita, across any country or region you specify. This massive scope means you never have to worry about missing a critical data point because of an API limitation. When you connect this World Bank Full Access MCP through Vinkius, your AI client becomes the most capable statistical scholar available, letting you focus entirely on analysis rather than connection management.

## Tools

### get_indicator_data
Retrieves any specific World Bank indicator for any given country or region.

### get_total_population
Gets the total population count for a specified area.

### get_population_growth
Calculates the annual percentage change in total population.

### get_poverty
Fetches poverty headcount ratios at specific international price points.

### get_gini_index
Retrieves the Gini index, a measure of income inequality.

### get_life_expectancy
Gets the average life expectancy at birth for a country or region.

### get_infant_mortality
Calculates and retrieves the infant mortality rate.

### get_health_expenditure
Gets current health expenditure as a percentage of Gross Domestic Product (GDP).

### get_literacy_rate
Retrieves the adult literacy rate for any given area.

### get_unemployment_rate
Gets the unemployment total as a percentage of the labor force.

### get_labor_force
Retrieves the total size of the working-age population (the labor force).

### search_indicators
Searches the entire catalog to find specific indicators by keyword or phrase.

### get_exports
Retrieves goods and services exports as a percentage of GDP.

### get_fdi
Gets Foreign Direct Investment net inflows as a percentage of GDP.

### get_co2_emissions
Retrieves CO2 emissions in metric tons per capita.

### get_renewable_energy
Gets the total consumption of renewable energy as a percentage of all energy use.

### get_electricity_access
Retrieves the percentage of the population with access to electricity.

### get_forest_area
Gets the total forest area as a percentage of land area.

### get_internet_usage
Retrieves the percentage of individuals using the internet in a country.

### get_research_dev_expenditure
Gets research and development expenditure as a percentage of GDP.

### get_external_debt
Retrieves total external debt stocks as a percentage of Gross National Income (GNI).

### get_women_in_parliament
Gets the proportion of national parliament seats held by women.

### list_topics
Lists all available World Bank macro-categories or topics for browsing research areas.

### get_agriculture_gdp
Gets the value added from agriculture, forestry, and fishing as a percentage of GDP.

### list_countries
Lists all recognized countries in the World Bank catalog.

### search_regions
Lists and helps you select specific geographic regions covered by the data.

### search_income_levels
Lists available World Bank income classifications (e.g., Low Income, High Income).

### get_gdp
Gets the country's Gross Domestic Product (GDP) in current US dollars.

### get_gdp_growth
Calculates and retrieves the annual percentage change in GDP.

### get_inflation
Gets the inflation rate based on consumer prices for a given year.

## Prompt Examples

**Prompt:** 
```
Search for gender-related indicators and pull data for Nordic countries.
```

**Response:** 
```
🌍 **Gender Indicators: Nordic Countries**

Found 47 gender-related indicators. Key findings for Sweden, Norway, Denmark, and Finland: Female labor force participation averages 76%, gender parity in education is near 1.0, and maternal mortality rates are among the lowest globally.
```

**Prompt:** 
```
What topics are available in the World Bank data catalog?
```

**Response:** 
```
🌍 **World Bank Topics (21 Categories)**

1. Agriculture & Rural Development
2. Aid Effectiveness
3. Economy & Growth
4. Education
5. Energy & Mining
6. Environment
7. Financial Sector
8. Gender
9. Health
10. Infrastructure
11. Poverty
12. Private Sector
13. Public Sector
14. Science & Technology
15. Social Development
16. Social Protection & Labor
17. Trade
18. Urban Development
19. Climate Change
20. External Debt
21. Millenium Development Goals
```

**Prompt:** 
```
Find an indicator for 'women in parliament' and get data for the G7 countries.
```

**Response:** 
```
🌍 **Women in Parliament: G7 Countries**

Indicator found: SG.GEN.PARL.ZS (Proportion of seats held by women in national parliaments). Results show France leads the G7 at ~37%, followed by Germany ~35%, UK ~34%, Italy ~33%, Canada ~31%, Japan ~10%, and USA ~28%.
```

## Capabilities

### Search Global Indicators
Find specific data points by searching the catalog of nearly 30,000 World Bank indicators.

### Retrieve Core Economic Metrics
Pull key economic numbers like GDP, inflation rates, and export values for any region or country.

