MCP Connector

Access World Bank Data for Analysis

World Bank data API MCP server for AI assistants to list countries, indicators, and analyze data.

Works with githubclaude

77
Spark score
out of 100
Updated 11 months ago
Version 1.0.0
Models
universal

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Why it matters

Enable AI assistants to seamlessly access and analyze data from the World Bank's open data API. Explore country-specific indicators like population and poverty metrics.

Outcomes

What it gets done

01

View available countries and indicators from the World Bank API.

02

Analyze key indicators by country.

03

Integrate with AI assistants for data exploration.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-world-bank-data-api | bash

Capabilities

Tools your agent gets

view_countries

View available countries in the open World Bank data API

view_indicators

View available indicators in the open World Bank data API

analyze_indicators

Analyze indicators such as population segments and poverty metrics by country

Overview

World Bank data API MCP server

This is a Model Context Protocol (MCP) server that interfaces with the open World Bank data API. It allows AI assistants to retrieve lists of available countries and indicators. The server also facilitates the analysis of specific indicators, such as population segments and poverty numbers, for the countries available in the World Bank dataset. Comprehensive logging is included. Use this MCP server when you need to integrate AI assistants with the World Bank's extensive open data resources. It is ideal for applications requiring the listing or analysis of global development indicators across various countries.

What it does

As an AI assistant developer, my job is to enable AI agents to access and analyze global development data. The big job is to provide AI agents with the ability to query and understand complex datasets for informed decision-making. The small job is to connect an AI agent to the World Bank's open data API, allowing it to list countries, list indicators, and analyze specific indicators like population or poverty numbers for those countries. This can be integrated into Claude Desktop by adding the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "world_bank": {
      "command": "uv",
      "args": [
        "--directory", 
        "path/to/world_bank_mcp_server",
        "run",
        "world_bank_mcp_server"
      ]
    }
  }
}

Alternatively, installation via Smithery is straightforward:

npx -y @smithery/cli install @anshumax/world_bank_mcp_server --client claude
Source README

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World Bank MCP Server

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A Model Context Protocol (MCP) server that enables interaction with the open World Bank data API. This server allows AI assistants to list indicators and analyse those indicators for the countries that are available with the World Bank.

Features

  • List available countries in the World Bank open data API
  • List available indicators in the World Bank open data API
  • Analyse indicators, such as population segments, poverty numbers etc, for countries
  • Comprehensive logging

Usage

With Claude Desktop

Add this to your claude_desktop_config.json:

{
  "mcpServers": {
    "world_bank": {
      "command": "uv",
      "args": [
        "--directory", 
        "path/to/world_bank_mcp_server",
        "run",
        "world_bank_mcp_server"
      ]
    }
  }
}

Installing via Smithery

To install World Bank Data Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @anshumax/world_bank_mcp_server --client claude

FAQ

Common questions

Discussion

Questions & comments · 0

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