World_bank_mcp_server

What is world_bank_mcp_server

world_bank_mcp_server is a specialized Model Context Protocol (MCP) server developed by Anshumax. This server facilitates interaction with the World Bank's open data API, enabling AI systems to leverage extensive global economic data. It is designed to allow AI assistants to retrieve and analyze indicators such as population statistics, poverty levels, and more for various countries. By providing structured access to these data sets, world_bank_mcp_server empowers AI systems to deliver insightful analyses and reports based on real-time global data.

How to Use world_bank_mcp_server

To start using the world_bank_mcp_server, you need to integrate it with your AI system, such as Claude Desktop. Here's a simple guide to set it up:

Using with Claude Desktop

1. Configuration: Add the following configuration to your claude_desktop_config.json file:

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

   This configuration tells Claude Desktop where to locate and how to run the world_bank_mcp_server.

2. Installation: To install the server automatically, you can use Smithery. Execute the following command in your terminal:

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

   This command uses Smithery to download and configure the server, streamlining the setup process.

By integrating this server into your system, you enable AI assistants to access and analyze World Bank data seamlessly, helping them provide more contextual and data-driven insights.

Key Features of world_bank_mcp_server

The world_bank_mcp_server comes packed with features designed to enhance data interaction and analysis:

• List Available Countries: The server can list all countries available in the World Bank's open data, providing a comprehensive view of the dataset's geographical scope.

• List Available Indicators: It can also list all available indicators, such as economic metrics, social statistics, and more, allowing users to understand the breadth of data they can work with.

• Analyze Indicators: Users can analyze various indicators for specific countries. This includes evaluating population segments, poverty numbers, and other critical economic and social metrics.

• Comprehensive Logging: The server includes robust logging capabilities, ensuring that all interactions and analyses are recorded for transparency and review.

By utilizing these features, organizations and AI systems can make informed decisions based on up-to-date global economic data, fostering more accurate and relevant analyses. The world_bank_mcp_server thus serves as a vital tool for harnessing the power of the World Bank's extensive data resources.