### Analyze Demographics
Get detailed population statistics, including total populations, growth percentages, and literacy rates.

### Map Development Status
Query social indicators covering poverty levels, life expectancy, and education metrics like adult literacy rate.

### Browse Data Categories
List all World Bank topics, including economy, health, and climate change, to guide your research scope.

## Use Cases

### Comparing Development Trajectories
A policy analyst needs to model which factors correlate most strongly with economic stability. They ask their agent to pull `get_external_debt` alongside `get_fdi` and `get_gdp_growth`, allowing them to build a comprehensive risk assessment without manual data scrubbing.

### Academic Health Research
A medical researcher wants to see how population size impacts public health. They use the MCP to compare `get_infant_mortality` and `get_life_expectancy` across dozens of countries, running comparisons that used to take a week.

### Environmental Impact Assessment
An environmental consultant needs to model climate vulnerability. They combine data from `get_co2_emissions`, `get_forest_area`, and `get_renewable_energy` to generate a comprehensive report showing resource dependence.

### Labor Market Analysis
A labor economist investigates market health. They ask the agent to compare `get_unemployment_rate` against total available workers using `get_labor_force`, providing an immediate view of job market stress.

## Benefits

- Stop running multiple queries. You use `search_indicators` to find any of the 30 macro-categories—from Climate Change (`get_co2_emissions`) to Trade (`get_exports`)—in one place.
- Get deep demographic data instantly. Pulling total population figures using `get_total_population`, annual growth percentages via `get_population_growth`, and literacy rates with `get_literacy_rate` takes seconds, not hours of spreadsheet work.
- Compare economies across sectors easily. You can pair GDP metrics (`get_gdp`) with social data like the Gini index (`get_gini_index`), allowing you to link economic growth directly to inequality.
- Zero hassle on credentials. Because this MCP is managed by Vinkius, you skip the headache of API keys and endpoint changes, letting your agent just ask for the data it needs.
- Focus on global policy impact. Need to compare health spending (`get_health_expenditure`) against gender representation in politics (`get_women_in_parliament`)? This MCP handles both datasets seamlessly.

## How It Works

The bottom line is you tell your agent what global insights you need, and it handles all the complex data retrieval from thousands of sources.

1. Connect the World Bank Full Access MCP in your preferred AI client. This establishes a direct, zero-credential connection.
2. Instruct your agent with a natural language query (e.g., 'Compare life expectancy and total population growth for Brazil and Nigeria').
3. The MCP executes multiple data calls across relevant tools and returns the structured, comprehensive dataset.

## Frequently Asked Questions

**Does World Bank Full Access MCP handle data for every country?**
Yes. It works across all recognized World Bank countries and regions, allowing comparisons between vast geographic areas or individual nations using tools like `list_countries`.

**How do I find a specific indicator to use with get_indicator_data?**
Start by running the `search_indicators` tool. It searches the full catalog of 29,506 indicators and gives you the exact name or code required for any subsequent query.

**Can I compare GDP growth with climate data?**
Absolutely. You can pair `get_gdp_growth` results directly alongside environmental metrics like `get_co2_emissions`, providing a powerful correlation analysis.

**What if I need to track multiple income levels?**
You can use the `search_income_levels` tool to understand classification boundaries, and then reference those classifications when querying tools like `get_poverty` to narrow your focus.

**Is this MCP better than using dedicated World Bank APIs?**
The main advantage is consolidation. Instead of managing multiple specialized API connections, you use one unified gateway that handles the complexity for you. It's designed for agent usage, not direct coding.

**How do I start my research query with World Bank Full Access MCP?**
Start broad. Use `list_topics` to see all 21 categories available (like Economy or Health). Then, narrow down your focus by combining those topics into a single natural language request for your agent.